CA2425423C - Methods and apparatus for downhole fluids analysis - Google Patents
Methods and apparatus for downhole fluids analysis Download PDFInfo
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- CA2425423C CA2425423C CA2425423A CA2425423A CA2425423C CA 2425423 C CA2425423 C CA 2425423C CA 2425423 A CA2425423 A CA 2425423A CA 2425423 A CA2425423 A CA 2425423A CA 2425423 C CA2425423 C CA 2425423C
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- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000004458 analytical method Methods 0.000 title claims description 17
- 230000004044 response Effects 0.000 claims abstract description 50
- 238000004611 spectroscopical analysis Methods 0.000 claims abstract description 35
- 239000011159 matrix material Substances 0.000 claims abstract description 23
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 65
- 238000005259 measurement Methods 0.000 claims description 64
- 230000015572 biosynthetic process Effects 0.000 claims description 43
- 239000000203 mixture Substances 0.000 claims description 26
- 230000003287 optical effect Effects 0.000 claims description 18
- 238000004891 communication Methods 0.000 claims description 8
- 229930195733 hydrocarbon Natural products 0.000 claims description 8
- 150000002430 hydrocarbons Chemical class 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 7
- 239000000356 contaminant Substances 0.000 claims description 6
- 239000004215 Carbon black (E152) Substances 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 4
- 239000007789 gas Substances 0.000 description 53
- 239000003921 oil Substances 0.000 description 34
- 238000005755 formation reaction Methods 0.000 description 31
- 239000000523 sample Substances 0.000 description 29
- IMNFDUFMRHMDMM-UHFFFAOYSA-N N-Heptane Chemical compound CCCCCCC IMNFDUFMRHMDMM-UHFFFAOYSA-N 0.000 description 20
- 239000010779 crude oil Substances 0.000 description 18
- 238000001228 spectrum Methods 0.000 description 11
- 230000001419 dependent effect Effects 0.000 description 9
- 229910052594 sapphire Inorganic materials 0.000 description 7
- 239000010980 sapphire Substances 0.000 description 7
- 238000011109 contamination Methods 0.000 description 6
- 239000000835 fiber Substances 0.000 description 6
- 238000013459 approach Methods 0.000 description 5
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- 238000007789 sealing Methods 0.000 description 5
- 238000012546 transfer Methods 0.000 description 5
- 239000012223 aqueous fraction Substances 0.000 description 4
- 239000000706 filtrate Substances 0.000 description 4
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- WSAOBNNJKKHUSB-UHFFFAOYSA-N heptane;methane Chemical compound C.CCCCCCC WSAOBNNJKKHUSB-UHFFFAOYSA-N 0.000 description 2
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
- G01N33/241—Earth materials for hydrocarbon content
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
- E21B49/08—Obtaining fluid samples or testing fluids, in boreholes or wells
- E21B49/10—Obtaining fluid samples or testing fluids, in boreholes or wells using side-wall fluid samplers or testers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/2823—Oils, i.e. hydrocarbon liquids raw oil, drilling fluid or polyphasic mixtures
Abstract
A method of determining GOR comprising subjecting a fluid to spectroscopic analysis at a first wavelength sensitive to gas and a second wavelength sensitive to oil, determining a response matrix for the contribution of gas at the first and second wavelengths an the contribution of oil at the first and second wavelengths, determining a signal response vector and the two wavelengths, calculating a mass fraction vector from the response matrix and the signal response vector and using the mass fraction vector to determine GOR.
Description
METHODS AND APPARATUS FOR DOWNHOLE FLUIDS ANALYSIS
Field of the Invention The present invention relates to the field of downhole fluid analysis applicable to formation evaluation and testing in the exploration and development of hydrocarbon-producing wells such as oil or gas wells. In particular, the invention provides methods and apparatus suitable for performing downhole analysis on fluids Produced in such wells using optical techniques.
Background and Prior Art In order to evaluate the nature of underground formations surrounding a borehole, it is often desirable to obtain samples of formation fluids from various specific locations in a borehole.
Tools have been developed which allow several samples to be taken from the formation in a single logging run. Examples of such tools can be found in US 3,780, 575 and US 3,859,851, The RFT and MDT tools of Schlumberger represent two specific versions of sampling tools. In particular, the MDT tool includes a fluid analysis module to allow analysis of the fluids sampled by the tool. Figure 1 shows a schematic diagram of such a tool and includes a borehole tool 10 for testing earth formations and analysing the composition of fluids from the formation is shown in Figure 1. The tool 10 is suspended in the borehole 12 from the lower end of a logging cable 15 that is connected in a conventional fashion to a surface system 18 incorporating appropriate electronics and processing systems for control of the tool. The tool 10 includes an elongated body 19 which encloses the downhole portion of the tool control system 16. The body 19 also carries a selectively extendible fluid admitting assembly 20 (for example as shown in the '575 and '851 patents referenced above, and as described in US 4,860,581, and a selectively extendible anchoring member 21 which are respectively arranged on opposite sides of the body 19. The fluid admitting assembly 20 is equipped for selectively sealing off or isolating portions of the wall of the borehole 12 such that pressure or fluid communication with the adjacent earth formation is established. A fluid analSrsis module 25 is also included within the tool body 19, through which the obtained fluid flows.
The fluid can then be expelled through a port (not shown) back into the borehole, or can be sent to one or more sample chambers 22, 23 for recovery at the surface. Control of the fluid admitting assembly, the fluid analysis section and the flow path to the sample chambers is maintained by the electrical control systems 16, 18.
The OFA, which is a fluid analysis module 25 as found in the MDT mentioned above, determines the identity of the fluids in the MDT flow stream and quantifies the oil and water content. In particular, US 4,994,671 describes a borehole apparatus which includes a testing chamber, means for directing a sample of fluid into the chamber, a light source preferably emitting near infrared rays and visible light, a spectral detector, a data .base means, and a processing means. Fluids drawn from the formation into the testing chamber are analysed by directing the light at the fluids, detecting the spectrum of the transmitted and/or backscattered light, and processing the information accordingly (and preferably based on the information in the data base relating to different spectra), in order to quantify the amount of water and oil in the fluid. Thus, the formation oil can be properly analysed and quantified by type.
US 5,167,149, and US 5,201,220 describe apparatus for estimating the quantity of gas present in a flow stream. A prism is attached to a window in a flow stream and light is directed through the prism to the window and light reflected from the window/flow interface at certain specific angles is detected to indicate the presence of gas in the flow.
As set forth in US 5,266,800, by monitoring optical absorption spectrum of the fluid samples obtained over time, a determination can be made as to when a formation oil is being obtained as opposed to a mud filtrate. Further, as set forth in US
5,331,156 to Hines, by making optical density (OD) measurements of the fluid stream at certain predetermined energies, oil and water fractions of a two-phase fluid stream may be quantified.
In situ gas quantification is described in US 5,167,149, and US 5,201,220, wherein a rough estimate of the quantity of gas present in the flow stream can be obtained by providing a gas detection module having a detector array which detects reflected light rays having certain angles of incidence.
Gas:Oil ratio (GOR) is an important property of fluids obtained from hydrocarbon wells and which is normally only measured at the surface. US 5,939,717' describes methods for determining GOR which include providing an OFA module which .77675-9 subjects formation fluids to NIR illumination and which provides a spectral measurement of peaks at about 6,000 cm-1 and about 5,800 cm-1. The methods include calculating a ratio of the amplitudes of the absorption peaks to determine GOR. Alternatively, the methods of calculating the ratio include referring to a database of spectra of hydrocarbons found in formation fluid and adjusting the amplitudes of the methane and oil peaks to account for the influences of other hydrocarbons on the spectrum of the formation fluid.
While GOR is in itself a useful measurement, the development of the measured GOR over time as fluids flow from the formation into the OFA flow line can be used to determine the degree of contamination of the formation fluids by oil-based mud filtrate or the like.
Examples of this approach are found in USSN 09/255,999 and USSN 09/300,190 = =
The present invention seeks to provide improved methods for estimating GOR and associated measurements, methods for interpreting such measurements, and apparatus suitable for making such measurements.
Summary of the Invention A first aspect of the present invention provides a method of determining GOR
comprising subjecting a fluid to spectroscopic analysis at a first wavelength sensitive to gas and a second wavelength sensitive to oil, determining a response matrix for the contribution of gas at the first and second wavelengths and the contribution of oil at the first and second wavelengths, determining a signal response vector and the two wavelengths, calculating a mass fraction vector from the response matrix and the signal response vector and using the mass fraction vector to determine GOR.
A second aspect of the invention provides apparatus for determining GOR which includes a spectroscopy module operating at least at a first wavelength sensitive to gas and a second wavelength sensitive to oil, means being provided to determine GOR from a mass fraction vector derived from a response matrix and a signal response vector.
A third aspect of the invention provides an method of compensating for temperature effects in spectroscopic measurements on formation fluids, comprising determining temperature =
. 77675-9 dependency curves for source and measurement data, and analysing the fluid based on the measured response and the temperature dependency curves.
A fourth aspect of the invention provides a method for detecting gas in a flow line, comprising subjecting the fluids to spectroscopic measurements in the flow line at least at a wavelength sensitive to the presence of methane, and using the measured response to indicate the presence of gas.
A fifth aspect of the invention provides a method of detecting contaminants in the fluid in a flow line, comprising subjecting the fluids to spectroscopic measurements in the flow line at least at a wavelength sensitive to the presence of methane, and using the measured response to indicate the presence of contaminants.
A sixth aspect of the invention provides apparatus for analysing fluids downhole, comprising two spectroscopic analysis modules connected in series to a flow line, correlation of the outputs of the modules being used to calculate the flow rate of fluid in the flow line.
A seventh aspect of the invention provides a method of determining gas-oil ratio of a formation fluid comprising: a) subjecting the fluid to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data; b) determining a response matrix h from the response of gas at the two wavelengths and the response of oil at the _.
two wavelengths; c) determining a signal response vector S
Field of the Invention The present invention relates to the field of downhole fluid analysis applicable to formation evaluation and testing in the exploration and development of hydrocarbon-producing wells such as oil or gas wells. In particular, the invention provides methods and apparatus suitable for performing downhole analysis on fluids Produced in such wells using optical techniques.
Background and Prior Art In order to evaluate the nature of underground formations surrounding a borehole, it is often desirable to obtain samples of formation fluids from various specific locations in a borehole.
Tools have been developed which allow several samples to be taken from the formation in a single logging run. Examples of such tools can be found in US 3,780, 575 and US 3,859,851, The RFT and MDT tools of Schlumberger represent two specific versions of sampling tools. In particular, the MDT tool includes a fluid analysis module to allow analysis of the fluids sampled by the tool. Figure 1 shows a schematic diagram of such a tool and includes a borehole tool 10 for testing earth formations and analysing the composition of fluids from the formation is shown in Figure 1. The tool 10 is suspended in the borehole 12 from the lower end of a logging cable 15 that is connected in a conventional fashion to a surface system 18 incorporating appropriate electronics and processing systems for control of the tool. The tool 10 includes an elongated body 19 which encloses the downhole portion of the tool control system 16. The body 19 also carries a selectively extendible fluid admitting assembly 20 (for example as shown in the '575 and '851 patents referenced above, and as described in US 4,860,581, and a selectively extendible anchoring member 21 which are respectively arranged on opposite sides of the body 19. The fluid admitting assembly 20 is equipped for selectively sealing off or isolating portions of the wall of the borehole 12 such that pressure or fluid communication with the adjacent earth formation is established. A fluid analSrsis module 25 is also included within the tool body 19, through which the obtained fluid flows.
The fluid can then be expelled through a port (not shown) back into the borehole, or can be sent to one or more sample chambers 22, 23 for recovery at the surface. Control of the fluid admitting assembly, the fluid analysis section and the flow path to the sample chambers is maintained by the electrical control systems 16, 18.
