CN117216669A - Shale reservoir classification evaluation chart establishing method and application - Google Patents

Shale reservoir classification evaluation chart establishing method and application Download PDF

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CN117216669A
CN117216669A CN202311481918.8A CN202311481918A CN117216669A CN 117216669 A CN117216669 A CN 117216669A CN 202311481918 A CN202311481918 A CN 202311481918A CN 117216669 A CN117216669 A CN 117216669A
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reservoir
class
region
shale
shale reservoir
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CN117216669B (en
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姜海申
高世葵
倪云燕
董大忠
蓝宝锋
洪峰
甘利灯
陈建平
张延玲
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Guizhou Energy Industry Research Institute Co ltd
China University of Petroleum Beijing
China University of Geosciences Beijing
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Guizhou Energy Industry Research Institute Co ltd
China University of Petroleum Beijing
China University of Geosciences Beijing
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract

The invention discloses a method for establishing a shale reservoir classification evaluation drawing board and application thereof, wherein a two-dimensional rectangular coordinate system is established, a horizontal axis and a vertical axis respectively represent reservoir characteristic fraction and reservoir top burial depth of a shale reservoir, the coordinate system is divided into n rectangular areas on a plane, and the rectangular coordinate system is divided into 3 areas on the plane based on functions of characteristic parameters: class i region, class ii region, class iii region; and (3) representing the shale reservoir to be evaluated as an isosceles triangle related to the reservoir thickness on a coordinate system to obtain a shale reservoir classification evaluation chart. The method is simple and direct, can objectively reflect the classification condition of the shale reservoir, and has good application prospect.

Description

Shale reservoir classification evaluation chart establishing method and application
Technical Field
The invention relates to the technical field of shale reservoir classification evaluation, in particular to a method for establishing a shale reservoir classification evaluation drawing board and application thereof.
Background
Shale gas is an important field for increasing the storage and the production in China, and a large number of large and medium shale gas fields such as Fuling, weirong, changning, weiyuan, zhaotong and Yongchuan are discovered in the Taurt-Chengzhi Tongjia group of the five-peak group of Aoshan Tao Tong on the Sichuan basin, and breakthrough of milestones is achieved. Compared with North American shale reservoirs, the shale gas in China develops into reservoirs under extremely complex geological conditions, and the shale gas in China has geological conditions with extremely special and complex properties because of differences of organic geochemical characteristics of the shale, reservoir conditions and preservation conditions due to different regions and layers, so that the classification and evaluation of the shale reservoirs are very important.
Currently, in research on reservoir classification, common shale reservoir key parameters comprise total organic carbon content, porosity, saturation, gas content, brittleness and the like, and when the parameters are researched, classification and grading are carried out on a common quality score intersection chart, a well logging response chart and the like, so that classification and evaluation conditions of the whole reservoir cannot be intuitively reflected, and a simple and effective shale reservoir classification and evaluation chart is needed.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a method for establishing a shale reservoir classification evaluation chart and application of the shale reservoir classification evaluation chart, wherein geological factors affecting shale reservoirs can be systematically considered.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a method of establishing a shale reservoir classification evaluation chart, the method comprising:
step S1, a two-dimensional rectangular coordinate system is established, X represents a horizontal axis, and Y represents a vertical axis; the abscissa of the rectangular coordinate system represents reservoir characteristic fraction x of the shale reservoir, x is more than or equal to 0, the reservoir characteristic fraction x of the shale reservoir is set to be sequentially increased from left to right along the horizontal axis, the ordinate of the rectangular coordinate system represents reservoir top burial depth Y, the unit m, Y is more than or equal to 0, and the reservoir top burial depth Y is set to be sequentially increased from bottom to top along the vertical axis Y.
Step S2, setting a plurality of key point position scales on the longitudinal axis Y and marking, and carrying out uneven setting on the longitudinal axis scale values according to the key point position scales of the reservoir top burial depth Y, wherein the uneven setting means that adjacent key point position scale values are not in an arithmetic progression, and the interval is equal; marking scale values of reservoir characteristic scores X on a horizontal axis X at equal intervals; and respectively making line segments parallel to the Y axis and the X axis from the scale values on the X axis and the Y axis after the bisection, and equally dividing the two-dimensional rectangular coordinate system into n rectangular areas on a plane.
