CN111275273A - Method for predicting complexity of shale fracturing to form fracture network - Google Patents
Method for predicting complexity of shale fracturing to form fracture network Download PDFInfo
- Publication number
- CN111275273A CN111275273A CN202010189682.0A CN202010189682A CN111275273A CN 111275273 A CN111275273 A CN 111275273A CN 202010189682 A CN202010189682 A CN 202010189682A CN 111275273 A CN111275273 A CN 111275273A
- Authority
- CN
- China
- Prior art keywords
- shale
- brittleness
- mineral
- minerals
- brittle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 77
- 239000011707 mineral Substances 0.000 claims abstract description 77
- 239000010453 quartz Substances 0.000 claims abstract description 10
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims abstract description 10
- 229910021532 Calcite Inorganic materials 0.000 claims abstract description 8
- 229910052652 orthoclase Inorganic materials 0.000 claims abstract description 8
- 229910052655 plagioclase feldspar Inorganic materials 0.000 claims abstract description 8
- 229910052683 pyrite Inorganic materials 0.000 claims abstract description 8
- 239000011028 pyrite Substances 0.000 claims abstract description 8
- 229910000514 dolomite Inorganic materials 0.000 claims abstract description 7
- 239000010459 dolomite Substances 0.000 claims abstract description 7
- DLHONNLASJQAHX-UHFFFAOYSA-N aluminum;potassium;oxygen(2-);silicon(4+) Chemical compound [O-2].[O-2].[O-2].[O-2].[O-2].[O-2].[O-2].[O-2].[Al+3].[Si+4].[Si+4].[Si+4].[K+] DLHONNLASJQAHX-UHFFFAOYSA-N 0.000 claims abstract description 5
- NIFIFKQPDTWWGU-UHFFFAOYSA-N pyrite Chemical compound [Fe+2].[S-][S-] NIFIFKQPDTWWGU-UHFFFAOYSA-N 0.000 claims abstract description 5
- 230000002401 inhibitory effect Effects 0.000 claims description 2
- 230000002411 adverse Effects 0.000 claims 1
- 239000004927 clay Substances 0.000 claims 1
- 239000000126 substance Substances 0.000 abstract description 2
- 239000011435 rock Substances 0.000 description 6
- 230000000694 effects Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention discloses a method for predicting the complexity of a shale fracturing fracture network, which comprises the following steps: s1, determining the percentage of various minerals of the shale core, including quartz, orthoclase, plagioclase, pyrite, calcite, dolomite and other substances; s2, determining the standard amount to be 16.7% by using the brittle mineral type; s3, recalculating the percentage of each brittle mineral component by only considering the brittle minerals; s4, determining a phase difference k by using the standard amount and the newly determined percentage content of the minerals; s5, calculating the brittleness B of the brittle minerals; s6, finally, determining a brittleness index BI by combining with other minerals, wherein the larger the brittleness index BI value is, the more the number of cracks is, and the more complex the crack network formed by fracturing is. The invention provides a new prediction method for the complexity of forming a fracture network by shale fracturing.
Description
Technical Field
The invention relates to the technical field of oil and gas exploitation, in particular to a method for predicting the complexity of a fracture network formed by shale fracturing in a shale hydraulic fracturing process.
Background
Shale gas is an important component of unconventional oil and gas resources, and due to the huge resource amount and the clean characteristic of energy, the shale gas is widely valued and developed by people. Because the reservoir fracturing effect is closely related to the brittleness, the method for evaluating the complexity of the reservoir fracture by using the brittleness is a commonly used means at present, and the accurate knowledge of the brittleness of the target interval is favorable for better saving the cost and improving the yield.
Along with the high development of shale gas in various countries, the brittleness index is more and more established. Javie et al (2007) believe that the brittleness of shale depends on the proportion of brittle minerals, and mainly depends on the amount of quartz content to judge the brittleness of the stratum; richman et al (2008) performed experiments on a particular shale section to generate a scatter plot of young's modulus and brittleness, poisson's ratio and brittleness, and found that shale brittleness increases with decreasing poisson's ratio of the rock and increasing young's modulus; and the other main methods are that a mineral method and an elastic parameter method are simultaneously utilized for the stratum, and the predicted results of the mineral method and the elastic parameter method are fitted with the actual test conditions, so that the predicted results are closer to the true values.
In the actual case, the following problems occur when these methods are used:
(1) the main brittle substance of shale in different regions is not necessarily quartz, the brittleness of various minerals is difficult to determine, and the conventional mineral method is difficult to give an accurate prediction of the brittleness of the shale in the target interval.