The OFA, which is a fluid analysis module 25 as found in the MDT mentioned above, determines the identity of the fluids in the MDT flow stream and quantifies the oil and water content. In particular, US 4,994,671 describes a borehole apparatus which includes a testing chamber, means for directing a sample of fluid into the chamber, a light source preferably emitting near infrared rays and visible light, a spectral detector, a data .base means, and a processing means. Fluids drawn from the formation into the testing chamber are analysed by directing the light at the fluids, detecting the spectrum of the transmitted and/or backscattered light, and processing the information accordingly (and preferably based on the information in the data base relating to different spectra), in order to quantify the amount of water and oil in the fluid. Thus, the formation oil can be properly analysed and quantified by type.
US 5,167,149, and US 5,201,220 describe apparatus for estimating the quantity of gas present in a flow stream. A prism is attached to a window in a flow stream and light is directed through the prism to the window and light reflected from the window/flow interface at certain specific angles is detected to indicate the presence of gas in the flow.
As set forth in US 5,266,800, by monitoring optical absorption spectrum of the fluid samples obtained over time, a determination can be made as to when a formation oil is being obtained as opposed to a mud filtrate. Further, as set forth in US
5,331,156 to Hines, by making optical density (OD) measurements of the fluid stream at certain predetermined energies, oil and water fractions of a two-phase fluid stream may be quantified.
In situ gas quantification is described in US 5,167,149, and US 5,201,220, wherein a rough estimate of the quantity of gas present in the flow stream can be obtained by providing a gas detection module having a detector array which detects reflected light rays having certain angles of incidence.
Gas:Oil ratio (GOR) is an important property of fluids obtained from hydrocarbon wells and which is normally only measured at the surface. US 5,939,717' describes methods for determining GOR which include providing an OFA module which .77675-9 subjects formation fluids to NIR illumination and which provides a spectral measurement of peaks at about 6,000 cm-1 and about 5,800 cm-1. The methods include calculating a ratio of the amplitudes of the absorption peaks to determine GOR. Alternatively, the methods of calculating the ratio include referring to a database of spectra of hydrocarbons found in formation fluid and adjusting the amplitudes of the methane and oil peaks to account for the influences of other hydrocarbons on the spectrum of the formation fluid.
While GOR is in itself a useful measurement, the development of the measured GOR over time as fluids flow from the formation into the OFA flow line can be used to determine the degree of contamination of the formation fluids by oil-based mud filtrate or the like.
Examples of this approach are found in USSN 09/255,999 and USSN 09/300,190 = =
The present invention seeks to provide improved methods for estimating GOR and associated measurements, methods for interpreting such measurements, and apparatus suitable for making such measurements.
Summary of the Invention A first aspect of the present invention provides a method of determining GOR
comprising subjecting a fluid to spectroscopic analysis at a first wavelength sensitive to gas and a second wavelength sensitive to oil, determining a response matrix for the contribution of gas at the first and second wavelengths and the contribution of oil at the first and second wavelengths, determining a signal response vector and the two wavelengths, calculating a mass fraction vector from the response matrix and the signal response vector and using the mass fraction vector to determine GOR.
A second aspect of the invention provides apparatus for determining GOR which includes a spectroscopy module operating at least at a first wavelength sensitive to gas and a second wavelength sensitive to oil, means being provided to determine GOR from a mass fraction vector derived from a response matrix and a signal response vector.
A third aspect of the invention provides an method of compensating for temperature effects in spectroscopic measurements on formation fluids, comprising determining temperature =
. 77675-9 dependency curves for source and measurement data, and analysing the fluid based on the measured response and the temperature dependency curves.
A fourth aspect of the invention provides a method for detecting gas in a flow line, comprising subjecting the fluids to spectroscopic measurements in the flow line at least at a wavelength sensitive to the presence of methane, and using the measured response to indicate the presence of gas.
A fifth aspect of the invention provides a method of detecting contaminants in the fluid in a flow line, comprising subjecting the fluids to spectroscopic measurements in the flow line at least at a wavelength sensitive to the presence of methane, and using the measured response to indicate the presence of contaminants.
A sixth aspect of the invention provides apparatus for analysing fluids downhole, comprising two spectroscopic analysis modules connected in series to a flow line, correlation of the outputs of the modules being used to calculate the flow rate of fluid in the flow line.
A seventh aspect of the invention provides a method of determining gas-oil ratio of a formation fluid comprising: a) subjecting the fluid to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data; b) determining a response matrix h from the response of gas at the two wavelengths and the response of oil at the _.
two wavelengths; c) determining a signal response vector S
=
at the two wavelengths; d) calculating a mass fraction _ vector m of a gas-oil mixture according to the relationship S=Bm ; and e) determining the gas-oil ratio from the mass fraction vector.
An eighth aspect of the invention provides apparatus for determining gas-oil ratio of a fluid obtained from a formation surrounding a borehole comprising: a) a tool body which can be located in the borehole and establish fluid communication with the formation so as to withdraw a sample of fluid therefrom; b) a spectroscopy module located in the tool body for subjecting the fluid sample to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data; c) means for determining the gas-oil ratio of _ the sample which calculates a mass fraction vector m of a gas-oil mixture according the relationship S=Bm , wherein S
is a signal response vector at the two wavelengths, h is a response matrix formed from the response of gas at the two wavelengths and the response of oil at the two wavelengths;
and determines the gas-oil ratio from the mass fraction vector m.
A ninth aspect of the invention provides a method of analysing fluids from an underground formation using a spectrometer having a light source, a measurement cell and a detector, the method comprising: a) determining a temperature dependency curve for source data made from measurements made by the detector of light passing directly from the source; b) determining a temperature dependency curve for measure data made from measurements made by the detector of light passing through the measurement cell; c) 4a measuring the response of the detector to light passing through the measurement cell when filled with fluid; and d) analysing the fluid based on the measured response and the determined temperature dependency curves.
A tenth aspect of the invention provides a method of analysing fluids from an underground formation using a spectrometer having a light source, a flow line including a measurement cell and a detector, the method comprising: a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of gas in the flow line.
An eleventh aspect of the invention provides a method of analysing fluids from an underground formation using a spectrometer having a light source, a flow line including a measurement cell and a detector, the method comprising: a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of contaminants in the fluid in the flow line.
A twelfth aspect of the invention provides apparatus for analysing fluids from a formation surrounding a borehole, comprising: a) a tool body for location in the borehole; b) means for establishing fluid communication with the formation; c) a flow line in the tool body for flowing fluid samples from the formation; d) means for sampling fluid; and e) first and second optical analysis modules located in the tool body between the means for establishing fluid communication with the formation and the means for 4b = 77675-9 sampling fluid, each module capable of making optical measurements on the fluids in the flow line.
Brief Description of the Drawings Figure 1 shows a prior art tool including a fluid analysis module;
Figure 2 shows a gas detector cell for use in a tool according to the invention;
Figure 3 shows a spectroscopy cell for use in a tool according to the invention;
Figure 4 shows a top view of the gas and spectroscopy cells for use in an embodiment of the invention;
Figure 5 shows a side view of the gas and spectroscopy cells for use in an embodiment of the invention;
Figure 6 shows detail of the gas cell window and prism;
Figure 7 shows a side view of the gas and spectroscopy cells with parts omitted for clarity;
Figure 8 shows a gas cell cross section on line BB
of Figure 7;
Figure 9 shows a spectrometer cell cross section on line AA of Figure 7;
Figure 10 shows a diagrammatic view of a spectrometer module;
Figure 11 shows plot of temperature compensation data;
4c Figure 12 shows an embodiment of a tool according to an aspect of the invention with two spectroscopy modules;
Figure 13 shows a section of log against time for a sample including gas;
Figure 14 shows an experimental setup for determining GOR;
Figure 15 shows a plot of integrated average spectrometer OD values for various spectral windows as a function of methane mass density;
Figure 16 shows a plot of integrated average spectrometer OD values for various spectral windows as a function of n-heptane mass density;
Figure 17 shows values of GOR predicted according to an aspect of the invention vs. actual values measured for binary mixtures;
Figure 18 shows the corresponding plot with live crude samples and theoretical an binary mixture figures adjusted by a constant; and Figures 19 and 20 show plots of various spectrometer channels vs. time for scattering correction.
Description of the Preferred Embodiment The present invention finds its application in tools such as the MDT which is described above in relation to Figure 1 and in US 4,860,581. Aspects of the MDT tool that are not considered relevant to the present invention nor contributing to its function will not be described below.
In particular, the present invention finds, its application in an OFA module of the MDT tool as described above and in US 4,994,671. As with the previous embodiment, a fluid analysis module incorporating the present invention includes a gas detector cell which operates generally as described in US 5,167,149 and US 5,201,220, and a spectroscopy module which operated generally as described in the '671 patent referenced above. The construction and operation of the gas detector cell and spectroscopy module in accordance with the invention will be described in more detail below.
The structure of the gas detector cell is shown in more detail in Figure 2.
The cell is formed in a flow line 100 of the MDT which receives fluids from the formation. An opening 102 is provided in the flow line 100 to receive a window, prism and flange structure. A flow channel 104 is provided in the flow line 100 and a sapphire window 106 is mounted in the opening 102 over the channel 104. A sapphire prism 108 is fixed so as to be in optical contact with the surface of the window 106 on the opposite side from the flow channel 104. The window 106 and prism 108 are secured in the opening 102 by means of a stainless steel flange 109 which is screwed onto the flow line 100 and holds the window 106 in place against the pressure of fluids in the flow line 100. Effective sealing is ensured by the use of a teflon window support 110 between the window 106 and the flow channel 104, and by the use of o-rings 112 around the window 106 in the opening 102. The flange is also provided with optical connectors (not shown in Figure 2) which optically connect to the upper surface of the prism 108. The upper and lower surfaces of the window 106 and prism 108 are polished to optical quality, the side surfaces of the window 106 are polished to assist sealing.
The spectroscopy cell is shown in general detail in Figure 3. The cell is located in the same flow line 100 as the gas detector cell described above. In this case opposed openings 120, 122 are provided in the flow line 100, each of which receive input and output window and flange structures respectively. Structurally, the input and output sides of the cell are the same so only the input side will be described in detail. A monel flow channel 124 is located in the flow line 100 between the openings 120, 122 and defines window-locating seats. Sapphire windows 126 are located in the seats facing each other across the flow channel 124. The windows 126 are secured in place by stainless steel flanges 128 which are provided with optical connectors to connect the outer faces of the windows 126 with fibre bundles 130. The flanges are screwed to each other so as to seal the windows into the seats. Sealing is assisted by the use of back up rings and o-rings 132. Inner and outer faces of the windows 126 are polished to optical quality, side faces are polished to assist sealing.
The gas detector cell 140 and spectroscopy cell 145 are conveniently provided in a single structure in the flow line which is shown in more detail in Figures 4 to 9 with some parts, omitted for clarity.
The spectrometer cell described above forms part of a spectrometer module, the basic structure of which is shown in Figure 10. The spectrometer comprises a halogen lamp, broad spectrum light source 150 which passes light through a chopper wheel 152 (driven by a chopper motor 154) into an optical fibre bundle 156. Outputs are taken from the bundle 156 to provide input to a motor synchronisation photodiode 158, a source light input 159 to a light distributor 160 (forming part of the detector described in more detail below) and to a measure path 162 which provides input to the spectrometer cell 145. A calibration wheel 164 driven by a rotary solenoid switch 166 selects whether light passes into the source light input path 159, the measure path 162, or both. The input fibre bundle 168 connects to the input flange 170 of the cell and optically connects to the sapphire window 172. Light is transmitted from the window 172, across the flow path 174 through another sapphire window 172 and into an output fibre bundle 176 connected to the output flange 178. The output bundle also connects to the light distributor 160. The light distributor 160 distributes the light received from the source light input 159 and the output fibre bundle 176 to a number of different channels. For the purposes of this example, only four channels are shown but other numbers are practically useful. One particularly preferred example has eleven channels. Each channel comprises lens 180 and bandpass filter 182 arrangement feeding to a photodiode 184. The filters are chosen to select predetermined wavelengths of light for the channels in the range from visible to near infrared. Each channel provides an output signal relative to the wavelength in question.
