CN114086939A - Oil gas quantitative identification method and system for complex fault block oil gas reservoir - Google Patents
Oil gas quantitative identification method and system for complex fault block oil gas reservoir Download PDFInfo
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Abstract
The invention relates to the technical field of oil-gas exploration, and discloses a method and a system for quantitatively identifying oil and gas of a complex fault block oil-gas reservoir, wherein the method comprises the following steps: acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells; inputting production logging data and evaluation logging data into an oil-gas index function by taking a production well as a target well to obtain the production oil-gas index data of the production well; substituting the production oil gas index data into a gas-oil ratio function to obtain production oil gas ratio data; and comparing the produced gas-oil ratio data with the oil-gas property discrimination standard to determine the oil-gas property of the producing zone of the producing well. The method fully analyzes the logging response characteristics of the oil-gas layer in the complex block oil-gas system, applies the concept of 'logging information reconstruction', reduces useless or repeated information, obtains an oil-gas index curve by searching oil-gas sensitive factors, and establishes a gas-oil ratio calculation formula by combining with the produced gas-oil ratio, thereby quickly and accurately identifying the oil layer, the gas layer and the oil-gas layer in the complex oil-gas system.
Description
Technical Field
The invention relates to the technical field of oil-gas exploration, in particular to a method and a system for quantitatively identifying oil and gas of a complex fault block oil-gas reservoir.
Background
With the continuous development of exploration technology and geological theory, besides the continuous new discovery of conventional oil gas exploration, the exploration of complex fault block oil gas resources also makes a great breakthrough. The complex fault block oil and gas reservoir is complex in structure, a plurality of sets of oil and gas systems are mutually overlapped in the longitudinal direction, the problem that an oil layer, oil and gas are difficult to accurately identify at the same layer and a gas layer exists, the gas layer is often used as the oil layer to be shot by mistake, meanwhile, due to the exploitation of a high gas-oil ratio reservoir, the pressure of the formation of the oil and gas reservoir is reduced quickly, and the factors influence the exploration and development efficiency of an oil field. There are three common methods for distinguishing oil from gas:
the first method is that nuclear magnetic resonance logging distinguishes oil gas, and domestic Huffman, Tung and Li trend and other people combine logging information of different acquisition modes based on the existing acquisition mode of an MRIL-Prime nuclear magnetic resonance logging instrument to obtain a two-dimensional nuclear magnetic resonance signal, and a multi-echo-string joint inversion technology is utilized to obtain two-dimensional nuclear magnetic resonance information distribution of pore fluid relaxation-diffusion for distinguishing oil gas;
the second method is based on a compensation neutron excavation effect, the gas layer compensation neutron porosity is considered to be reduced by the compensation neutron excavation effect method, and the sound wave and density apparent porosity are increased, so that the oil gas is distinguished by using the difference between the sound wave or density porosity and the compensation neutron porosity;
the third is that gas logging distinguishes oil gas, and the gas component star chart proposed in 2014 by simaritong, wufeng and the like distinguishes oil gas layers, makes full use of gas logging data, and can accurately distinguish oil layers, oil gas same layers and gas layers.
The hydrocarbon reservoir identification methods presented above have their own advantages and limitations. The nuclear magnetic resonance logging has good oil and gas distinguishing effect, but the nuclear magnetic logging has high cost and slow speed measurement, and only partial wells are used for measurement; distinguishing oil gas has a certain effect based on the compensated neutron excavation effect, but the same layer of oil gas cannot be distinguished; the gas logging distinguishes oil gas and has simple operation and good effect, but the method can not be applied to the wells lacking gas logging information.
Disclosure of Invention
Based on the technical problems, the invention provides a method and a system for quantitatively identifying oil and gas in a complex block oil and gas reservoir, which are used for quickly and accurately identifying an oil layer, a gas layer and an oil and gas layer in the complex oil and gas system by fully analyzing the logging response characteristics of the oil and gas layer in the complex block oil and gas system, applying the thinking of 'logging information reconstruction', reducing useless or repeated information, finding oil and gas sensitive factors to obtain an oil and gas index curve, and establishing a gas and oil ratio calculation formula by combining with the production gas and oil ratio.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the oil gas quantitative identification method of the complex fault block oil gas reservoir comprises the following steps:
acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells, wherein the production logging data and the evaluation logging data comprise compensation subdata data and compensation density data;
inputting production logging data and evaluation logging data into an oil-gas index function by taking a production well as a target well to obtain the production oil-gas index data of the production well;
substituting the production oil gas index data into a gas-oil ratio function to obtain production oil gas ratio data;
and comparing the produced gas-oil ratio data with the oil-gas property discrimination standard to determine the oil-gas property of the producing zone of the producing well.