(2) The elastic parameter method proposed by Rickman considers too few factors, namely the Poisson's ratio and the elastic modulus, however, the practical situation is that the confining pressure influences far the super elastic modulus and the Poisson's ratio with the increase of the depth of the shale interval, and the situations shown by different shale areas are different, so that the law among the mechanical parameters is difficult to find.
(3) The premise of adopting the fitting method is that a method with certain characteristic stratum brittleness is needed to support, when the mineral method and the elastic parameter method deviate from the actual situation, the fitting effect is not good, and the fitting method has certain probability and risks.
In general, the methods used in the prior art have regional limitations, and the methods used in different regions have great diversity and are not generally applicable.
Disclosure of Invention
The invention aims to solve the problems that the existing method has great difference and no universal applicability when being used in different areas, and provides a novel method for predicting the complexity of fracture network formation in shale hydraulic fracturing in the shale hydraulic fracturing process.
The invention provides a method for predicting the complexity of a seam network formed by shale fracturing, which comprises the following steps:
s1, determining the percentage content of each mineral component of the shale core sample: the percentage contents of the six brittle mineral components of quartz, orthoclase, plagioclase, pyrite, calcite and dolomite are respectively recorded as: m is1、m2、m3、m4、m5、m6(ii) a The content of other mineral components is m7(ii) a The other minerals of (a) refer to all minerals, including clays, which have an inhibitory effect on mineral brittleness; m is1+m2+m3+m4+m5+m6+m7＝100％。
S2, determining standard quantity: the standard quantity is equal to the percentage content of various brittle minerals when the mineral heterogeneity reaches the strongest; the brittle minerals in shale are six kinds of quartz, orthoclase, plagioclase, pyrite, calcite and dolomite, the more average the content of each mineral, the stronger the heterogeneity of the minerals, and assuming that shale is completely composed of six brittle minerals, when the average content of each brittle mineral is 16.7%, the heterogeneity is the strongest, so the standard amount is defined as 16.7%.
S3, re-determining the percentage of brittle minerals: the percentage of all six mineral components with a certain brittleness is redetermined and calculated as m1+m2+m3+m4+m5+m6The sum is denominator m1、m2、m3、m4、m5、m6Respectively used as molecules, and the percentage contents of six brittle mineral components are obtained by recalculation: quartz a1Orthoclase a2Plagioclase a3Pyrite a4Calcite a5Dolomite a6(ii) a Is calculated by the formula
And i is 1, 2, 3, 4, 5 and 6 respectively.
S4, calculating the phase difference k which is equal to the sum of the absolute values of the differences between the percentage contents of various brittle minerals and the standard quantity, wherein the calculation formula is
S5, determining the brittleness expression B of the brittle mineral: as can be seen from the calculation formula of the phase difference amount k, the larger the phase difference amount is, the weaker the mineral heterogeneity is, and the weakest is that only one mineral exists, where k is 5/3; when the phase difference amount is zero, the mineral heterogeneity is strongest; from this, it is found that the brittleness of the brittle mineral is inversely proportional to the phase difference, the brittleness value B is changed between 0 and 1, the point with the strongest brittleness and the point with the weakest brittleness can be determined by combining k, and then an expression can be obtained,
s6, determining a final brittleness expression BI: because other mineral components exist in the shale, the brittleness of the shale is reversely influenced, and the percentage content m of other minerals is defined7For ineffective content, m is in the available shale7The area of (1) is a brittleness ineffective area, and the final brittleness expression BI ═ B · (1-m) of the shale is obtained7). The larger the value of the brittleness index BI, the larger the number of cracks, and the more complex the fracture network formed by fracturing.
Preferably, in step S1, the contents of the six brittle mineral components (m)1、m2、m3、m4、m5、m6) All measured by an X-ray diffractometer. Content m of other mineral components7＝100％-m1-m2-m3-m4-m5-m6。
Compared with the prior art, the invention has the advantages that:
the method of the invention utilizes the heterogeneity of mineral mechanics to equalize and average the mineral characteristics and mechanical characteristics in the shale to obtain a moderate brittleness rule, and the idea provides a method with a certain rule for the complex degree of crack propagation for a target reservoir stratum, thereby solving the problem that the prior art method has no universal applicability.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Detailed Description
The following description of the preferred embodiments of the present invention is provided for the purpose of illustration and description, and is in no way intended to limit the invention.
The method for predicting the complexity of the fracture network formed by shale fracturing is applied to the test of a specific shale sample, and comprises the following specific steps:
(1) 10 rock cores of the Yong Pi 2 well are taken for rock mineral analysis, the number is 1-10, for convenient calculation, the total detection mass of the core sample is 100 g, an X-ray diffractometer is adopted to measure the content of various brittle mineral components, the specific data are shown in Table 1, and the percentage content of each component can be simply obtained.