The spectroscopy module has four modes, Sleep, Dark, Source, and Measure. When the module is in Sleep mode, the electric power is on but lamp 150 and chopper motor 154 are both off. The module detects nothing. When in Dark mode, lamp 150 and motor 154 are both on but the solenoid switch 166 blocks both source and measure paths 159, 162. No light is detected and the module measures background level. In Source mode, the solenoid switch 166 opens the source path 159 but the measure path 162 is still blocked. The light from lamp 159 can pass through the source path 159 and detected as a reference spectrum. When the module is in Measure mode, the solenoid switch 166 opens the measure path 162 and source path 159 is blocked.
The light from the halogen lamp 159 goes into input fiber bundle 168 and passes through the fluid in the flowline 174 via the sapphire windows 172 and passes into the output fiber bundle 176 and from there to the distributor 160 and detected as the fluid spectrum data.
When used to determine GOR, it is necessary that the module has a channel that is sensitive to the methane peak in the measured spectrum. This peak occurs at 1671m with a shoulder at 1650nm. Two approaches for detecting this peak are proposed. In the first a narrow band filter is used to detect only the 167 mm peak. A suitable filter would have 167 mm centre wavelength (CW) and 15nm full width half maximum (FWHM). In the second approach, the channel detects both the peak and the shoulder. In this case, a 1657.5nm CW and 35nm FWHM
filter can be used. The different filters give different responses for signal level and background level and so the choice of which is most appropriate will be made on a case by case basis.
If desired, both wide and narrow band methane channels can be provided although this will be at the expense of the number of channels available for other wavelength measurements.
As the GOR measurement is absolute measurement, the measurement accuracy of the spectrum is very important. In order to keep the measurement accuracy over the temperature range from 25 to 175 C, a temperature compensation system is introduced. First measure mode data Wcat(TYMca/(To), = in Figure 11) and source mode data (Sca/(TYScar(To), = in Figure 11) are acquired at several temperature from 25 C to 175 C. All data are normalised relative to the room temperature (25 C) data.
Fitting curves for measure data (f. (7)) and source data (g (7)) as a function of temperature are created using least square method for these data.
Actual measurement data from the spectrometer module in use are compensated with these .11/(T)/ M(T M(T)71(r(T ) s(T)IS(T) S(T)/S(710) g(T) OD = -log M(T) = S(To ) = g(T) M(To) = S(T) = (T) fitting curves in the following manner:
As well as providing information about the composition of the fluids, the spectroscopy module can be used to give information about the flow rate of fluids in the tool.
Figure 12 shows one tool configuration which has two spectroscopy modules connected in series with a common flow line.
By correlating the outputs of the two modules over time, the flow rate of fluid in the flow line can be determined and the appropriate sampling time derived. The tool configuration shown in Figure 12 comprises a tool body 200 having a packer module 202 at its lower end and a flow line 204 running along its length to a pumpout module 206 located near its upper end. Above the packer module 202 -is a probe module 208 which allows fluid communication between the formation and the flow line 204. Two spectroscopy modules 210, 212 are located above the probe module 208, connected in series to the flow line 204. Each spectroscopy module is substantially as described above in relation to Figure 10. Above the spectroscopy modules 210, 212, is a series of sample chambers 214 connected to the flow line 204 for receiving samples of formation fluid. In the tool of Figure 12, this time can be the time at which fluid is admitted to on or other of the sample chambers and can be selected to ensure minimum contamination by drilling fluid or filtrate.
The various embodiments of the apparatus described above can be used to make a number of measurements which can be used to provide information about the formation fluids. For example, OD-based measurements distinguishing between crudes and filtrate determination (as described in US 5,266,800), or oil/water phase analysis (as described in US
at the two wavelengths; d) calculating a mass fraction _ vector m of a gas-oil mixture according to the relationship S=Bm ; and e) determining the gas-oil ratio from the mass fraction vector.
An eighth aspect of the invention provides apparatus for determining gas-oil ratio of a fluid obtained from a formation surrounding a borehole comprising: a) a tool body which can be located in the borehole and establish fluid communication with the formation so as to withdraw a sample of fluid therefrom; b) a spectroscopy module located in the tool body for subjecting the fluid sample to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data; c) means for determining the gas-oil ratio of _ the sample which calculates a mass fraction vector m of a gas-oil mixture according the relationship S=Bm , wherein S
is a signal response vector at the two wavelengths, h is a response matrix formed from the response of gas at the two wavelengths and the response of oil at the two wavelengths;
and determines the gas-oil ratio from the mass fraction vector m.
A ninth aspect of the invention provides a method of analysing fluids from an underground formation using a spectrometer having a light source, a measurement cell and a detector, the method comprising: a) determining a temperature dependency curve for source data made from measurements made by the detector of light passing directly from the source; b) determining a temperature dependency curve for measure data made from measurements made by the detector of light passing through the measurement cell; c) 4a measuring the response of the detector to light passing through the measurement cell when filled with fluid; and d) analysing the fluid based on the measured response and the determined temperature dependency curves.
A tenth aspect of the invention provides a method of analysing fluids from an underground formation using a spectrometer having a light source, a flow line including a measurement cell and a detector, the method comprising: a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of gas in the flow line.
An eleventh aspect of the invention provides a method of analysing fluids from an underground formation using a spectrometer having a light source, a flow line including a measurement cell and a detector, the method comprising: a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of contaminants in the fluid in the flow line.
A twelfth aspect of the invention provides apparatus for analysing fluids from a formation surrounding a borehole, comprising: a) a tool body for location in the borehole; b) means for establishing fluid communication with the formation; c) a flow line in the tool body for flowing fluid samples from the formation; d) means for sampling fluid; and e) first and second optical analysis modules located in the tool body between the means for establishing fluid communication with the formation and the means for 4b = 77675-9 sampling fluid, each module capable of making optical measurements on the fluids in the flow line.
Brief Description of the Drawings Figure 1 shows a prior art tool including a fluid analysis module;
Figure 2 shows a gas detector cell for use in a tool according to the invention;
Figure 3 shows a spectroscopy cell for use in a tool according to the invention;
Figure 4 shows a top view of the gas and spectroscopy cells for use in an embodiment of the invention;
Figure 5 shows a side view of the gas and spectroscopy cells for use in an embodiment of the invention;
Figure 6 shows detail of the gas cell window and prism;
Figure 7 shows a side view of the gas and spectroscopy cells with parts omitted for clarity;
Figure 8 shows a gas cell cross section on line BB
of Figure 7;
Figure 9 shows a spectrometer cell cross section on line AA of Figure 7;
Figure 10 shows a diagrammatic view of a spectrometer module;
Figure 11 shows plot of temperature compensation data;
4c Figure 12 shows an embodiment of a tool according to an aspect of the invention with two spectroscopy modules;
Figure 13 shows a section of log against time for a sample including gas;
Figure 14 shows an experimental setup for determining GOR;
Figure 15 shows a plot of integrated average spectrometer OD values for various spectral windows as a function of methane mass density;
Figure 16 shows a plot of integrated average spectrometer OD values for various spectral windows as a function of n-heptane mass density;
Figure 17 shows values of GOR predicted according to an aspect of the invention vs. actual values measured for binary mixtures;
Figure 18 shows the corresponding plot with live crude samples and theoretical an binary mixture figures adjusted by a constant; and Figures 19 and 20 show plots of various spectrometer channels vs. time for scattering correction.
Description of the Preferred Embodiment The present invention finds its application in tools such as the MDT which is described above in relation to Figure 1 and in US 4,860,581. Aspects of the MDT tool that are not considered relevant to the present invention nor contributing to its function will not be described below.
In particular, the present invention finds, its application in an OFA module of the MDT tool as described above and in US 4,994,671. As with the previous embodiment, a fluid analysis module incorporating the present invention includes a gas detector cell which operates generally as described in US 5,167,149 and US 5,201,220, and a spectroscopy module which operated generally as described in the '671 patent referenced above. The construction and operation of the gas detector cell and spectroscopy module in accordance with the invention will be described in more detail below.
The structure of the gas detector cell is shown in more detail in Figure 2.
The cell is formed in a flow line 100 of the MDT which receives fluids from the formation. An opening 102 is provided in the flow line 100 to receive a window, prism and flange structure. A flow channel 104 is provided in the flow line 100 and a sapphire window 106 is mounted in the opening 102 over the channel 104. A sapphire prism 108 is fixed so as to be in optical contact with the surface of the window 106 on the opposite side from the flow channel 104. The window 106 and prism 108 are secured in the opening 102 by means of a stainless steel flange 109 which is screwed onto the flow line 100 and holds the window 106 in place against the pressure of fluids in the flow line 100. Effective sealing is ensured by the use of a teflon window support 110 between the window 106 and the flow channel 104, and by the use of o-rings 112 around the window 106 in the opening 102. The flange is also provided with optical connectors (not shown in Figure 2) which optically connect to the upper surface of the prism 108. The upper and lower surfaces of the window 106 and prism 108 are polished to optical quality, the side surfaces of the window 106 are polished to assist sealing.
The spectroscopy cell is shown in general detail in Figure 3. The cell is located in the same flow line 100 as the gas detector cell described above. In this case opposed openings 120, 122 are provided in the flow line 100, each of which receive input and output window and flange structures respectively. Structurally, the input and output sides of the cell are the same so only the input side will be described in detail. A monel flow channel 124 is located in the flow line 100 between the openings 120, 122 and defines window-locating seats. Sapphire windows 126 are located in the seats facing each other across the flow channel 124. The windows 126 are secured in place by stainless steel flanges 128 which are provided with optical connectors to connect the outer faces of the windows 126 with fibre bundles 130. The flanges are screwed to each other so as to seal the windows into the seats. Sealing is assisted by the use of back up rings and o-rings 132. Inner and outer faces of the windows 126 are polished to optical quality, side faces are polished to assist sealing.
The gas detector cell 140 and spectroscopy cell 145 are conveniently provided in a single structure in the flow line which is shown in more detail in Figures 4 to 9 with some parts, omitted for clarity.
The spectrometer cell described above forms part of a spectrometer module, the basic structure of which is shown in Figure 10. The spectrometer comprises a halogen lamp, broad spectrum light source 150 which passes light through a chopper wheel 152 (driven by a chopper motor 154) into an optical fibre bundle 156. Outputs are taken from the bundle 156 to provide input to a motor synchronisation photodiode 158, a source light input 159 to a light distributor 160 (forming part of the detector described in more detail below) and to a measure path 162 which provides input to the spectrometer cell 145. A calibration wheel 164 driven by a rotary solenoid switch 166 selects whether light passes into the source light input path 159, the measure path 162, or both. The input fibre bundle 168 connects to the input flange 170 of the cell and optically connects to the sapphire window 172. Light is transmitted from the window 172, across the flow path 174 through another sapphire window 172 and into an output fibre bundle 176 connected to the output flange 178. The output bundle also connects to the light distributor 160. The light distributor 160 distributes the light received from the source light input 159 and the output fibre bundle 176 to a number of different channels. For the purposes of this example, only four channels are shown but other numbers are practically useful. One particularly preferred example has eleven channels. Each channel comprises lens 180 and bandpass filter 182 arrangement feeding to a photodiode 184. The filters are chosen to select predetermined wavelengths of light for the channels in the range from visible to near infrared. Each channel provides an output signal relative to the wavelength in question.