Further, after obtaining the production log data of the production well and the evaluation log data of the plurality of evaluation wells, the method further includes: and carrying out standardized processing on the production logging data and the evaluation logging data.
Further, obtaining the gas-oil ratio function comprises:
acquiring trial production logging data of a trial production well and trial production gas-oil ratio data of a non-hole-enlargement well section of the trial production well, wherein the trial production logging data comprise compensation subdata data and compensation density data;
inputting trial production logging data and evaluation logging data into an oil gas index function by taking a trial production well as a target well to obtain trial production oil gas index data;
making a rendezvous chart according to the pilot production gas-oil ratio data and the pilot production oil-gas index data;
and constructing a gas-oil ratio function based on the intersection chart.
Further, the gas-oil ratio function is specifically:
GOR＝a*ADCb
wherein GOR represents the production gas-oil ratio, ADC represents the gas-oil index factor, and a and b represent constants.
Further, obtaining the oil and gas property discrimination criteria comprises:
and calibrating the pilot production gas-oil ratio data to obtain an oil-gas property judgment standard.
Further, determining the section without the enlarged diameter comprises:
comparing the borehole diameter logging value of the well section in the trial production well with the diameter of the drill bit;
if the well diameter logging value is consistent with the diameter of the drill bit, the well section is not expanded.
Further, the hydrocarbon index function is specifically:
the DC represents an oil gas sensitive factor of a target well, and is based on a quantitative parameter for compensating a neutron excavation effect and free of dimension; ADC represents the oil gas index factor obtained by the target well, is a normalized oil gas sensitive factor and is dimensionless;
DEN represents the compensation density in the logging data of the target well, A represents the maximum value of the compensation density in the evaluation logging data, and B represents the minimum value of the compensation density in the evaluation logging data;
CNL represents the compensation neutron in the target well logging data, C represents the maximum value of the compensation neutron in the evaluation logging data, and D represents the minimum value of the compensation neutron in the evaluation logging data;
DCmaxrepresenting the maximum value of the hydrocarbon susceptibility factor, DC, of the target wellminRepresenting the minimum value of the hydrocarbon susceptibility factor of the target well.
A quantitative oil and gas identification system for complex fault block oil and gas reservoirs comprises:
the logging data acquisition module is used for acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells, and the production logging data and the evaluation logging data respectively comprise compensation subdata and compensation density data;
the oil and gas index calculation module is used for inputting production logging data and evaluation logging data into an oil and gas index function to obtain the production oil and gas index data of the production well by taking the production well as a target well;
the production gas-oil ratio calculation module is used for substituting the production oil-gas index data into a gas-oil ratio function to obtain production gas-oil ratio data;
and the oil gas property judgment module is used for comparing the produced oil gas ratio data with the oil gas property judgment standard to determine the oil gas property of the production zone of the production well.
Further, the logging data acquisition module comprises a neutron logging instrument and a compensated density logging instrument.
Compared with the prior art, the invention has the beneficial effects that:
the method for quantitatively identifying the oil and gas reservoir of the complex fault block oil and gas reservoir is easy to implement, strong in operability, intuitive and clear in identification, and solves the problems of complex structure, mixed oil and gas storage, high difficulty in identifying the oil reservoir, the gas reservoir and the oil and gas reservoir at the same layer and low accuracy rate of the complex fault block oil and gas reservoir.