TABLE 1 rock mineral composition
(2) The standard amount was determined to be 16.7%.
(3) Recalculating to determine the percentage content of the brittle minerals; the total of the percentage contents of the six brittle minerals is used as a denominator, the percentage contents of the various brittle minerals are respectively used as numerators, and the new percentage contents of the six brittle mineral components are obtained by recalculation: quartz a1Orthoclase a2Plagioclase a3Pyrite a4Calcite a5Dolomite a6As shown in table 2. The denominator of the percentage content of other minerals is the total mass m, and the sum of the phase differences is calculated as shown in the following table 2.
TABLE 2 rock mineral percentages
(4) Calculating the phase difference k which is equal to the sum of the absolute values of the differences between the percentage contents of various brittle minerals and the standard quantity, wherein the calculation formula is
The calculated k value is shown in Table 3.
(5) Calculating the brittleness B of the brittle minerals by the following formula
The calculation results are shown in Table 3.
TABLE 3 calculated values of phase difference k and brittleness B
| Numbering | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| k | 1.197 | 1.111 | 0.952 | 1.004 | 0.934 | 0.900 | 0.889 | 0.964 | 1.028 | 1.271 |
| B | 0.2818 | 0.3334 | 0.4288 | 0.3976 | 0.4396 | 0.4600 | 0.4666 | 0.4216 | 0.3832 | 0.2374 |
(6) According to the formula BI ═ B · (1-m)7) And calculating the final brittleness BI of the shale, which is shown in a table 4, and adding the number of actually-measured cracks generated on the rock core. As can be seen from table 4, the trend of the brittleness index BI coincides with the trend of the number of cracks. The smaller the value of the brittleness index BI, the smaller the number of cracks, and the fracture formedThe simpler the seamed mesh. The larger the value of the brittleness index BI, the larger the number of cracks, and the more complex the fracture network formed by fracturing.
TABLE 4 brittleness index BI
| Numbering | Brittleness index BI | Number of cracks |
| 1 | 0.175 | 4 |
| 2 | 0.199 | 3 |
| 3 | 0.275 | 5 |
| 4 | 0.257 | 4 |
| 5 | 0.295 | 8 |
| 6 | 0.297 | 7 |
| 7 | 0.287 | 6 |
| 8 | 0.252 | 8 |
| 9 | 0.274 | 2 |
| 10 | 0.172 | 2 |
In conclusion, the new prediction method for the complexity degree of the fracture network formed by the shale fracturing in the shale hydraulic fracturing process is provided. The method has simple steps, can not be limited by regions in use, and has universal applicability to various unused areas.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A method for predicting the complexity of a fracture network formed by shale fracturing is characterized by comprising the following steps:
s1, determining the percentage content of each mineral component of the shale core sample, and respectively recording the percentage content of six brittle mineral components of quartz, orthoclase, plagioclase, pyrite, calcite and dolomiteComprises the following steps: m is1、m2、m3、m4、m5、m6(ii) a The content of other mineral components is m7；
S2, determining the standard quantity to be 16.7%;
s3, re-determining the percentage of brittle minerals in terms of m1+m2+m3+m4+m5+m6The sum is denominator m1、m2、m3、m4、m5、m6Respectively used as molecules, and the percentage contents of six brittle mineral components are obtained by recalculation: quartz a1Orthoclase a2Plagioclase a3Pyrite a4Calcite a5Dolomite a6；
S4, calculating the phase difference k which is equal to the sum of the absolute values of the differences between the percentage contents of various brittle minerals and the standard quantity, wherein the calculation formula is
S5, determining the brittleness expression B of the brittle mineral,
s6, determining a final brittleness expression BI, wherein BI is B (1-m)7) The larger the value of the brittleness index BI is, the larger the number of cracks is, and the more complex the crack network formed by fracturing is.
2. The method for predicting the complexity of the fracture network formed by fracturing shale according to claim 1, wherein the other minerals are all minerals which have an inhibiting effect on the brittleness of the minerals, including clay.
3. The method for predicting the complexity of the fracture network formed in the shale fracturing process according to claim 1, wherein in the step S1, the contents of the six brittle mineral components are measured by an X-ray diffractometer.