The spectroscopy module has four modes, Sleep, Dark, Source, and Measure. When the module is in Sleep mode, the electric power is on but lamp 150 and chopper motor 154 are both off. The module detects nothing. When in Dark mode, lamp 150 and motor 154 are both on but the solenoid switch 166 blocks both source and measure paths 159, 162. No light is detected and the module measures background level. In Source mode, the solenoid switch 166 opens the source path 159 but the measure path 162 is still blocked. The light from lamp 159 can pass through the source path 159 and detected as a reference spectrum. When the module is in Measure mode, the solenoid switch 166 opens the measure path 162 and source path 159 is blocked.
The light from the halogen lamp 159 goes into input fiber bundle 168 and passes through the fluid in the flowline 174 via the sapphire windows 172 and passes into the output fiber bundle 176 and from there to the distributor 160 and detected as the fluid spectrum data.
When used to determine GOR, it is necessary that the module has a channel that is sensitive to the methane peak in the measured spectrum. This peak occurs at 1671m with a shoulder at 1650nm. Two approaches for detecting this peak are proposed. In the first a narrow band filter is used to detect only the 167 mm peak. A suitable filter would have 167 mm centre wavelength (CW) and 15nm full width half maximum (FWHM). In the second approach, the channel detects both the peak and the shoulder. In this case, a 1657.5nm CW and 35nm FWHM
filter can be used. The different filters give different responses for signal level and background level and so the choice of which is most appropriate will be made on a case by case basis.
If desired, both wide and narrow band methane channels can be provided although this will be at the expense of the number of channels available for other wavelength measurements.
As the GOR measurement is absolute measurement, the measurement accuracy of the spectrum is very important. In order to keep the measurement accuracy over the temperature range from 25 to 175 C, a temperature compensation system is introduced. First measure mode data Wcat(TYMca/(To), = in Figure 11) and source mode data (Sca/(TYScar(To), = in Figure 11) are acquired at several temperature from 25 C to 175 C. All data are normalised relative to the room temperature (25 C) data.
Fitting curves for measure data (f. (7)) and source data (g (7)) as a function of temperature are created using least square method for these data.
Actual measurement data from the spectrometer module in use are compensated with these .11/(T)/ M(T M(T)71(r(T ) s(T)IS(T) S(T)/S(710) g(T) OD = -log M(T) = S(To ) = g(T) M(To) = S(T) = (T) fitting curves in the following manner:
As well as providing information about the composition of the fluids, the spectroscopy module can be used to give information about the flow rate of fluids in the tool.
Figure 12 shows one tool configuration which has two spectroscopy modules connected in series with a common flow line.
By correlating the outputs of the two modules over time, the flow rate of fluid in the flow line can be determined and the appropriate sampling time derived. The tool configuration shown in Figure 12 comprises a tool body 200 having a packer module 202 at its lower end and a flow line 204 running along its length to a pumpout module 206 located near its upper end. Above the packer module 202 -is a probe module 208 which allows fluid communication between the formation and the flow line 204. Two spectroscopy modules 210, 212 are located above the probe module 208, connected in series to the flow line 204. Each spectroscopy module is substantially as described above in relation to Figure 10. Above the spectroscopy modules 210, 212, is a series of sample chambers 214 connected to the flow line 204 for receiving samples of formation fluid. In the tool of Figure 12, this time can be the time at which fluid is admitted to on or other of the sample chambers and can be selected to ensure minimum contamination by drilling fluid or filtrate.
The various embodiments of the apparatus described above can be used to make a number of measurements which can be used to provide information about the formation fluids. For example, OD-based measurements distinguishing between crudes and filtrate determination (as described in US 5,266,800), or oil/water phase analysis (as described in US
5,331,156) can be performed with this apparatus.
Gas detection can be performed in the manner described in US 5,201,220.
However, an alternative method is possible using the methane detection channel output Since this channel measures the methane absorption spectrum, measurement of GOR (see below for further details) can be used for the Gas Detector). Fig. 13 shows the log example in which gas is present in oil-based mud (OBM). The log shows the oil/water fraction track A
shows the presence of gas in region x and y which is confirmed by the gas detector track Z which is based on the method described in the '220 patent referenced above. The GOR
values are shown as tracks a and b (corresponding to the narrow and wide band filters for the methane channel described above), the increase in GOR at points c and d corresponding to the white area change in oil/water fraction track at points x and y. GOR values show very good agreement with white part of the oil/water fraction track and with the gas detector track e.
Since the gas detector detects gas near the detector window, small gas bubbles inside the flowline might not be detected and when the window surface is covered the mud or dark oil, the gas detector often does not work. In both cases, GOR measurements can be made and consequently gas detected.
Since the gas being detected is methane, and the apparatus has at least one channel responsive to the methane absorption peak, it is possible to use the output of this channel directly as a gas detection indicator. It is not necessary to determine GOR first.
The method of determining GOR is developed on the basis of experimental NIR
measurements on prepared binary mixtures of methane and heptane, and-live crudes obtained in the field. NIR
= =
Gas detection can be performed in the manner described in US 5,201,220.
However, an alternative method is possible using the methane detection channel output Since this channel measures the methane absorption spectrum, measurement of GOR (see below for further details) can be used for the Gas Detector). Fig. 13 shows the log example in which gas is present in oil-based mud (OBM). The log shows the oil/water fraction track A
shows the presence of gas in region x and y which is confirmed by the gas detector track Z which is based on the method described in the '220 patent referenced above. The GOR
values are shown as tracks a and b (corresponding to the narrow and wide band filters for the methane channel described above), the increase in GOR at points c and d corresponding to the white area change in oil/water fraction track at points x and y. GOR values show very good agreement with white part of the oil/water fraction track and with the gas detector track e.
Since the gas detector detects gas near the detector window, small gas bubbles inside the flowline might not be detected and when the window surface is covered the mud or dark oil, the gas detector often does not work. In both cases, GOR measurements can be made and consequently gas detected.
Since the gas being detected is methane, and the apparatus has at least one channel responsive to the methane absorption peak, it is possible to use the output of this channel directly as a gas detection indicator. It is not necessary to determine GOR first.
The method of determining GOR is developed on the basis of experimental NIR
measurements on prepared binary mixtures of methane and heptane, and-live crudes obtained in the field. NIR
= =
spectra were acquired with a Cary 5 UV-Visible-NIR Spectrometer. The spectrometer optical beam is interfaced with a high pressure, high temperature (HPHT) spectroscopy cell fitted with sapphire windows substantially as described above. The internal pathlength in the cell is 2mm.
The attenuation incurred by use of the interface optics and cell was approximately 1.5 OD units.
The rear beam attenuator was employed in the Cary at a level of OD=-1.2 extending the limit of measurable OD.
Figure 14 shows a schematic of the apparatus used to obtain the data. The flowline of the measurement cell 300 is connected via high pressure transfer lines 302 to the conventional sample bottle (CSB). The CSB which can hold 20,000 psi under controlled conditions, has an internal sample volume 304 separated from the hydraulic fluid volume 306 by a floating piston 308. The CSB's contain an internal agitation ring (not shown) allowing for effective sample mixing when the bottle is rocked. The far end of the sample flowline 310 is fitted with a valve 312 allowing for fluid transfer with bleeding under high pressure conditions to purge any sample flashed during transfer due to the cell dead volume. The CSB hydraulic side is connected to a high pressure pump 315 and a pressure gauge 316 to control the pressure. The sample cell 300 is situated inside an oven 318 for temperature control.
Mixtures of methane and heptane are and transferred to a CSB. The samples are recombined into a single phase by pressurizing ¨2000 psi above the bubble point with agitation. After recombination, the sample is transferred to the measurement cell at high pressure.
Approximately 10 times the dead volume is bled off to prevent flashed sample discrepancies.
Multiple runs can be performed which verify consistency. The gas-liquid ratio of the sample was evaluated to check sample composition.
Live crude oils are obtained and transferred to CSB's. The samples are then transferred to the HPHT cell at bottom hole temperature and pressure. After heating and pressurizing the sample, it is agitated for a period of 15 to 30 minutes until the pressure is unchanged upon further agitation.
Heating prevents waxes from phase separating, while pressure is required to avoid any separate gas phase. If the sample in the CSB becomes two phase during transfer, then sample transfer results in a nonrepresentative sample being removed from the sample bottle, invalidating both the removed and remaining samples. GOR of these live crude oils are determined by a commercial service in the conventional manner for confirmation.
For most crude oils, the primary gaseous component for gases at one atmosphere is methane. At high pressure, the gas phase (the lower density of the two fluid phases) can contain a much larger fraction of heavier hydrocarbons than gases at one atmosphere. Except for unusual gas phase which contains very high concentrations of H2S (or CO2), there is a monotonic relationship between dissolved methane and GOR. At the lower GOR' s listed the relationship is linear. The present method attempts to provide GOR from methane (or from the alkane fraction), but not from H2S or CO2. By measuring the dissolved methane mass fraction of crude oil, it is possible to determine the hydrocarbon component of GOR. Since this component normally dominates GOR, then for normal circumstances, GOR is determined.
The basic analysis of GOR is based on equations relating the GOR of prepared binary mixtures of n-heptane (representing oil) and methane to the NlR spectra. As crude oils can be related to these binary mixtures, the resulting equations can be used for crude oil GOR
determination as well.
The method of determining GOR employs the concept of placing an MR channel on the methane peak at -1670 nm and a second NlR channel at ¨1725 nm (-CH2- and -CH3). A
response matrix b is formed with the first column the response of methane in these two channels and the second column the oil response in these two channels.
The signal response in the two NIR channels (S vector) and the mass fraction vector of a binary methane-heptane mixture (in vector) giving S as the signal vector are related to b according to equation 1:
= 1 Solving equation 1 using Cramer's rule:
, mi = ¨ 2 and m2 = ¨D2 where D is the determinant of E, DI is the determinant obtain from the matrix with replacing the first column of fl , and D2 is obtained by replacing (only) the second column of h in the usual manner.
For a binary methane-n-heptane mixture, mass fraction in can be used to obtain the corresponding GOR. It is presumed that the gas phase contains all of the methane (m1) plus = heptane vapor at its equilibrium vapor pressure.
The GOR of the mixture is given by:
GOR= 5945 ml (scf 1 bbl) 4 m2 ¨ 0.257nz1 When the mass fraction of heptane drops to a value where it is just able to provide its equilibrium vapor pressure, but yields no liquid, the GOR is infinite. Eq. 4 does not apply to smaller heptane mass fractions than this.
Using spectrometer data obtained with the experimental apparatus described above, the f3 matrix elements are generated by obtaining the slopes of the integrated and average spectrometer OD values (<0D>) curves over specified wavelength windows for methane and for heptane.
Figures 15 and 16 show the resulting data used to generate the h matrix which corresponds to spectrometer data for methane and heptane. This h matrix is dependent on specifics of the optical system so must be determined for each new optical spectrometer.
For the integration <1640-1675>, the h matrix is obtained from values listed figures 15 and 16.
= 71.657 0.090 0.882 1.614/
For the integration <1660-1675>, the matrix is obtained from values listed figures 15 and 16.
B(1.838 0.123 =
0.882 1.614) Using Eq. 4, it is possible to calculate the theoretical dependence of the NW
signal on GOR.
This is plotted in Figure 17 for the integration <1640-1675> along with the values measured for the binary mixtures with excellent agreement over a broad range of GOR' s in spite of no adjustable parameters. The values shown in the ñ matrices discussed above are dependent upon the particular optical system used and can be individually adjusted to accommodate an improved understanding of gas-oil mixtures if required.