Furthermore, the method of the invention has the following advantages:
(1) the method has the advantages that the logging response characteristics of the oil-gas layer in the complex block oil-gas system are fully analyzed, useless or repeated information is reduced by applying the concept of 'logging information reconstruction', an oil-gas index curve is obtained by searching for oil-gas sensitive factors, and a gas-oil ratio calculation formula is established by combining with the test of the produced gas-oil ratio, so that the oil layer, the gas layer and the oil-gas layer in the complex oil-gas system are quickly and accurately identified. Compared with nuclear magnetic logging, the cost is lower;
(2) the method has the advantages that quantitative calculation of oil gas is carried out based on the conventional curve and the produced gas-oil ratio, and compared with the method for distinguishing oil gas by utilizing gas logging and nuclear magnetic logging, the method is more widely applied.
(3) The method can clearly distinguish an oil layer, an oil-gas layer and a gas layer, and the method is applied to explain and evaluate the oil-gas layer, so that the explanation coincidence rate reaches 90%.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. Wherein:
FIG. 1 is a schematic flow diagram of a quantitative oil and gas identification method for complex fault block oil and gas reservoirs.
FIG. 2 is a schematic flow chart of obtaining a gas-oil ratio function and a gas-oil property criterion.
FIG. 3 is a cross-plot of the production trial gas-oil ratio data and the second hydrocarbon index data.
FIG. 4 is a well logging data diagram obtained by the XX well through a method for quantitatively identifying oil and gas of a complex fault block oil and gas reservoir.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings of the embodiments of the present application. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the application without any inventive step, are within the scope of protection of the application.
Referring to fig. 1, in some embodiments, a method for quantitative hydrocarbon identification of a complex fault block hydrocarbon reservoir includes:
s101, acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells, wherein the production logging data and the evaluation logging data comprise compensation subdata and compensation density data;
preferably, after acquiring the production log data of the production well and the evaluation log data of the plurality of evaluation wells, the method further comprises performing standardization processing on the production log data and the evaluation log data.
Specifically, the reason for standardizing the compensation medium data and the compensation density data is that the logging data in the same block often come from different logging series, and the problems of non-uniform scales and data mismatch exist. Practice shows that even if the logging curve is subjected to strict data acceptance and even environmental correction, special errors caused by scale errors and the like still exist. Therefore, it is necessary to standardize the well log data so that the data is comparable between wells.
The well logging curve standardization process is as follows: selecting a well with complete logging series, structure, oil-bearing property, lithology and other regional representativeness as a standard well; selecting a layer which is wide in distribution, relatively large in thickness and stable in lithology in the whole construction area as a standard layer; the curve normalization was performed using a frequency histogram method.
Specifically, the compensation neutron data can be obtained by directly measuring the compensation neutron logging instrument, and the compensation density data can be obtained by directly measuring the compensation density logging instrument.
Specifically, both the production well and the evaluation well are in the same area of study of a complex fault block reservoir.
S102, with the production well as a target well, inputting production logging data and evaluation logging data into an oil and gas index function to obtain production oil and gas index data of the production well;
s103, substituting the produced oil gas index data into a gas-oil ratio function to obtain produced gas-oil ratio data;
and S104, comparing the produced gas-oil ratio data with the oil-gas property distinguishing standard to determine the oil-gas property of the production layer of the production well.
Referring to FIG. 2, in some embodiments, obtaining the gas-to-oil ratio function includes:
s201, acquiring trial production logging data of a trial production well and trial production gas-oil ratio data of a trial production well section without an expanded diameter, wherein the trial production logging data comprise compensation neutron data and compensation density data;
the trial gas-oil ratio data is the ratio of the daily gas production and the daily oil production, and is obtained through calculation of a trial oil data table.
Preferably, determining the uncapped well section comprises: and comparing the borehole diameter logging value of the borehole section in the trial production well with the diameter of the drill bit, wherein if the borehole diameter logging value is consistent with the diameter of the drill bit, the borehole section is not expanded.
In contrast, if the caliper log does not match the drill bit diameter, there is an increase in diameter.
In addition, it can be seen that the section without the expanded diameter can also be used as a standard for selecting a trial production well in a reverse manner, so that an evaluation well with the section without the expanded diameter can be selected as the trial production well.
S202, inputting pilot production logging data and evaluation logging data into an oil and gas index function by taking a pilot production well as a target well to obtain pilot production oil and gas index data;
s203, making a rendezvous chart according to the pilot production gas-oil ratio data and the pilot production oil-gas index data;
the rendezvous plate specifically comprises the following steps: and establishing a rendezvous chart by taking the pilot production oil gas index data as an abscissa and the pilot production oil gas ratio data as an ordinate according to the pilot production oil gas ratio data.