Step S3, marking 3 rays L1, L2 and L3 in the two-dimensional rectangular coordinate system, wherein the function of L1 is x=2, y is more than or equal to 500, the function of L2 is y=500, x is more than or equal to 2, the function of L3 is y=4000, and x is more than or equal to 2; dividing the rectangular coordinate system into 3 areas on a plane based on the 3 rays: class i region, class ii region, class iii region; wherein the reservoir in the class i region represents a high physical property reservoir, the reservoir in the class ii region represents a general physical property reservoir, and the reservoir in the class iii region represents a low physical property reservoir.
S4, calculating reservoir characteristic fraction x and reservoir top burial depth y of the shale reservoir to be evaluated to obtain coordinates of the shale reservoir on a two-dimensional rectangular coordinate systemAnd calculating the reservoir thickness H of the shale reservoir to be evaluated, and expressing the coordinates on a two-dimensional rectangular coordinate system as an isosceles triangle related to H to obtain a shale reservoir classification evaluation drawing board.
Further, in the step S1, the reservoir characteristic score x is a function of reservoir characteristic parameters, where the characteristic parameters include: shale reservoir porosity phi, gas saturation G, brittleness index B and total organic carbon mass fraction T, and obtaining reservoir characteristic fraction x, wherein x=0.278×10 by carrying out product calculation on characteristic parameters of each reservoir 5 ×ΦGBT。
Further, in the step S2, a plurality of key point position scales are set and marked on the longitudinal axis Y, wherein the number of the key point position scales is 4, and the key point position scales are 500, 2000, 4000 and 10000 respectively from bottom to top along the longitudinal axis Y.
Further, in the step S3, the area of the class i is an area surrounded by the right side of the ray L1, the upper side of the ray L2, and the lower side of the ray L3 in the two-dimensional rectangular coordinate system, and includes the interval itself where y is 500-400 and the rays L2 and L3 themselves; the class II region refers to the upper right region where the ray L1 and the ray L3 intersect, and comprises the region where L1 is larger than 4000 in y; the III type region refers to other regions except the I type region and the II type region in a two-dimensional rectangular coordinate system; the shale reservoir physical properties of the class I region, the class II region and the class III region are decreased, wherein in the class III region, the region with the reservoir characteristic fraction x less than 1 is considered to be a non-reservoir region.
Further, in the step S4, the representation of the coordinate as an isosceles triangle related to h on a two-dimensional rectangular coordinate system specifically means that the base center point of the isosceles triangle is the coordinateThe base of the isosceles triangle is parallel to the X-axis, the height H of the isosceles triangle is related to the reservoir thickness H, the greater the reservoir thickness H the greater the height of the isosceles triangle>The bigger the->When the reservoir thickness h=30m, the height H of the isosceles triangle is equal to the base side length of the triangleEqual.
Further, after the step S4, the method further includes:
step S5, performing a subdivision on the class i region of the shale reservoir classification evaluation chart, where the subdivision refers to performing a linear fit on classification evaluation coordinates of a plurality of shale reservoirs to obtain a function y=196x+858, and further dividing a rectangular region in the class i region through which the function passes and upper and lower 4 rectangular regions adjacent to the intersection coordinates of y=2000 into class i regions + Class area, I + Class areas indicate shale reservoir properties that are higher than the average level of class i areas.
The shale reservoir classification evaluation chart adopts the establishment method of the step S1-the step S4; if the shale reservoir is positioned in the class I area on the classification evaluation drawing board, judging that the shale reservoir is a high-quality shale reservoir, and has high development value; if the rock reservoir is positioned in the class II area on the classification evaluation drawing board, judging that the shale reservoir is a common shale reservoir, and has development value; if the shale reservoir is not located in the class I area or the class II area on the classification evaluation chart, judging that the shale reservoir has no development value.
The shale reservoir classification evaluation chart adopts the establishment method of the steps S1-S5; if shale reservoir is located at I on the classification evaluation chart + And if the shale reservoir is classified into the class area, judging that the shale reservoir is a super-quality shale reservoir, and has super-high development value.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, a two-dimensional rectangular coordinate system is established, the horizontal axis and the vertical axis respectively represent the reservoir characteristic score and the reservoir top burial depth of the shale reservoir, the coordinate system is divided into n rectangular areas on a plane, the rectangular coordinate system is divided into 3 areas on the plane based on functions of characteristic parameters, the shale reservoir to be evaluated is represented on the coordinate system as an isosceles triangle related to the reservoir thickness, the shale reservoir classification condition can be intuitively judged according to the coordinate point areas, and the method is simple and direct, can objectively reflect the shale reservoir classification condition and has good application prospects.