4. The method for predicting the complexity of the fracture network formed in the shale fracturing process according to claim 3, wherein in the step S1, the content m of other mineral components7＝100％-m1-m2-m3-m4-m5-m6。
5. The method for predicting the complexity of the fracture network formed by the shale fracturing of the shale as claimed in claim 1, wherein in step S2, the standard quantity is equal to the percentage content of each brittle mineral when the mineral heterogeneity reaches the strongest; the brittle minerals in shale are six kinds of quartz, orthoclase, plagioclase, pyrite, calcite and dolomite, the more average the content of each mineral, the stronger the heterogeneity of the minerals, and assuming that shale is completely composed of six brittle minerals, when the average content of each brittle mineral is 16.7%, the heterogeneity is the strongest, so the standard amount is defined as 16.7%.
6. The method for predicting the complexity of the fracture network formed by fracturing shale according to claim 1, wherein in step S5, as shown by the calculation formula of the phase difference amount k, the larger the phase difference amount is, the weaker the mineral heterogeneity is, and the weakest is that only one mineral exists, where k is 5/3; when the phase difference amount is zero, the mineral heterogeneity is strongest; from this, it is found that the brittleness of the brittle mineral is inversely proportional to the phase difference, the brittleness value B is changed between 0 and 1, the point with the strongest brittleness and the point with the weakest brittleness can be determined by combining k, and then an expression can be obtained,
7. the method for predicting the complexity of the fracture network formed in the shale fracturing process as claimed in claim 1, wherein in the step S6, the brittleness of the shale is adversely affected due to the existence of other mineral components in the shale, and the percentage m of other minerals is defined7For ineffective content, m is in the available shale7The area of (1) is a brittleness ineffective area, and the final brittleness expression BI ═ B · (1-m) of the shale is obtained7)。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010189682.0A CN111275273B (en) | 2020-03-18 | 2020-03-18 | Method for predicting complexity of shale fracturing to form fracture network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010189682.0A CN111275273B (en) | 2020-03-18 | 2020-03-18 | Method for predicting complexity of shale fracturing to form fracture network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111275273A true CN111275273A (en) | 2020-06-12 |
| CN111275273B CN111275273B (en) | 2022-06-10 |
Family
ID=71002606
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010189682.0A Active CN111275273B (en) | 2020-03-18 | 2020-03-18 | Method for predicting complexity of shale fracturing to form fracture network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111275273B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113138107A (en) * | 2021-04-15 | 2021-07-20 | 东北石油大学 | Rock brittleness evaluation method based on while-drilling rock debris logging information |
| CN114859009A (en) * | 2022-03-22 | 2022-08-05 | 中国石油大学(北京) | Shale lithofacies division method and device based on rock macro-micro characteristics |
| CN116698577A (en) * | 2023-04-27 | 2023-09-05 | 兰州城市学院 | Quantitative evaluation method for potential of formation of complex fracture network by shale oil reservoir volume fracturing |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012132902A (en) * | 2010-12-01 | 2012-07-12 | Sumitomo Metal Ind Ltd | Method and system for predicting break determination value of spot welding part, and method for manufacturing member including spot welding part |
| CN104406849A (en) * | 2014-11-21 | 2015-03-11 | 中国石油天然气股份有限公司 | Prediction method and device for brittleness of reservoir rock |
| CN106600436A (en) * | 2016-11-28 | 2017-04-26 | 中国石油集团川庆钻探工程有限公司 | Mineral ingredient content and porosity calculating method for shale gas stratum |
| CN106872260A (en) * | 2017-03-09 | 2017-06-20 | 成都理工大学 | A kind of acquisition methods of rock brittleness index and the brittleness evaluation method of rock |
| CN108593436A (en) * | 2018-05-11 | 2018-09-28 | 北京石油化工学院 | A method of compact reservoir compressibility is evaluated based on stress-strain diagram |
| CN109632459A (en) * | 2018-11-14 | 2019-04-16 | 中石化重庆涪陵页岩气勘探开发有限公司 | A kind of shale compressibility evaluation method |
| CN110552690A (en) * | 2018-05-30 | 2019-12-10 | 中国石油化工股份有限公司 | Shale reservoir brittleness evaluation method |
| CN110715859A (en) * | 2019-10-23 | 2020-01-21 | 成都理工大学 | Brittleness index evaluation method based on elastic-plastic deformation and fracture strength |
-
2020