And S204, constructing a gas-oil ratio function based on the rendezvous chart.
And fitting and constructing a gas-oil ratio calculation formula based on coordinate points constructed by pilot production oil-gas index data and pilot production gas-oil ratio data on the rendezvous chart, and obtaining a gas-oil ratio function.
Specifically, the gas-oil ratio function is specifically:
GOR＝a*ADCb
wherein GOR represents the production gas-oil ratio, ADC represents the gas-oil index factor, and a and b represent constants.
In some embodiments, obtaining hydrocarbon property criteria includes: and calibrating the pilot production gas-oil ratio data to obtain an oil-gas property judgment standard.
And the property of the oil gas in the production zone in the pilot production well can be obtained from the pilot production oil-gas ratio data, and the property of the oil gas in the production zone obtained from the pilot production oil-gas ratio data is associated and calibrated with the pilot production oil-gas ratio, so that the oil-gas property discrimination standard based on the oil-gas ratio can be obtained.
In some embodiments, the hydrocarbon index function is specifically:
the DC represents an oil gas sensitive factor of a target well, and is based on a quantitative parameter for compensating a neutron excavation effect and free of dimension; ADC represents the oil gas index factor obtained by the target well, is a normalized oil gas sensitive factor and is dimensionless;
DEN represents the compensation density in the logging data of the target well, A represents the maximum value of the compensation density in the evaluation logging data, and B represents the minimum value of the compensation density in the evaluation logging data;
CNL represents the compensation neutron in the target well logging data, C represents the maximum value of the compensation neutron in the evaluation logging data, and D represents the minimum value of the compensation neutron in the evaluation logging data;
DCmaxrepresenting the maximum value of the hydrocarbon susceptibility factor, DC, of the target wellminRepresenting the minimum value of the hydrocarbon susceptibility factor of the target well.
Wherein the oil gas sensitive factor is based on the complementary neutron excavation effect and reflects the gas content.
The oil and gas index factor is the normalization of the oil and gas sensitive factor, and the numerical value represents the gas content.
In addition, the hydrocarbon index function may also be:
wherein N is a constant, and the purpose is to calibrate the oil gas index factor in a set range. Taking N as an example, the method can calibrate the oil-gas index factor to be between 0 and 10, so as to enlarge the difference and facilitate the identification of the oil-gas reservoir and the establishment of a post-intersection plate.
In some embodiments, a system for quantitative hydrocarbon identification of complex fault block reservoirs is also disclosed, comprising:
the logging data acquisition module is used for acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells, and the production logging data and the evaluation logging data respectively comprise compensation subdata and compensation density data;
the oil and gas index calculation module is used for inputting production logging data and evaluation logging data into an oil and gas index function to obtain the production oil and gas index data of the production well by taking the production well as a target well;
the production gas-oil ratio calculation module is used for substituting the production oil-gas index data into a gas-oil ratio function to obtain production gas-oil ratio data;
and the oil gas property judgment module is used for comparing the produced oil gas ratio data with the oil gas property judgment standard to determine the oil gas property of the production zone of the production well.
In some embodiments, the logging data acquisition module includes a neutron logging tool and a compensated density logging tool.
The flow for obtaining the gas-oil ratio function and the oil-gas property discrimination standard of the present application will be further explained with reference to specific data as follows:
first, the neutron logger and the compensation density logger can directly obtain compensation neutron data and compensation density data. Selecting XX wells with complete log series, structure, oil-bearing property, lithology and the like and with regional representativeness as production wells; selecting an XX small layer which is wide in distribution, relatively large in thickness and stable in lithology in the whole construction area as a standard layer; the curve normalization was performed using a frequency histogram method.
Secondly, the compensation neutron data and the compensation density data in the production logging data of the production well are standardized to manufacture a compensation neutron curve and a compensation density curve, and the compensation neutron curve and the compensation density curve are shown in the 1 st column of fig. 4.