Drawings
FIG. 1 is a shale reservoir classification evaluation chart of the present invention.
FIG. 2 is another shale reservoir classification evaluation chart of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the present invention will be clearly and completely described below, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The embodiment discloses a method for establishing a shale reservoir classification evaluation chart, which is shown in fig. 1 and 2, and comprises the following steps:
step S1, a two-dimensional rectangular coordinate system is established, X represents a horizontal axis, and Y represents a vertical axis; the abscissa of the rectangular coordinate system represents the reservoir characteristic fraction x of the shale reservoir, x is more than or equal to 0, the reservoir characteristic fraction x of the shale reservoir is set to be gradually increased from left to right along the horizontal axis, the ordinate of the rectangular coordinate system represents the reservoir top burial depth Y, the unit m, Y is more than or equal to 0, and the reservoir top burial depth Y is set to be sequentially increased from bottom to top along the vertical axis Y.
It should be noted that the reservoir characteristic score x is a function of reservoir characteristic parameters, where the characteristic parameters include: shale reservoir porosity Φ, gas saturation G, brittleness index B, and total organic carbon mass fraction T, forThe characteristic parameters of each reservoir are calculated to obtain the reservoir characteristic score x, wherein x=0.278×10 5 ×ΦGBT。
Step S2, setting a plurality of key point position scales on a longitudinal axis Y and marking, and carrying out uneven setting on the longitudinal axis scale values according to the key point position scales of the top burial depth Y of the reservoir, wherein uneven setting means that adjacent key point position scale values are not in an equal difference sequence, and the intervals of the adjacent key point position scale values are equal; marking scale values of reservoir characteristic scores X on a horizontal axis X at equal intervals; and respectively making line segments parallel to the Y axis and the X axis from the scale values on the X axis and the Y axis after the bisection, and equally dividing the two-dimensional rectangular coordinate system into n rectangular areas on a plane.
It should be noted that, a plurality of key point position scales are set and marked on the longitudinal axis Y, wherein the number of the key point position scales is 4, and the key point position scales are 500, 2000, 4000 and 10000 respectively from bottom to top along the longitudinal axis Y.
Step S3, marking 3 rays L1, L2 and L3 in a two-dimensional rectangular coordinate system, wherein the function of L1 is x=2, y is more than or equal to 500, the function of L2 is y=500, x is more than or equal to 2, the function of L3 is y=4000, and x is more than or equal to 2; the rectangular coordinate system is divided into 3 areas on a plane based on 3 rays: class i region, class ii region, class iii region; wherein the reservoirs in the class I region represent high physical reservoirs, the reservoirs in the class II region represent general physical reservoirs, and the reservoirs in the class III region represent low physical reservoirs.
The I-type region is a region surrounded by the right side of a ray L1, the upper side of a ray L2 and the lower side of a ray L3 in a two-dimensional rectangular coordinate system, and comprises a region where the ray L1 is more than or equal to 500 and less than or equal to 400 and the rays L2 and L3; the class II region refers to the upper right region where the ray L1 intersects the ray L3, and includes the region where L1 is greater than 4000; the III type region refers to other regions except the I type region and the II type region in a two-dimensional rectangular coordinate system; shale reservoir properties decrease in class i, class ii, class iii zones, wherein in class iii zone the zone with a reservoir characteristic score x < 1 is considered to be a non-reservoir zone.
Step S4, calculating reservoir characteristic fraction x and reservoir top burial depth y of the shale reservoir to be evaluated to obtainIts coordinates in two-dimensional rectangular coordinate systemAnd then, calculating the reservoir thickness H of the shale reservoir to be evaluated, and representing the coordinates on a two-dimensional rectangular coordinate system as an isosceles triangle related to H to obtain a shale reservoir classification evaluation chart.