Figure 18 shows the ratio of peak areas for a series of live crude oils and for four binary mixtures. The OD ratio for the binary mixtures was reduced by a factor of 0.85 (described below). The line in Figure 18 corresponds to the predictions of Eq. 4 (also reduced in the ordinate by a factor of 0.85). Monotonic behavior is seen for this diverse collection of live crude oils over a broad range of GOR' s. Similarly, the binary mixtures also exhibit the same monotonic behavior, again over a very large range of GOR. The trends for both sets of samples live crude oils and binary mixtures are predicted by Eq. 4, but for the live crude oils the modification by a factor of 0.85 must be included. Thus, with minor modification, Eq. 4 can be used to analyze the spectrum of a single phase live crude oil to predict its GOR.
By far, the biggest source of the nonunity term (0.85) is the difference in gas composition between the binary mixtures and the live crude oils. This factor of 0.85 accounts for the fact that the gas phase of live crude oils is frequently around 80 mole% methane while for the binary mixtures, the gas phase is about 96 mole% methane. The extent to which the gas fraction of a live crude oil deviates from 80 mole% is the error incurred predicting the GOR. In particular, if the gas phase of a live crude oil contains significant quantities of H2S or CO2 then Eq. 4 would = 7-7675-9 not provide the GOR of the crude oil, but rather, would provide the GOR due to hydrocarbons.
Other techniques can be used to detect H2S and CO2.
There can also be differences in the magnitude of the peak at 1725 nm for different dead oils.
This peak which includes contributions from both the -CH2- and -CH3 groups can vary depending on components such as waxes or aromatics. However, detection and quantification of crude oil by analysis of this peak indicates that the variation is not so large, perhaps 10% and converts into an error bar on the corresponding GOR measurement, Error bars can be reduced for application where dead crude oil characteristics are known.
The apparatus described above can be used to determine the level of contamination in a sample of formation fluid in the flow line and so allow determination of an appropriate time for sampling to avoid interference from contaminants. Examples of methods for this determination can be found in USSN 09/255,999 and USSN 09/300,190.
The methodology applied to the colour measurement for contamination determination can be applied to measurements made by the methane channel of the spectrometer. When making contamination determination based on colour, the output of the colour channel selected is corrected for wavelength independent scattering by subtracting the output of a reference channel.
Figures 19 shows plots of outputs from pairs of channels, together with fitting curves and the appropriate fitting curve formula Figure 20 shows an expanded view of part of Figure 19 for the GOR-dependent curves. In Figures 19 and 20, plots for colour (Channel 4 -Channel 7) and reference (oil) (Channel 8 - Channel 7) are shown. The colour output includes contribution from colour and scattering, whereas the reference shows only scattering. Thus correcting the colour output with the reference gives only colour together with some wavelength dependent scattering, the wavelength independent scattering being removed by subtraction. Since the colour and reference measurements are not the same wavelength, wavelength dependent scattering will not be removed by this method.
=
For colour measurements, it is necessary to use a reference channel that is hundreds of nm away to remove scattering in the manner described above. For example, in the case shown in Figure 19, CM and Ch7 are 530nm apart (1070 nm and 1600nm). The same general approach can be used for the methane channel (Ch0 in Figures 19 and 20). In this case, however, the reference channel (again Ch7) is close to the measurement channel (Ch0) giving a difference in wavelength of only 70nm in the case of the present example (1670nm ¨ 1600 nm).
Consequently, this approach will also remove wavelength dependent scattering.
Also, since wavelength dependent scattering cross section decreases with increasing wavelength, the use of the longer wavelength NIR methane channel (1670nm) rather than the shorter wavelength colour channel (1070nm) reduces wavelength dependent scattering. By applying this method, the wavelength dependent scattering seen at X in Figure 19 in the colour channel is avoided and the level of contamination in the flow line can be estimated more reliably leading to better sample time determination.
As is described above in relation to Figure 12 embodiments of the spectroscopy tool can also make flow rate measurements. Prior versions of the MDT tool calculate the flow rate in the flow line from the pump displacement and the number of pump strokes to give the pumped volume which is converted to flow rate by relation to time. However, this calculation is not always correct and a more accurate flow measurement is sometimes required. Where two spectroscopy modules are provided as shown in Figure 12 flow rate can be calculated by cross correlating features in the same spectroscopy channel output in each module against time.
From a knowledge of the flow line volume and the time of the peak in the correlation function, the flow rate can be determined. The accurate flow rate is required because it is necessary to calculate when to take a sample from the flow line since the sampling point is not the same as the measurement point.
The attenuation incurred by use of the interface optics and cell was approximately 1.5 OD units.
The rear beam attenuator was employed in the Cary at a level of OD=-1.2 extending the limit of measurable OD.
Figure 14 shows a schematic of the apparatus used to obtain the data. The flowline of the measurement cell 300 is connected via high pressure transfer lines 302 to the conventional sample bottle (CSB). The CSB which can hold 20,000 psi under controlled conditions, has an internal sample volume 304 separated from the hydraulic fluid volume 306 by a floating piston 308. The CSB's contain an internal agitation ring (not shown) allowing for effective sample mixing when the bottle is rocked. The far end of the sample flowline 310 is fitted with a valve 312 allowing for fluid transfer with bleeding under high pressure conditions to purge any sample flashed during transfer due to the cell dead volume. The CSB hydraulic side is connected to a high pressure pump 315 and a pressure gauge 316 to control the pressure. The sample cell 300 is situated inside an oven 318 for temperature control.
Mixtures of methane and heptane are and transferred to a CSB. The samples are recombined into a single phase by pressurizing ¨2000 psi above the bubble point with agitation. After recombination, the sample is transferred to the measurement cell at high pressure.
Approximately 10 times the dead volume is bled off to prevent flashed sample discrepancies.
Multiple runs can be performed which verify consistency. The gas-liquid ratio of the sample was evaluated to check sample composition.
Live crude oils are obtained and transferred to CSB's. The samples are then transferred to the HPHT cell at bottom hole temperature and pressure. After heating and pressurizing the sample, it is agitated for a period of 15 to 30 minutes until the pressure is unchanged upon further agitation.
Heating prevents waxes from phase separating, while pressure is required to avoid any separate gas phase. If the sample in the CSB becomes two phase during transfer, then sample transfer results in a nonrepresentative sample being removed from the sample bottle, invalidating both the removed and remaining samples. GOR of these live crude oils are determined by a commercial service in the conventional manner for confirmation.
For most crude oils, the primary gaseous component for gases at one atmosphere is methane. At high pressure, the gas phase (the lower density of the two fluid phases) can contain a much larger fraction of heavier hydrocarbons than gases at one atmosphere. Except for unusual gas phase which contains very high concentrations of H2S (or CO2), there is a monotonic relationship between dissolved methane and GOR. At the lower GOR' s listed the relationship is linear. The present method attempts to provide GOR from methane (or from the alkane fraction), but not from H2S or CO2. By measuring the dissolved methane mass fraction of crude oil, it is possible to determine the hydrocarbon component of GOR. Since this component normally dominates GOR, then for normal circumstances, GOR is determined.
The basic analysis of GOR is based on equations relating the GOR of prepared binary mixtures of n-heptane (representing oil) and methane to the NlR spectra. As crude oils can be related to these binary mixtures, the resulting equations can be used for crude oil GOR
determination as well.
The method of determining GOR employs the concept of placing an MR channel on the methane peak at -1670 nm and a second NlR channel at ¨1725 nm (-CH2- and -CH3). A
response matrix b is formed with the first column the response of methane in these two channels and the second column the oil response in these two channels.
The signal response in the two NIR channels (S vector) and the mass fraction vector of a binary methane-heptane mixture (in vector) giving S as the signal vector are related to b according to equation 1:
= 1 Solving equation 1 using Cramer's rule:
, mi = ¨ 2 and m2 = ¨D2 where D is the determinant of E, DI is the determinant obtain from the matrix with replacing the first column of fl , and D2 is obtained by replacing (only) the second column of h in the usual manner.
For a binary methane-n-heptane mixture, mass fraction in can be used to obtain the corresponding GOR. It is presumed that the gas phase contains all of the methane (m1) plus = heptane vapor at its equilibrium vapor pressure.
The GOR of the mixture is given by:
GOR= 5945 ml (scf 1 bbl) 4 m2 ¨ 0.257nz1 When the mass fraction of heptane drops to a value where it is just able to provide its equilibrium vapor pressure, but yields no liquid, the GOR is infinite. Eq. 4 does not apply to smaller heptane mass fractions than this.
Using spectrometer data obtained with the experimental apparatus described above, the f3 matrix elements are generated by obtaining the slopes of the integrated and average spectrometer OD values (<0D>) curves over specified wavelength windows for methane and for heptane.
Figures 15 and 16 show the resulting data used to generate the h matrix which corresponds to spectrometer data for methane and heptane. This h matrix is dependent on specifics of the optical system so must be determined for each new optical spectrometer.
For the integration <1640-1675>, the h matrix is obtained from values listed figures 15 and 16.
= 71.657 0.090 0.882 1.614/
For the integration <1660-1675>, the matrix is obtained from values listed figures 15 and 16.
B(1.838 0.123 =
0.882 1.614) Using Eq. 4, it is possible to calculate the theoretical dependence of the NW
signal on GOR.
This is plotted in Figure 17 for the integration <1640-1675> along with the values measured for the binary mixtures with excellent agreement over a broad range of GOR' s in spite of no adjustable parameters. The values shown in the ñ matrices discussed above are dependent upon the particular optical system used and can be individually adjusted to accommodate an improved understanding of gas-oil mixtures if required.
Figure 18 shows the ratio of peak areas for a series of live crude oils and for four binary mixtures. The OD ratio for the binary mixtures was reduced by a factor of 0.85 (described below). The line in Figure 18 corresponds to the predictions of Eq. 4 (also reduced in the ordinate by a factor of 0.85). Monotonic behavior is seen for this diverse collection of live crude oils over a broad range of GOR' s. Similarly, the binary mixtures also exhibit the same monotonic behavior, again over a very large range of GOR. The trends for both sets of samples live crude oils and binary mixtures are predicted by Eq. 4, but for the live crude oils the modification by a factor of 0.85 must be included. Thus, with minor modification, Eq. 4 can be used to analyze the spectrum of a single phase live crude oil to predict its GOR.
By far, the biggest source of the nonunity term (0.85) is the difference in gas composition between the binary mixtures and the live crude oils. This factor of 0.85 accounts for the fact that the gas phase of live crude oils is frequently around 80 mole% methane while for the binary mixtures, the gas phase is about 96 mole% methane. The extent to which the gas fraction of a live crude oil deviates from 80 mole% is the error incurred predicting the GOR. In particular, if the gas phase of a live crude oil contains significant quantities of H2S or CO2 then Eq. 4 would = 7-7675-9 not provide the GOR of the crude oil, but rather, would provide the GOR due to hydrocarbons.
Other techniques can be used to detect H2S and CO2.
There can also be differences in the magnitude of the peak at 1725 nm for different dead oils.
This peak which includes contributions from both the -CH2- and -CH3 groups can vary depending on components such as waxes or aromatics. However, detection and quantification of crude oil by analysis of this peak indicates that the variation is not so large, perhaps 10% and converts into an error bar on the corresponding GOR measurement, Error bars can be reduced for application where dead crude oil characteristics are known.
The apparatus described above can be used to determine the level of contamination in a sample of formation fluid in the flow line and so allow determination of an appropriate time for sampling to avoid interference from contaminants. Examples of methods for this determination can be found in USSN 09/255,999 and USSN 09/300,190.
The methodology applied to the colour measurement for contamination determination can be applied to measurements made by the methane channel of the spectrometer. When making contamination determination based on colour, the output of the colour channel selected is corrected for wavelength independent scattering by subtracting the output of a reference channel.
Figures 19 shows plots of outputs from pairs of channels, together with fitting curves and the appropriate fitting curve formula Figure 20 shows an expanded view of part of Figure 19 for the GOR-dependent curves. In Figures 19 and 20, plots for colour (Channel 4 -Channel 7) and reference (oil) (Channel 8 - Channel 7) are shown. The colour output includes contribution from colour and scattering, whereas the reference shows only scattering. Thus correcting the colour output with the reference gives only colour together with some wavelength dependent scattering, the wavelength independent scattering being removed by subtraction. Since the colour and reference measurements are not the same wavelength, wavelength dependent scattering will not be removed by this method.
=
For colour measurements, it is necessary to use a reference channel that is hundreds of nm away to remove scattering in the manner described above. For example, in the case shown in Figure 19, CM and Ch7 are 530nm apart (1070 nm and 1600nm). The same general approach can be used for the methane channel (Ch0 in Figures 19 and 20). In this case, however, the reference channel (again Ch7) is close to the measurement channel (Ch0) giving a difference in wavelength of only 70nm in the case of the present example (1670nm ¨ 1600 nm).
Consequently, this approach will also remove wavelength dependent scattering.
Also, since wavelength dependent scattering cross section decreases with increasing wavelength, the use of the longer wavelength NIR methane channel (1670nm) rather than the shorter wavelength colour channel (1070nm) reduces wavelength dependent scattering. By applying this method, the wavelength dependent scattering seen at X in Figure 19 in the colour channel is avoided and the level of contamination in the flow line can be estimated more reliably leading to better sample time determination.
As is described above in relation to Figure 12 embodiments of the spectroscopy tool can also make flow rate measurements. Prior versions of the MDT tool calculate the flow rate in the flow line from the pump displacement and the number of pump strokes to give the pumped volume which is converted to flow rate by relation to time. However, this calculation is not always correct and a more accurate flow measurement is sometimes required. Where two spectroscopy modules are provided as shown in Figure 12 flow rate can be calculated by cross correlating features in the same spectroscopy channel output in each module against time.
From a knowledge of the flow line volume and the time of the peak in the correlation function, the flow rate can be determined. The accurate flow rate is required because it is necessary to calculate when to take a sample from the flow line since the sampling point is not the same as the measurement point.
Claims (24)
1. A method of determining gas-oil ratio of a formation fluid comprising:
a) subjecting the fluid to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data;
b) determining a response matrix h from the response of gas at the two wavelengths and the response of oil at the two wavelengths;
c) determining a signal response vector Þ at the two wavelengths;
d) calculating a mass fraction vector in of a gas-oil mixture according to the relationship ; and e) determining the gas-oil ratio from the mass fraction vector.
a) subjecting the fluid to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data;
b) determining a response matrix h from the response of gas at the two wavelengths and the response of oil at the two wavelengths;
c) determining a signal response vector Þ at the two wavelengths;
d) calculating a mass fraction vector in of a gas-oil mixture according to the relationship ; and e) determining the gas-oil ratio from the mass fraction vector.
2.
comprises a first column comprising the spectroscopic response of gas at each of the A method as claimed in claim 1,wherein the response matrix ~
two wavelengths, and a second column comprising the spectroscopic response of oil at each of the two wavelengths.
comprises a first column comprising the spectroscopic response of gas at each of the A method as claimed in claim 1,wherein the response matrix ~
two wavelengths, and a second column comprising the spectroscopic response of oil at each of the two wavelengths.
3. A method as claimed in claim 2, further comprising solving the equation to derive mass fractions of gas m1 and oil m2 according to m1 =D1/D and m2=D2/D; wherein D is the determinant of ~ , D1 is the determinant obtained from the response matrix with the first column replaced by ~, and D2 is the determinant of the response matrix with the second column replaced by ~.
4. A method as claimed in claim 1, wherein the gas-oil ratio is determined according to the relationship GOR=c1(m1/(m2-c2m1)), wherein c1 and c2 are constants, m1 is the mass fraction of gas and m2 is the mass fraction of oil.
5. A method as claimed in claim 2, wherein the response matrix is derived from a series of measurements made on synthetic mixtures of gas and a hydrocarbon.
6. A method as claimed in claim 5, wherein a correction factor is applied to the response matrix so derived when applying it to measurements from real formation fluids.
7. A method as claimed in claim 1, wherein one of the wavelengths is approximately 1671nm and the other is approximately 1725nm.
8. A method as claimed in claim 1, wherein the spectroscopic analysis is performed in a predetermined spectroscopy apparatus, the method comprising determining a response matrix 1 for that predetermined spectroscopy apparatus.
9. A method as claimed in claim 2, wherein the elements of the matrix comprise the slopes of the integrated and average spectrometer OD values obtained over specified wavelength windows for gas and oil.
10. A method as claimed in claim 1, wherein the spectroscopic analysis of the fluid is performed in a tool located in a borehole and in communication with a formation from which the fluid id obtained.
11. Apparatus for determining gas-oil ratio of a fluid obtained from a formation surrounding a borehole comprising:
a) a tool body which can be located in the borehole and establish fluid communication with the formation so as to withdraw a sample of fluid therefrom;
b) a spectroscopy module located in the tool body for subjecting the fluid sample to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data;
c) means for determining the gas-oil ratio of the sample which calculates a mass fraction vector ~ of a gas-oil mixture according to the relationship , wherein ~ is a signal response vector at the two wavelengths, ~ is a response matrix formed from the response of gas at the two wavelengths and the response of oil at the two wavelengths; and determines the gas-oil ratio from the mass fraction vector m.
a) a tool body which can be located in the borehole and establish fluid communication with the formation so as to withdraw a sample of fluid therefrom;
b) a spectroscopy module located in the tool body for subjecting the fluid sample to spectroscopic analysis at at least two wavelengths, one of which is sensitive to the presence of gas and the other of which is sensitive to the presence of oil and generating response data;
c) means for determining the gas-oil ratio of the sample which calculates a mass fraction vector ~ of a gas-oil mixture according to the relationship , wherein ~ is a signal response vector at the two wavelengths, ~ is a response matrix formed from the response of gas at the two wavelengths and the response of oil at the two wavelengths; and determines the gas-oil ratio from the mass fraction vector m.
12. Apparatus as claimed in claim 11, wherein the spectroscopy module includes a broadband light source for illuminating the fluid sample and detectors which include bandpass filters with pass bands including one or other of the two wavelengths.
13. Apparatus as claimed in claim 12, wherein the pass band including the wavelength responsive to gas includes 1671nm, and the pass band including the wavelength responsive to oil includes 1725nm.
14. Apparatus as claimed in claim 13, wherein the pass band including 1671nm wavelength is defined by a filter having a pass band of about 1660nm to about 1675nm.
15. Apparatus as claimed in claim 13, wherein the pass band including 1671nm wavelength is defined by a filter having pass band of about 1640nm to about 1675nm.
16. Apparatus as claimed in claim 13, wherein the pass band including 1671nm wavelength also includes 1650nm.
17. Apparatus as claimed in claim 13, wherein the pass band including 1725nm wavelength is defined by a filter having a pass band of about 1715nm to about 1730nm.
18. A method of analysing fluids from an underground formation using a spectrometer having a light source, a measurement cell and a detector, the method comprising:
a) determining a temperature dependency curve for source data made from measurements made by the detector of light passing directly from the source;
b) determining a temperature dependency curve for measure data made from measurements made by the detector of light passing through the measurement cell;
c) measuring the response of the detector to light passing through the measurement cell when filled with fluid; and d) analysing the fluid based on the measured response and the determined temperature dependency curves.
a) determining a temperature dependency curve for source data made from measurements made by the detector of light passing directly from the source;
b) determining a temperature dependency curve for measure data made from measurements made by the detector of light passing through the measurement cell;
c) measuring the response of the detector to light passing through the measurement cell when filled with fluid; and d) analysing the fluid based on the measured response and the determined temperature dependency curves.
19. A method as claimed in claim 18, wherein the step of analysing the fluid comprises determining the optical density (OD) of the fluid according to the relationship:
OD = -log(M(T).S(T0).g(T))/(M(T0).S(T).f(T)) wherein M indicates measure data, S indicates source data, T indicates the temperature at which the measurements are made, T0 indicates a reference temperature, f(T) is the temperature correction function for measure data and g(T) is the temperature correction function for source data.
OD = -log(M(T).S(T0).g(T))/(M(T0).S(T).f(T)) wherein M indicates measure data, S indicates source data, T indicates the temperature at which the measurements are made, T0 indicates a reference temperature, f(T) is the temperature correction function for measure data and g(T) is the temperature correction function for source data.
20. A method of analysing fluids from an underground formation using a spectrometer having a light source, a flow line including a measurement cell and a detector, the method comprising:
a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of gas in the flow line.
a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of gas in the flow line.
21. A method of analysing fluids from an underground formation using a spectrometer having a light source, a flow line including a measurement cell and a detector, the method comprising:
a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of contaminants in the fluid in the flow line.
a) making spectroscopic measurements of fluids in the measurement cell at a wavelength responsive to the presence of methane; and b) using the measurements to indicate the presence of contaminants in the fluid in the flow line.
22. A method as claimed in claim 21, further comprising using the indication of the presence of contaminants in the flow line to determine a time to take a sample from the flow line for further analysis.
23. Apparatus for analysing fluids form a formation surrounding a borehole, comprising:
a) a tool body for location in the borehole;
b) means for establishing fluid communication with the formation;
c) a flow line in the tool body for flowing fluid samples from the formation;
d) means for sampling fluid; and e) first and second optical analysis modules in the tool body and connected by a flow line, each module capable of making optical measurements on the fluids in the flow line.
a) a tool body for location in the borehole;
b) means for establishing fluid communication with the formation;
c) a flow line in the tool body for flowing fluid samples from the formation;
d) means for sampling fluid; and e) first and second optical analysis modules in the tool body and connected by a flow line, each module capable of making optical measurements on the fluids in the flow line.
24. Apparatus as claimed in claim 23, wherein the optical analysis modules are spectroscopic analysis modules which can make measurements sensitive to the presence of gas in the formation fluid.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US09/686,646 | 2000-10-10 | ||
| US09/686,646 US6476384B1 (en) | 2000-10-10 | 2000-10-10 | Methods and apparatus for downhole fluids analysis |
| PCT/IB2001/001676 WO2002031476A2 (en) | 2000-10-10 | 2001-09-12 | Methods and apparatus for downhole fluids analysis |
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| Publication Number | Publication Date |
|---|---|
| CA2425423A1 CA2425423A1 (en) | 2002-04-18 |
| CA2425423C true CA2425423C (en) | 2013-07-02 |
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| CA2425423A Expired - Lifetime CA2425423C (en) | 2000-10-10 | 2001-09-12 | Methods and apparatus for downhole fluids analysis |
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| Country | Link |
|---|---|
| US (2) | US6476384B1 (en) |
| EP (1) | EP1325310B1 (en) |
| CN (1) | CN1283989C (en) |
| AT (1) | ATE401567T1 (en) |
| AU (2) | AU2001284361B2 (en) |
| CA (1) | CA2425423C (en) |
| DE (1) | DE60134871D1 (en) |
| EA (1) | EA005261B1 (en) |
| EG (1) | EG22741A (en) |
| MY (1) | MY127605A (en) |
| NO (1) | NO338559B1 (en) |
| NZ (1) | NZ525708A (en) |
| WO (1) | WO2002031476A2 (en) |
Families Citing this family (118)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6476384B1 (en) | 2000-10-10 | 2002-11-05 | Schlumberger Technology Corporation | Methods and apparatus for downhole fluids analysis |
| US6843118B2 (en) * | 2002-03-08 | 2005-01-18 | Halliburton Energy Services, Inc. | Formation tester pretest using pulsed flow rate control |
| US7084392B2 (en) * | 2002-06-04 | 2006-08-01 | Baker Hughes Incorporated | Method and apparatus for a downhole fluorescence spectrometer |
| US6798518B2 (en) * | 2002-06-04 | 2004-09-28 | Baker Hughes Incorporated | Method and apparatus for a derivative spectrometer |
| US7002142B2 (en) * | 2002-06-26 | 2006-02-21 | Schlumberger Technology Corporation | Determining dew precipitation and onset pressure in oilfield retrograde condensate |
| US8899323B2 (en) | 2002-06-28 | 2014-12-02 | Schlumberger Technology Corporation | Modular pumpouts and flowline architecture |
| US8555968B2 (en) | 2002-06-28 | 2013-10-15 | Schlumberger Technology Corporation | Formation evaluation system and method |
| US8210260B2 (en) | 2002-06-28 | 2012-07-03 | Schlumberger Technology Corporation | Single pump focused sampling |
| US7178591B2 (en) | 2004-08-31 | 2007-02-20 | Schlumberger Technology Corporation | Apparatus and method for formation evaluation |
| RU2315180C2 (en) * | 2002-08-21 | 2008-01-20 | Шелл Интернэшнл Рисерч Маатсхаппий Б.В. | Method for fluid chemistry determination during well drilling and fluid production |
| EP1554659A4 (en) * | 2002-10-25 | 2009-07-22 | Bettina Experton | System and method for automatically launching and accessing network addresses and applications |
| GB2395555B (en) * | 2002-11-22 | 2005-10-12 | Schlumberger Holdings | Apparatus and method of analysing downhole water chemistry |
| BRPI0408374A (en) | 2003-03-14 | 2006-03-21 | Baker Hughes Inc | method and probe for hole bottom methane quantification using near infrared spectroscopy |
| US7173239B2 (en) * | 2003-03-14 | 2007-02-06 | Baker Hughes Incorporated | Method and apparatus for downhole quantification of methane using near infrared spectroscopy |
| US6956204B2 (en) * | 2003-03-27 | 2005-10-18 | Schlumberger Technology Corporation | Determining fluid properties from fluid analyzer |
| WO2004104554A2 (en) * | 2003-05-20 | 2004-12-02 | Technology Innovations, Llc | Organic analysis module |
| RU2352776C2 (en) * | 2003-05-21 | 2009-04-20 | Бейкер Хьюз Инкорпорейтед | Method and device for determination of optimal rate of fluid withdrawal on base of pressure determined in well at beginning of condensation |
| US6992768B2 (en) * | 2003-05-22 | 2006-01-31 | Schlumberger Technology Corporation | Optical fluid analysis signal refinement |
| US7111682B2 (en) * | 2003-07-21 | 2006-09-26 | Mark Kevin Blaisdell | Method and apparatus for gas displacement well systems |
| WO2005062986A2 (en) | 2003-12-31 | 2005-07-14 | The University Of South Carolina | Thin-layer porous optical sensors for gases and other fluids |
| MY140024A (en) * | 2004-03-01 | 2009-11-30 | Halliburton Energy Serv Inc | Methods for measuring a formation supercharge pressure |
| BRPI0511293A (en) * | 2004-05-21 | 2007-12-04 | Halliburton Energy Serv Inc | method for measuring a formation property |
| US7260985B2 (en) * | 2004-05-21 | 2007-08-28 | Halliburton Energy Services, Inc | Formation tester tool assembly and methods of use |
| US7216533B2 (en) * | 2004-05-21 | 2007-05-15 | Halliburton Energy Services, Inc. | Methods for using a formation tester |
| GB2433952B (en) * | 2004-05-21 | 2009-09-30 | Halliburton Energy Serv Inc | Methods and apparatus for using formation property data |
| US7603897B2 (en) * | 2004-05-21 | 2009-10-20 | Halliburton Energy Services, Inc. | Downhole probe assembly |
| US20070201136A1 (en) | 2004-09-13 | 2007-08-30 | University Of South Carolina | Thin Film Interference Filter and Bootstrap Method for Interference Filter Thin Film Deposition Process Control |
| WO2006063094A1 (en) | 2004-12-09 | 2006-06-15 | Caleb Brett Usa Inc. | In situ optical computation fluid analysis system and method |
| US7305306B2 (en) * | 2005-01-11 | 2007-12-04 | Schlumberger Technology Corporation | System and methods of deriving fluid properties of downhole fluids and uncertainty thereof |
| CN1896458B (en) * | 2005-01-11 | 2012-09-05 | 施蓝姆伯格海外股份有限公司 | System and methods of deriving fluid properties of downhole fluids and uncertainty thereof |
| US7398159B2 (en) | 2005-01-11 | 2008-07-08 | Schlumberger Technology Corporation | System and methods of deriving differential fluid properties of downhole fluids |
| US8023690B2 (en) * | 2005-02-04 | 2011-09-20 | Baker Hughes Incorporated | Apparatus and method for imaging fluids downhole |
| US7423258B2 (en) * | 2005-02-04 | 2008-09-09 | Baker Hughes Incorporated | Method and apparatus for analyzing a downhole fluid using a thermal detector |
| US7233001B2 (en) * | 2005-02-24 | 2007-06-19 | Weatherford/Lamb, Inc. | Multi-channel infrared optical phase fraction meter |
| US7834312B2 (en) | 2005-02-24 | 2010-11-16 | Weatherford/Lamb, Inc. | Water detection and 3-phase fraction measurement systems |
| US7458252B2 (en) * | 2005-04-29 | 2008-12-02 | Schlumberger Technology Corporation | Fluid analysis method and apparatus |
| US7461547B2 (en) * | 2005-04-29 | 2008-12-09 | Schlumberger Technology Corporation | Methods and apparatus of downhole fluid analysis |
| US7279678B2 (en) * | 2005-08-15 | 2007-10-09 | Schlumber Technology Corporation | Method and apparatus for composition analysis in a logging environment |
| US7609380B2 (en) * | 2005-11-14 | 2009-10-27 | Schlumberger Technology Corporation | Real-time calibration for downhole spectrometer |
| US20070108378A1 (en) * | 2005-11-14 | 2007-05-17 | Toru Terabayashi | High pressure optical cell for a downhole optical fluid analyzer |
| US20070166245A1 (en) | 2005-11-28 | 2007-07-19 | Leonard Mackles | Propellant free foamable toothpaste composition |
| WO2007064575A1 (en) | 2005-11-28 | 2007-06-07 | Ometric Corporation | Optical analysis system and method for real time multivariate optical computing |
| US8358418B2 (en) | 2005-11-28 | 2013-01-22 | Halliburton Energy Services, Inc. | Optical analysis system for dynamic real-time detection and measurement |
| US8345234B2 (en) | 2005-11-28 | 2013-01-01 | Halliburton Energy Services, Inc. | Self calibration methods for optical analysis system |
| US7458258B2 (en) * | 2005-12-16 | 2008-12-02 | Schlumberger Technology Corporation | Methods and apparatus for oil composition determination |
| US7458257B2 (en) * | 2005-12-19 | 2008-12-02 | Schlumberger Technology Corporation | Downhole measurement of formation characteristics while drilling |
| US7379180B2 (en) * | 2006-01-26 | 2008-05-27 | Schlumberger Technology Corporation | Method and apparatus for downhole spectral analysis of fluids |
| US7336356B2 (en) * | 2006-01-26 | 2008-02-26 | Schlumberger Technology Corporation | Method and apparatus for downhole spectral analysis of fluids |
| US7511813B2 (en) * | 2006-01-26 | 2009-03-31 | Schlumberger Technology Corporation | Downhole spectral analysis tool |
| US7508506B2 (en) * | 2006-04-04 | 2009-03-24 | Custom Sensors And Technology | Method and apparatus for performing spectroscopy downhole within a wellbore |
| US7440098B2 (en) * | 2006-04-04 | 2008-10-21 | Custom Sensors And Technology | Spectroscope and method of performing spectroscopy utilizing a micro mirror array |
| EP2033196A2 (en) | 2006-06-26 | 2009-03-11 | University of South Carolina | Data validation and classification in optical analysis systems |
| US20080065362A1 (en) * | 2006-09-08 | 2008-03-13 | Lee Jim H | Well completion modeling and management of well completion |
| EP2469251B1 (en) * | 2006-10-02 | 2016-03-30 | Precision Energy Services, Inc. | Method and apparatus for performing spectroscopy downhole within a wellbore |
| WO2008057912A2 (en) | 2006-11-02 | 2008-05-15 | University Of South Carolina | Multi-analyte optical computing system |
| US7482811B2 (en) * | 2006-11-10 | 2009-01-27 | Schlumberger Technology Corporation | Magneto-optical method and apparatus for determining properties of reservoir fluids |
| US20080111064A1 (en) * | 2006-11-10 | 2008-05-15 | Schlumberger Technology Corporation | Downhole measurement of substances in earth formations |
| US7711488B2 (en) * | 2006-12-28 | 2010-05-04 | Schlumberger Technology Corporation | Methods and apparatus to monitor contamination levels in a formation fluid |
| US7687769B2 (en) * | 2007-01-19 | 2010-03-30 | Schlumberger Technology Corporation | Methods and apparatus for multi dimension fluorescence spectrum measurement and correlations downhole |
| US7687770B2 (en) * | 2007-01-19 | 2010-03-30 | Schlumberger Technology Corporation | Methods and apparatus for multi dimension fluorescence spectrum measurement downhole |
| US8212216B2 (en) | 2007-03-30 | 2012-07-03 | Halliburton Energy Services, Inc. | In-line process measurement systems and methods |
| WO2008121684A1 (en) * | 2007-03-30 | 2008-10-09 | University Of South Carolina | Novel multi-analyte optical computing system |
| US8184295B2 (en) | 2007-03-30 | 2012-05-22 | Halliburton Energy Services, Inc. | Tablet analysis and measurement system |
| US20080245960A1 (en) * | 2007-04-09 | 2008-10-09 | Baker Hughes Incorporated | Method and Apparatus to Determine Characteristics of an Oil-Based Mud Downhole |
| US20100181472A1 (en) * | 2007-04-09 | 2010-07-22 | Baker Hughes Incorporated | Method and Apparatus to Determine Characteristics of an Oil-Based Mud Downhole |
| US8256446B2 (en) * | 2007-04-23 | 2012-09-04 | Emerson Process Management Regulator Technologies, Inc. | Modular regulator platform |
| US7498567B2 (en) * | 2007-06-23 | 2009-03-03 | Schlumberger Technology Corporation | Optical wellbore fluid characteristic sensor |
| US20090066959A1 (en) * | 2007-09-07 | 2009-03-12 | Baker Hughes Incorporated | Apparatus and Method for Estimating a Property of a Fluid in a Wellbore Using Photonic Crystals |
| US7788972B2 (en) * | 2007-09-20 | 2010-09-07 | Schlumberger Technology Corporation | Method of downhole characterization of formation fluids, measurement controller for downhole characterization of formation fluids, and apparatus for downhole characterization of formation fluids |