The maximum value of the compensation density of the known evaluation logging data logging measurement is 2.7g/m3, the minimum value is 1.9g/m3, the maximum value of the evaluation logging data logging measurement compensation neutron is 45%, the minimum value is 12%, and the data are substituted into an oil-gas index function. And establishing second hydrocarbon index data sensitive to hydrocarbon reservoir reaction by using the hydrocarbon index function, wherein a hydrocarbon index curve is shown in a 5 th column of the figure 4.
And secondly, acquiring trial production gas-oil ratio data of a non-hole enlargement well section of the trial production well, and making a rendezvous chart according to the trial production gas-oil ratio data and the second oil-gas index data, wherein the rendezvous chart is shown in FIG. 3. Wherein determining the non-expanded diameter well section comprises: comparing the borehole diameter log of the well section in the production well with the diameter of the drill bit; if the well diameter logging value is consistent with the diameter of the drill bit, the well section is not expanded. In contrast, if the caliper log does not match the drill bit diameter, there is an increase in diameter.
Specifically, the obtained calculation formula of the gasoline-oil ratio is as follows: GOR 0.9396 ADC7.2932。
Specifically, the discrimination standard of the oil gas property of the producing zone calibrated by the pilot production gas-oil ratio data is as follows:
gas layer: GOR>3000(m3/m3)；
Oil gas is on the same layer: GOR of 300-3000 (m)3/m3)；
Oil layer: GOR<3000(m3/m3)。
And finally, substituting the oil gas index data into a gas-oil ratio function to obtain a production gas-oil ratio, and comparing the production gas-oil ratio with an oil gas property judgment standard to determine the oil gas property of the production layer of the production well. And calculating the production gas-oil ratio by using a gas-oil ratio calculation formula, determining the property of oil gas in a producing zone and guiding production.
The method comprises the following specific steps:
when the GOR value of the producing zone is more than 3000, the producing zone is interpreted as a gas zone;
when the GOR value of a producing layer is 300-3000, interpreting as an oil gas same layer;
when the GOR value of the pay zone is less than 300, it is interpreted as a pay zone.
In fig. 4, the GOR curve in the column 6 is a produced gas-oil ratio curve calculated by the invention for the XX well, the 7 th column is a logging interpretation conclusion obtained by the produced gas-oil ratio calculated by the well, and the 8 th column is a well oil testing conclusion.
The above is an embodiment of the present invention. The embodiments and specific parameters in the embodiments are only used for clearly illustrating the verification process of the invention and are not used for limiting the patent protection scope of the invention, which is defined by the claims, and all the equivalent structural changes made by using the contents of the description and the drawings of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The oil gas quantitative identification method of the complex fault block oil gas reservoir is characterized by comprising the following steps:
acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells, wherein the production logging data and the evaluation logging data comprise compensation subdata and compensation density data;
inputting the production logging data and the evaluation logging data into a hydrocarbon index function by taking the production well as a target well to obtain the production hydrocarbon index data of the production well;
substituting the production oil gas index data into a gas-oil ratio function to obtain production oil gas ratio data;
and comparing the produced gas-oil ratio data with a gas-oil property judgment standard to determine the property of the gas-oil in the production zone of the production well.
2. The method of claim 1, wherein after obtaining production log data from a production well and evaluation log data from a plurality of evaluation wells, further comprising:
and carrying out standardization processing on the production logging data and the evaluation logging data.
3. The method of claim 1, wherein obtaining the gas-oil ratio function comprises:
acquiring trial production logging data of a trial production well and trial production gas-oil ratio data of a non-hole-enlargement well section of the trial production well, wherein the trial production logging data comprise compensation neutron data and compensation density data;
inputting the trial production logging data and the evaluation logging data into an oil and gas index function by taking the trial production well as a target well to obtain trial production oil and gas index data;
making a rendezvous chart according to the pilot production gas-oil ratio data and the pilot production oil-gas index data;
and constructing a gas-oil ratio function based on the intersection plate.
4. The method for quantitatively identifying hydrocarbons and gas of a complex fault block hydrocarbon reservoir as claimed in claim 3, wherein the gas-oil ratio function is specifically:
GOR＝a*ADCb
wherein GOR represents the production gas-oil ratio, ADC represents the gas-oil index factor, and a and b represent constants.