The isosceles triangle whose coordinates are expressed as being related to h on the two-dimensional rectangular coordinate system specifically means that the base center point of the isosceles triangle is the coordinatesThe base of the isosceles triangle is parallel to the X-axis, the height H of the isosceles triangle is related to the reservoir thickness H, the greater the reservoir thickness H the higher the isosceles triangle is +.>The bigger the->When the reservoir thickness h=30m, the height H of the isosceles triangle and the base side length of the triangle +.>Equal.
After step S4, the method further includes:
step S5, sub-dividing the class I area of the shale reservoir classification evaluation chart, wherein the sub-dividing refers to performing linear fitting on classification evaluation coordinates of a plurality of shale reservoirs to obtain a function y=196x+858, and further dividing a rectangular area in the class I area through which the function passes and upper and lower 4 rectangular areas adjacent to the crossing coordinates of y=2000 into the class I areas + Class area, I + Class areas indicate shale reservoir properties that are higher than the average level of class i areas.
Example 2
The embodiment discloses application of a shale reservoir classification evaluation chart, the classification evaluation chart adopts a method for establishing the steps S1-S4, and each classification area of the classification evaluation chart is shown in FIG. 2.
If the shale reservoir is located in the class I area on the classification evaluation chart, judging that the shale reservoir is a high-quality shale reservoir, and has high development value; if the rock reservoir is positioned in the class II area on the classification evaluation chart, judging that the shale reservoir is a common shale reservoir, and has development value; if the shale reservoir is not located in the class I area or the class II area on the classification evaluation chart, judging that the shale reservoir has no development value.
Example 3
The embodiment discloses application of another shale reservoir classification evaluation chart, wherein the classification evaluation chart adopts the establishing method of step S1-step S5, and the classification evaluation chart is I + Class classification regions are shown in fig. 2; if shale reservoir is located at I on classification evaluation chart + And if the shale reservoir is classified into the class area, judging that the shale reservoir is a super-quality shale reservoir, and has super-high development value.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (8)

1. The method for establishing the shale reservoir classification evaluation chart is characterized by comprising the following steps of:
step S1, a two-dimensional rectangular coordinate system is established, X represents a horizontal axis, and Y represents a vertical axis; the abscissa of the rectangular coordinate system represents reservoir characteristic fraction x of the shale reservoir, x is more than or equal to 0, the reservoir characteristic fraction x of the shale reservoir is set to sequentially increase from left to right along the horizontal axis, the ordinate of the rectangular coordinate system represents reservoir top burial depth Y, the unit m, Y is more than or equal to 0, and the reservoir top burial depth Y is set to sequentially increase from bottom to top along the vertical axis Y;
step S2, setting a plurality of key point position scales on the longitudinal axis Y and marking, and carrying out uneven setting on the longitudinal axis scale values according to the key point position scales of the reservoir top burial depth Y, wherein the uneven setting means that adjacent key point position scale values are not in an arithmetic progression, and the interval is equal; marking scale values of reservoir characteristic scores X on a horizontal axis X at equal intervals; dividing the two-dimensional rectangular coordinate system into n rectangular areas on a plane by dividing the two-dimensional rectangular coordinate system into n rectangular areas;
step S3, marking 3 rays L1, L2 and L3 in the two-dimensional rectangular coordinate system, wherein the function of L1 is x=2, y is more than or equal to 500, the function of L2 is y=500, x is more than or equal to 2, the function of L3 is y=4000, and x is more than or equal to 2; dividing the rectangular coordinate system into 3 areas on a plane based on the 3 rays: class i region, class ii region, class iii region; wherein the reservoir in the class i region represents a high physical property reservoir, the reservoir in the class ii region represents a general physical property reservoir, and the reservoir in the class iii region represents a low physical property reservoir;
s4, calculating reservoir characteristic fraction x and reservoir top burial depth y of the shale reservoir to be evaluated to obtain coordinates of the shale reservoir on a two-dimensional rectangular coordinate systemAnd calculating the reservoir thickness H of the shale reservoir to be evaluated, and expressing the coordinates on a two-dimensional rectangular coordinate system as an isosceles triangle related to H to obtain a shale reservoir classification evaluation drawing board.