| US7707878B2 (en) * | 2007-09-20 | 2010-05-04 | Schlumberger Technology Corporation | Circulation pump for circulating downhole fluids, and characterization apparatus of downhole fluids |
| US8487238B2 (en) * | 2007-11-01 | 2013-07-16 | Baker Hughes Incorporated | Method of identification of petroleum compounds using frequency mixing on surfaces |
| US8283633B2 (en) | 2007-11-30 | 2012-10-09 | Halliburton Energy Services, Inc. | Tuning D* with modified thermal detectors |
| US8028562B2 (en) * | 2007-12-17 | 2011-10-04 | Schlumberger Technology Corporation | High pressure and high temperature chromatography |
| US8212213B2 (en) | 2008-04-07 | 2012-07-03 | Halliburton Energy Services, Inc. | Chemically-selective detector and methods relating thereto |
| US8434356B2 (en) | 2009-08-18 | 2013-05-07 | Schlumberger Technology Corporation | Fluid density from downhole optical measurements |
| US8109157B2 (en) * | 2008-06-30 | 2012-02-07 | Schlumberger Technology Corporation | Methods and apparatus of downhole fluids analysis |
| US7874355B2 (en) * | 2008-07-02 | 2011-01-25 | Schlumberger Technology Corporation | Methods and apparatus for removing deposits on components in a downhole tool |
| US7750302B2 (en) * | 2008-09-09 | 2010-07-06 | Schlumberger Technology Corporation | Method and apparatus for detecting naphthenic acids |
| US8011238B2 (en) * | 2008-10-09 | 2011-09-06 | Chevron U.S.A. Inc. | Method for correcting the measured concentrations of gas components in drilling mud |
| US8596384B2 (en) | 2009-02-06 | 2013-12-03 | Schlumberger Technology Corporation | Reducing differential sticking during sampling |
| US8164050B2 (en) * | 2009-11-06 | 2012-04-24 | Precision Energy Services, Inc. | Multi-channel source assembly for downhole spectroscopy |
| US8735803B2 (en) * | 2009-11-06 | 2014-05-27 | Precision Energy Services, Inc | Multi-channel detector assembly for downhole spectroscopy |
| US8436296B2 (en) * | 2009-11-06 | 2013-05-07 | Precision Energy Services, Inc. | Filter wheel assembly for downhole spectroscopy |
| WO2011063086A1 (en) | 2009-11-19 | 2011-05-26 | Halliburton Energy Services, Inc. | Downhole optical radiometry tool |
| WO2011078869A1 (en) | 2009-12-23 | 2011-06-30 | Halliburton Energy Services, Inc. | Interferometry-based downhole analysis tool |
| CA2794711C (en) | 2010-06-01 | 2016-02-16 | Halliburton Energy Services, Inc. | Spectroscopic nanosensor logging systems and methods |
| CA2781331A1 (en) | 2010-06-16 | 2011-12-22 | Halliburton Energy Services, Inc. | Downhole sources having enhanced ir emission |
| US8632625B2 (en) | 2010-06-17 | 2014-01-21 | Pason Systems Corporation | Method and apparatus for liberating gases from drilling fluid |
| US8542353B2 (en) | 2010-09-30 | 2013-09-24 | Precision Energy Services, Inc. | Refractive index sensor for fluid analysis |
| US8411262B2 (en) | 2010-09-30 | 2013-04-02 | Precision Energy Services, Inc. | Downhole gas breakout sensor |
| US10012761B2 (en) | 2010-10-27 | 2018-07-03 | Halliburton Energy Services, Inc. | Reconstructing dead oil |
| US9507047B1 (en) | 2011-05-10 | 2016-11-29 | Ingrain, Inc. | Method and system for integrating logging tool data and digital rock physics to estimate rock formation properties |
| US8813554B2 (en) | 2011-06-01 | 2014-08-26 | Schlumberger Technology Corporation | Methods and apparatus to estimate fluid component volumes |
| US8536524B2 (en) * | 2011-10-06 | 2013-09-17 | Schlumberger Technology Corporation | Fast mud gas logging using tandem mass spectroscopy |
| WO2013082446A1 (en) | 2011-12-02 | 2013-06-06 | Schlumberger Canada Limited | Optical spectrometer and downhole spectrometry method |
| WO2013106736A1 (en) | 2012-01-12 | 2013-07-18 | Schlumberger Canada Limited | Asphaltene content of heavy oil |
| RU2490451C1 (en) * | 2012-02-28 | 2013-08-20 | Андрей Александрович Павлов | Method for downhole sample control |
| US9334729B2 (en) * | 2012-10-04 | 2016-05-10 | Schlumberger Technology Corporation | Determining fluid composition downhole from optical spectra |
| US9347314B2 (en) | 2013-06-07 | 2016-05-24 | Schlumberger Technology Corporation | System and method for quantifying uncertainty of predicted petroleum fluid properties |
| US9109434B2 (en) | 2013-06-09 | 2015-08-18 | Schlumberger Technology Corporation | System and method for estimating oil formation volume factor downhole |
| WO2015051220A1 (en) | 2013-10-04 | 2015-04-09 | Schlumberger Canada Limited | Downhole fluid analysis method and apparatus for determining viscosity |
| NO347357B1 (en) | 2013-11-25 | 2023-09-25 | Halliburton Energy Services Inc | Methods and systems for determining and using gas extraction correction coefficients at a well site |
| US10345481B2 (en) | 2013-12-30 | 2019-07-09 | Schlumberger Technology Corporation | Asphaltene gradient modeling methods |
| US9423525B2 (en) | 2014-03-29 | 2016-08-23 | Schlumberger Technology Corporation | Gain compensated directional propagation measurements |
| US9581721B2 (en) | 2014-03-29 | 2017-02-28 | Schlumberger Technology Corporation | Method for making downhole electromagnetic logging while drilling measurements |
| GB2530095B (en) | 2014-09-15 | 2017-07-12 | Schlumberger Holdings | Mid-infrared sensor |
| GB2530098B (en) | 2014-09-15 | 2017-02-22 | Schlumberger Holdings | Mid-infrared acid sensor |
| GB2530099B (en) | 2014-09-15 | 2019-01-02 | Schlumberger Holdings | Temperature invariant infrared filter |
| GB2530485B (en) | 2014-09-15 | 2017-02-22 | Schlumberger Holdings | Mid-infrared carbon dioxide sensor |
| GB2530486B (en) * | 2014-09-15 | 2017-08-02 | Schlumberger Holdings | Active surface cleaning for a sensor |
| US10330665B2 (en) | 2014-11-05 | 2019-06-25 | Schlumberger Technology Corporation | Evaluating reservoir oil biodegradation |
| US9650892B2 (en) | 2014-12-17 | 2017-05-16 | Schlumberger Technology Corporation | Blended mapping for estimating fluid composition from optical spectra |
| EP3325767A4 (en) | 2015-07-20 | 2019-03-20 | Pietro Fiorentini S.P.A. | Systems and methods for monitoring changes in a formation while dynamically flowing fluids |
| CN105675501B (en) * | 2016-03-30 | 2018-05-25 | 清华大学 | A kind of fluid composition analysis instrument and its detection channels method for arranging |
| CN109738416B (en) * | 2018-12-29 | 2021-05-28 | 上海一谱仪器科技股份有限公司 | Spectrometer measurement data analysis management system based on big data |
| US11366091B2 (en) | 2020-02-11 | 2022-06-21 | Saudi Arabian Oil Company | High temperature high pressure (HTHP) cell in sum frequency generation (SFG) spectroscopy for oil/brine interface analysis with reservoir conditions and dynamic compositions |
| US11640099B2 (en) | 2020-02-11 | 2023-05-02 | Saudi Arabian Oil Company | High temperature high pressure (HTHP) cell in sum frequency generation (SFG) spectroscopy for liquid/liquid interface analysis |
| CN113376096B (en) * | 2021-05-26 | 2022-11-04 | 商丘睿控仪器仪表有限公司 | Spectrum measurement while drilling system |
Family Cites Families (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3780575A (en) | 1972-12-08 | 1973-12-25 | Schlumberger Technology Corp | Formation-testing tool for obtaining multiple measurements and fluid samples |
| US3859851A (en) | 1973-12-12 | 1975-01-14 | Schlumberger Technology Corp | Methods and apparatus for testing earth formations |
| US4994671A (en) | 1987-12-23 | 1991-02-19 | Schlumberger Technology Corporation | Apparatus and method for analyzing the composition of formation fluids |
| US4860581A (en) | 1988-09-23 | 1989-08-29 | Schlumberger Technology Corporation | Down hole tool for determination of formation properties |
| US5166747A (en) | 1990-06-01 | 1992-11-24 | Schlumberger Technology Corporation | Apparatus and method for analyzing the composition of formation fluids |
| US5201220A (en) | 1990-08-28 | 1993-04-13 | Schlumberger Technology Corp. | Apparatus and method for detecting the presence of gas in a borehole flow stream |
| US5167149A (en) | 1990-08-28 | 1992-12-01 | Schlumberger Technology Corporation | Apparatus and method for detecting the presence of gas in a borehole flow stream |
| US5635631A (en) | 1992-06-19 | 1997-06-03 | Western Atlas International, Inc. | Determining fluid properties from pressure, volume and temperature measurements made by electric wireline formation testing tools |
| US5473939A (en) | 1992-06-19 | 1995-12-12 | Western Atlas International, Inc. | Method and apparatus for pressure, volume, and temperature measurement and characterization of subsurface formations |
| US5266800A (en) | 1992-10-01 | 1993-11-30 | Schlumberger Technology Corporation | Method of distinguishing between crude oils |
| US5331156A (en) | 1992-10-01 | 1994-07-19 | Schlumberger Technology Corporation | Method of analyzing oil and water fractions in a flow stream |
| AR003846A1 (en) | 1995-10-18 | 1998-09-09 | Shell Int Research | A TRANSMISSION CELL SUITABLE FOR USE IN A DEVICE TO MEASURE INFRARED (NEARBY) SPECTRUMS OF A HYDROCARBONACEOUS MATERIAL, A SPECTROMETER THAT UNDERSTANDS IT, USE OF THE SAME, A PHYSICAL PROPERTY OF SUCH MATERIAL PROCEDURE TO PREPARE A BETUM COMPOSITION USING SUCH METHOD WITH SUCH SPECTOMETER |
| US5741962A (en) | 1996-04-05 | 1998-04-21 | Halliburton Energy Services, Inc. | Apparatus and method for analyzing a retrieving formation fluid utilizing acoustic measurements |
| US5934374A (en) | 1996-08-01 | 1999-08-10 | Halliburton Energy Services, Inc. | Formation tester with improved sample collection system |
| US6064488A (en) * | 1997-06-06 | 2000-05-16 | Monitor Labs, Inc. | Method and apparatus for in situ gas concentration measurement |
| US5939717A (en) | 1998-01-29 | 1999-08-17 | Schlumberger Technology Corporation | Methods and apparatus for determining gas-oil ratio in a geological formation through the use of spectroscopy |
| US6218662B1 (en) | 1998-04-23 | 2001-04-17 | Western Atlas International, Inc. | Downhole carbon dioxide gas analyzer |
| US6627873B2 (en) | 1998-04-23 | 2003-09-30 | Baker Hughes Incorporated | Down hole gas analyzer method and apparatus |
| US6178815B1 (en) | 1998-07-30 | 2001-01-30 | Schlumberger Technology Corporation | Method to improve the quality of a formation fluid sample |
| US6388251B1 (en) | 1999-01-12 | 2002-05-14 | Baker Hughes, Inc. | Optical probe for analysis of formation fluids |
| US6350986B1 (en) | 1999-02-23 | 2002-02-26 | Schlumberger Technology Corporation | Analysis of downhole OBM-contaminated formation fluid |
| US6274865B1 (en) * | 1999-02-23 | 2001-08-14 | Schlumberger Technology Corporation | Analysis of downhole OBM-contaminated formation fluid |
| US6467340B1 (en) | 1999-10-21 | 2002-10-22 | Baker Hughes Incorporated | Asphaltenes monitoring and control system |
| US6507401B1 (en) * | 1999-12-02 | 2003-01-14 | Aps Technology, Inc. | Apparatus and method for analyzing fluids |
| US6437326B1 (en) | 2000-06-27 | 2002-08-20 | Schlumberger Technology Corporation | Permanent optical sensor downhole fluid analysis systems |
| US6476384B1 (en) | 2000-10-10 | 2002-11-05 | Schlumberger Technology Corporation | Methods and apparatus for downhole fluids analysis |
| US6474152B1 (en) | 2000-11-02 | 2002-11-05 | Schlumberger Technology Corporation | Methods and apparatus for optically measuring fluid compressibility downhole |
| US6494909B2 (en) | 2000-12-01 | 2002-12-17 | Prodesco, Inc. | Endovascular valve |
-
2000
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