5. The system of claim 3, wherein obtaining the hydrocarbon property criteria comprises:
and calibrating the pilot production gas-oil ratio data to obtain the oil-gas property discrimination standard.
6. The method of claim 3, wherein determining the hole enlargement free interval comprises:
comparing the caliper log value of the well section in the trial production well with the diameter of the drill bit;
and if the borehole diameter logging value is consistent with the diameter of the drill bit, the well section is not expanded.
7. The method for quantitatively identifying hydrocarbons from complex fault block hydrocarbon reservoirs according to claim 1, wherein the hydrocarbon exponential function is specifically:
the DC represents an oil gas sensitive factor of a target well, and is based on a quantitative parameter for compensating a neutron excavation effect and free of dimension; ADC represents the oil gas index factor obtained by the target well, is a normalized oil gas sensitive factor and is dimensionless;
DEN represents the compensation density in the logging data of the target well, A represents the maximum value of the compensation density in the evaluation logging data, and B represents the minimum value of the compensation density in the evaluation logging data;
CNL represents the compensation neutron in the target well logging data, C represents the maximum value of the compensation neutron in the evaluation logging data, and D represents the minimum value of the compensation neutron in the evaluation logging data;
DCmaxrepresenting the maximum value of the hydrocarbon susceptibility factor, DC, of the target wellminRepresenting the minimum value of the hydrocarbon susceptibility factor of the target well.
8. Oil gas quantitative identification system of complicated fault block oil and gas reservoir, its characterized in that includes:
the logging data acquisition module is used for acquiring production logging data of a production well and evaluation logging data of a plurality of evaluation wells, and the production logging data and the evaluation logging data respectively comprise compensation subdata data and compensation density data;
the hydrocarbon index calculation module is used for inputting the production logging data and the evaluation logging data into a hydrocarbon index function to obtain the production hydrocarbon index data of the production well by taking the production well as a target well;
the production gas-oil ratio calculation module is used for substituting the production oil-gas index data into a gas-oil ratio function to obtain production gas-oil ratio data;
and the oil gas property judgment module is used for comparing the produced oil gas ratio data with an oil gas property judgment standard to determine the oil gas property of the production layer of the production well.
9. The system of claim 8 for quantitative hydrocarbon identification of complex fault block reservoirs, wherein:
the logging data acquisition module comprises a neutron logging instrument and a compensated density logging instrument.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110208431A1 (en) * | 2009-12-18 | 2011-08-25 | Chevron U.S.A. Inc. | Workflow for petrophysical and geophysical formation evaluation of wireline and lwd log data |
| CN105064986A (en) * | 2015-07-24 | 2015-11-18 | 中国石油天然气集团公司 | Method for building reservoir four-property relationship spectrum by using conventional well detection and logging information |
| CN106593423A (en) * | 2016-11-08 | 2017-04-26 | 中国石油天然气股份有限公司 | Method and device for identifying oil reservoir fluid type |
| CN112083515A (en) * | 2020-09-10 | 2020-12-15 | 西南石油大学 | Quantitative characterization and gas-bearing property evaluation method for excavation effect of low-resistance reservoir of tight sandstone |
-
2021
- 2021-10-27 CN CN202111252087.8A patent/CN114086939B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110208431A1 (en) * | 2009-12-18 | 2011-08-25 | Chevron U.S.A. Inc. | Workflow for petrophysical and geophysical formation evaluation of wireline and lwd log data |
| CN105064986A (en) * | 2015-07-24 | 2015-11-18 | 中国石油天然气集团公司 | Method for building reservoir four-property relationship spectrum by using conventional well detection and logging information |
| CN106593423A (en) * | 2016-11-08 | 2017-04-26 | 中国石油天然气股份有限公司 | Method and device for identifying oil reservoir fluid type |
| CN112083515A (en) * | 2020-09-10 | 2020-12-15 | 西南石油大学 | Quantitative characterization and gas-bearing property evaluation method for excavation effect of low-resistance reservoir of tight sandstone |
Non-Patent Citations (1)
| Title |
|---|
| 司马立强 等: "利用测录井资料定量计算复杂油气水系统的气油比—以柴达木盆地英东油气田为例", 天然气工业, vol. 34, no. 7, pages 34 - 40 * |
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