2. The method for creating a shale reservoir classification evaluation chart as claimed in claim 1, wherein in step S1, the reservoir characteristic score x is a function of reservoir characteristic parameters, the characteristic parameters comprising: shale reservoir porosity phi, gas saturation G, brittleness index B and total organic carbon mass fraction T, and obtaining reservoir characteristic fraction x, wherein x=0.278×10 by carrying out product calculation on characteristic parameters of each reservoir 5 ×ΦGBT。
3. The method for establishing the shale reservoir classification evaluation chart according to claim 1, wherein in the step S2, a plurality of key point position scales are set and marked on the longitudinal axis Y, wherein the number of the key point position scales is 4, and the key point position scales are 500, 2000, 4000 and 10000 respectively from bottom to top along the longitudinal axis Y.
4. The method for establishing the shale reservoir classification evaluation chart according to claim 1, wherein in the step S3, the i-type region is a region surrounded by a ray L1 on the right, a ray L2 on the top and a ray L3 on the bottom in a two-dimensional rectangular coordinate system, and includes a region where the ray L1 is 500.ltoreq.y.ltoreq.400, and the rays L2 and L3; the class II region refers to the upper right region where the ray L1 and the ray L3 intersect, and comprises the region where L1 is larger than 4000 in y; the III type region refers to other regions except the I type region and the II type region in a two-dimensional rectangular coordinate system; the shale reservoir physical properties of the class I region, the class II region and the class III region are decreased, wherein in the class III region, the region with the reservoir characteristic fraction x less than 1 is considered to be a non-reservoir region.
5. The method for establishing a shale reservoir classification evaluation chart according to claim 1, wherein in the step S4, the coordinate is represented as an isosceles triangle related to h on a two-dimensional rectangular coordinate system, specifically, the base center point of the isosceles triangle is the coordinateThe base of the isosceles triangle is parallel to the X-axis, the height H of the isosceles triangle is related to the reservoir thickness H, the greater the reservoir thickness H the greater the height of the isosceles triangle>The bigger the->When the reservoir thickness h=30m, the height H of the isosceles triangle is +.>Equal.
6. The method for creating shale reservoir classification evaluation panels as claimed in claim 4 or 5, further comprising, after said step S4:
step S5, performing a subdivision on the class i region of the shale reservoir classification evaluation chart, where the subdivision refers to performing a linear fit on classification evaluation coordinates of a plurality of shale reservoirs to obtain a function y=196x+858, and further dividing a rectangular region in the class i region through which the function passes and upper and lower 4 rectangular regions adjacent to the intersection coordinates of y=2000 into class i regions + Class area, I + Class areas indicate shale reservoir properties that are higher than the average level of class i areas.
7. Use of a shale reservoir classification evaluation chart, characterized in that the classification evaluation chart adopts the building method according to any one of claims 1-5; if the shale reservoir is positioned in the class I area on the classification evaluation drawing board, judging that the shale reservoir is a high-quality shale reservoir, and has high development value; if the rock reservoir is positioned in the class II area on the classification evaluation drawing board, judging that the shale reservoir is a common shale reservoir, and has development value; if the shale reservoir is not located in the class I area or the class II area on the classification evaluation chart, judging that the shale reservoir has no development value.
8. The application of a shale reservoir classification evaluation chart, which is characterized in that the classification evaluation chart adopts the establishment method of claim 6; if shale reservoir is located at I on the classification evaluation chart + And if the shale reservoir is classified into the class area, judging that the shale reservoir is a super-quality shale reservoir, and has super-high development value.
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Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104239703A (en) * 2014-09-03 2014-12-24 中石化江汉石油工程有限公司测录井公司 Quantitative analogical evaluation method for multiple parameters of shale gas reservoir
CN105134195A (en) * 2015-09-02 2015-12-09 中国石油天然气股份有限公司 Shale gas reservoir quality evaluation method based on logging information
CN105675468A (en) * 2016-01-15 2016-06-15 山东科技大学 Evaluation method of shale organic matter porosity
CN107120106A (en) * 2017-05-25 2017-09-01 中石化石油工程技术服务有限公司 Shale method for evaluating quality based on organic porosity and total content of organic carbon
CN107977480A (en) * 2017-10-18 2018-05-01 中石化石油工程技术服务有限公司 A kind of shale gas reservoir aerogenesis fast appraisement method
CN108222925A (en) * 2017-12-08 2018-06-29 中国石油集团川庆钻探工程有限公司 Shale gas reservoir grading integrated evaluating method
CN110318744A (en) * 2018-03-30 2019-10-11 中国石油化工股份有限公司 A method of for predicting shale gas resource
US20200018740A1 (en) * 2018-07-12 2020-01-16 Petrochina Company Limited Method, apparatus and system for determining sweet spot region for shale oil in-situ conversion development
US20200018145A1 (en) * 2018-07-12 2020-01-16 Petrochina Company Limited Shale oil in-situ lightening development method, apparatus and system
US20200173902A1 (en) * 2018-03-27 2020-06-04 Min Wang Evaluation method for hydrogen-bearing components, porosity and pore size distribution of organic-rich shale
US20200211126A1 (en) * 2018-12-29 2020-07-02 Petrochina Company Limited Prediction method for shale oil and gas sweet spot region, computer device and computer readable storage medium
CN111665272A (en) * 2019-03-08 2020-09-15 中国石油天然气集团有限公司 Reservoir physical property evaluation method and device based on triangular evaluation chart
US20210302403A1 (en) * 2020-03-27 2021-09-30 Dagang Oil Field Company Of Cnpc Shale brittleness sweet spot evaluation method
CN114167510A (en) * 2020-09-10 2022-03-11 中国石油化工股份有限公司 Method for determining clay mineral content of shale gas reservoir
CN114428166A (en) * 2020-09-29 2022-05-03 中国石油化工股份有限公司 Method and system for evaluating oil-gas-containing property of stratum
CN115749761A (en) * 2022-12-01 2023-03-07 中石化石油工程技术服务有限公司 Evaluation method based on shale oil and gas reservoir three-parameter evaluation chart

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104239703A (en) * 2014-09-03 2014-12-24 中石化江汉石油工程有限公司测录井公司 Quantitative analogical evaluation method for multiple parameters of shale gas reservoir
CN105134195A (en) * 2015-09-02 2015-12-09 中国石油天然气股份有限公司 Shale gas reservoir quality evaluation method based on logging information
CN105675468A (en) * 2016-01-15 2016-06-15 山东科技大学 Evaluation method of shale organic matter porosity
CN107120106A (en) * 2017-05-25 2017-09-01 中石化石油工程技术服务有限公司 Shale method for evaluating quality based on organic porosity and total content of organic carbon
CN107977480A (en) * 2017-10-18 2018-05-01 中石化石油工程技术服务有限公司 A kind of shale gas reservoir aerogenesis fast appraisement method
CN108222925A (en) * 2017-12-08 2018-06-29 中国石油集团川庆钻探工程有限公司 Shale gas reservoir grading integrated evaluating method
US20200173902A1 (en) * 2018-03-27 2020-06-04 Min Wang Evaluation method for hydrogen-bearing components, porosity and pore size distribution of organic-rich shale
CN110318744A (en) * 2018-03-30 2019-10-11 中国石油化工股份有限公司 A method of for predicting shale gas resource
US20200018145A1 (en) * 2018-07-12 2020-01-16 Petrochina Company Limited Shale oil in-situ lightening development method, apparatus and system
US20200018740A1 (en) * 2018-07-12 2020-01-16 Petrochina Company Limited Method, apparatus and system for determining sweet spot region for shale oil in-situ conversion development
US20200211126A1 (en) * 2018-12-29 2020-07-02 Petrochina Company Limited Prediction method for shale oil and gas sweet spot region, computer device and computer readable storage medium
CN111665272A (en) * 2019-03-08 2020-09-15 中国石油天然气集团有限公司 Reservoir physical property evaluation method and device based on triangular evaluation chart
US20210302403A1 (en) * 2020-03-27 2021-09-30 Dagang Oil Field Company Of Cnpc Shale brittleness sweet spot evaluation method
CN114167510A (en) * 2020-09-10 2022-03-11 中国石油化工股份有限公司 Method for determining clay mineral content of shale gas reservoir
CN114428166A (en) * 2020-09-29 2022-05-03 中国石油化工股份有限公司 Method and system for evaluating oil-gas-containing property of stratum
CN115749761A (en) * 2022-12-01 2023-03-07 中石化石油工程技术服务有限公司 Evaluation method based on shale oil and gas reservoir three-parameter evaluation chart

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
乔辉等: "页岩气储层关键参数评价及进展", 地质科技情报 *
李国荣等: "鄂尔多斯盆地陆相页岩气储层评价技术研究", 天然气与石油 *

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