- 2020-03-18 CN CN202010189682.0A patent/CN111275273B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012132902A (en) * | 2010-12-01 | 2012-07-12 | Sumitomo Metal Ind Ltd | Method and system for predicting break determination value of spot welding part, and method for manufacturing member including spot welding part |
| CN104406849A (en) * | 2014-11-21 | 2015-03-11 | 中国石油天然气股份有限公司 | Prediction method and device for brittleness of reservoir rock |
| CN106600436A (en) * | 2016-11-28 | 2017-04-26 | 中国石油集团川庆钻探工程有限公司 | Mineral ingredient content and porosity calculating method for shale gas stratum |
| CN106872260A (en) * | 2017-03-09 | 2017-06-20 | 成都理工大学 | A kind of acquisition methods of rock brittleness index and the brittleness evaluation method of rock |
| CN108593436A (en) * | 2018-05-11 | 2018-09-28 | 北京石油化工学院 | A method of compact reservoir compressibility is evaluated based on stress-strain diagram |
| CN110552690A (en) * | 2018-05-30 | 2019-12-10 | 中国石油化工股份有限公司 | Shale reservoir brittleness evaluation method |
| CN109632459A (en) * | 2018-11-14 | 2019-04-16 | 中石化重庆涪陵页岩气勘探开发有限公司 | A kind of shale compressibility evaluation method |
| CN110715859A (en) * | 2019-10-23 | 2020-01-21 | 成都理工大学 | Brittleness index evaluation method based on elastic-plastic deformation and fracture strength |
Non-Patent Citations (3)
| Title |
|---|
| 秦晓艳等: "基于岩石物理与矿物组成的页岩脆性评价新方法", 《天然气地球科学》 * |
| 赖富强等: "综合矿物组分和弹性力学参数的页岩脆性评价方法", 《断块油气田》 * |
| 钟城等: "川东南丁山地区龙马溪组富有机质页岩脆性评价", 《地质科技情报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113138107A (en) * | 2021-04-15 | 2021-07-20 | 东北石油大学 | Rock brittleness evaluation method based on while-drilling rock debris logging information |
| CN114859009A (en) * | 2022-03-22 | 2022-08-05 | 中国石油大学(北京) | Shale lithofacies division method and device based on rock macro-micro characteristics |
| CN116698577A (en) * | 2023-04-27 | 2023-09-05 | 兰州城市学院 | Quantitative evaluation method for potential of formation of complex fracture network by shale oil reservoir volume fracturing |
| CN116698577B (en) * | 2023-04-27 | 2024-03-01 | 兰州城市学院 | Quantitative evaluation method for potential of formation of complex fracture network by shale oil reservoir volume fracturing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111275273B (en) | 2022-06-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111275273B (en) | Method for predicting complexity of shale fracturing to form fracture network | |
| CN109632459B (en) | Shale fracturing property evaluation method | |
| CN105626025A (en) | Fracturing evaluation method for shale reservoir fracturing | |
| CN111027818A (en) | Shale oil classification evaluation method | |
| CN107505344A (en) | The lithologic interpretation method of " least square product " method of utilization | |
| CN110485978B (en) | Shale brittleness evaluation method based on mechanical heterogeneity | |
| CN108661628B (en) | Parameter optimization-based engineering dessert quantitative evaluation method | |
| CN111429012A (en) | Shale brittle dessert evaluation method | |
| CN110320571B (en) | Compact sandstone reservoir rock brittleness logging evaluation method | |
| CN107133879B (en) | Method for screening similar oil fields | |
| CN112282742B (en) | Prediction method for shale oil high-quality reservoir | |
| CN114371509A (en) | Well leakage evaluation method based on comprehensive index method | |
| Elkateb et al. | CPT-SPT correlations for calcareous sand in the Persian Gulf area | |
| CN108661629B (en) | Engineering dessert quantitative evaluation method for shale stratum | |
| CN113030440B (en) | Method for predicting fracture brittleness index of shale in hydraulic fracturing process of shale | |
| CN116541933A (en) | Method for evaluating single-ring service performance of shield tunnel with multiple disease indexes | |
| Ezeakacha et al. | An advanced coupled rock–fluid computational model for dynamic–radial mud filtration with experimental validation | |
| CN111695274A (en) | Gravel reservoir strength size effect evaluation method based on numerical core | |
| CN115522916A (en) | Sand production prediction method for tight sandstone fracturing production gas well | |
| CN112036048A (en) | Water-gas reservoir water invasion dominant channel identification method based on multi-factor influence | |
| CN113189647A (en) | Method for predicting formation brittleness index of transverse isotropic shale | |
| CN109296358B (en) | Well bore quality evaluation method for well cementation | |
| CN113720745A (en) | Method for calculating porosity of reservoir stratum containing carbon debris by geophysical logging | |
| CN106326620A (en) | Optimized selection method for diagenetic coefficient model of exploration target distribution range | |
| CN114167510A (en) | Method for determining clay mineral content of shale gas reservoir |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |