CN111366753A - Microcosmic identification method for shale organic matter pore types - Google Patents
Microcosmic identification method for shale organic matter pore types Download PDFInfo
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- 239000011148 porous material Substances 0.000 title claims abstract description 129
- 239000005416 organic matter Substances 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 28
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 32
- 239000011707 mineral Substances 0.000 claims abstract description 32
- 238000011065 in-situ storage Methods 0.000 claims abstract description 22
- 238000003384 imaging method Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000005498 polishing Methods 0.000 claims abstract description 11
- 239000010426 asphalt Substances 0.000 claims description 30
- 239000000523 sample Substances 0.000 claims description 20
- 239000004215 Carbon black (E152) Substances 0.000 claims description 14
- 229930195733 hydrocarbon Natural products 0.000 claims description 14
- 150000002430 hydrocarbons Chemical class 0.000 claims description 14
- 239000011159 matrix material Substances 0.000 claims description 13
- 238000011161 development Methods 0.000 claims description 12
- 238000001000 micrograph Methods 0.000 claims description 10
- 239000002245 particle Substances 0.000 claims description 9
- 238000001125 extrusion Methods 0.000 claims description 6
- 238000000089 atomic force micrograph Methods 0.000 claims description 4
- 238000013508 migration Methods 0.000 claims description 4
- 230000005012 migration Effects 0.000 claims description 4
- 239000012798 spherical particle Substances 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 239000000835 fiber Substances 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 230000003287 optical effect Effects 0.000 claims description 2
- 238000006116 polymerization reaction Methods 0.000 claims description 2
- 229910052683 pyrite Inorganic materials 0.000 claims description 2
- 239000011028 pyrite Substances 0.000 claims description 2
- NIFIFKQPDTWWGU-UHFFFAOYSA-N pyrite Chemical compound [Fe+2].[S-][S-] NIFIFKQPDTWWGU-UHFFFAOYSA-N 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 10
- XKRFYHLGVUSROY-UHFFFAOYSA-N argon Substances [Ar] XKRFYHLGVUSROY-UHFFFAOYSA-N 0.000 abstract description 6
- 229910052786 argon Inorganic materials 0.000 abstract description 6
- -1 argon ion Chemical class 0.000 description 4
- 238000004630 atomic force microscopy Methods 0.000 description 3
- 239000007789 gas Substances 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 239000008188 pellet Substances 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004626 scanning electron microscopy Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000004931 aggregating effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000005056 compaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000010453 quartz Substances 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01Q—SCANNING-PROBE TECHNIQUES OR APPARATUS; APPLICATIONS OF SCANNING-PROBE TECHNIQUES, e.g. SCANNING PROBE MICROSCOPY [SPM]
- G01Q60/00—Particular types of SPM [Scanning Probe Microscopy] or microscopes; Essential components thereof
- G01Q60/24—AFM [Atomic Force Microscopy] or apparatus therefor, e.g. AFM probes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/32—Polishing; Etching
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01Q—SCANNING-PROBE TECHNIQUES OR APPARATUS; APPLICATIONS OF SCANNING-PROBE TECHNIQUES, e.g. SCANNING PROBE MICROSCOPY [SPM]
- G01Q30/00—Auxiliary means serving to assist or improve the scanning probe techniques or apparatus, e.g. display or data processing devices
- G01Q30/02—Non-SPM analysing devices, e.g. SEM [Scanning Electron Microscope], spectrometer or optical microscope
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01Q—SCANNING-PROBE TECHNIQUES OR APPARATUS; APPLICATIONS OF SCANNING-PROBE TECHNIQUES, e.g. SCANNING PROBE MICROSCOPY [SPM]
- G01Q30/00—Auxiliary means serving to assist or improve the scanning probe techniques or apparatus, e.g. display or data processing devices
- G01Q30/20—Sample handling devices or methods
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N2015/0846—Investigating permeability, pore-volume, or surface area of porous materials by use of radiation, e.g. transmitted or reflected light
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Abstract
The invention discloses a microcosmic identification method for shale organic matter pore types. According to the method, a scanning electron microscope is used for observing and describing the shale sample after argon ion polishing, and the type of the organic matter is judged according to the form of the organic matter and the associated minerals. And then carrying out in-situ observation by using an atomic force microscope, and distinguishing different kerogen types in the organic matters according to the difference of the surface structure of the organic matters. On the basis of distinguishing organic matter types, identifying different shale organic matter pore types, and obtaining pore quantitative parameters by an image processing technology; finally, a shale organic matter pore type microscopic identification method based on shale argon ion polishing-scanning electron microscope-atomic force microscope imaging is formed.
Description
Technical Field
The invention relates to the field of petroleum geology, in particular to a microcosmic identification method for the pore type of shale organic matter.
Background
Shale pores are the main reservoir space of shale gas, and the characteristics of the micro-pore structure of the shale pores are important parameters of shale reservoirs. The exploration and development practice of shale gas shows that the development condition of the micro-pore structure has great influence on the yield of the shale gas, so that the characterization technology of the micro-pore structure of the shale is particularly important.
Shale develops rich nano-scale pores, but causes are complex and types are various, so that scholars at home and abroad carry out a great deal of research on the nano-scale pores, but the geological conditions in different regions are different, the pore characteristics are also obviously different, and therefore the division basis and the types of the pores are not uniform. Foreign scholars do not provide a specific division scheme when researching the micro-pore structure of the shale, and only the International Union of Pure and Applied Chemistry (IUPAC) divides pores into micropores (< 2nm), mesopores (2-50 nm) and macrocells (> 50nm) according to the pore size. While the domestic scholars divide the shale storage space according to the development position and the cause of pores, the relation between mineral substances and organic matters, the form and the cause of pores, the connectivity of pores, the fractal characteristics of pores and the like, and mainly divide the shale storage space into three categories, namely inorganic pores, organic pores and microcracks. The subclasses of inorganic pores are finely divided, but classification of organic pores is not involved. While for shale reservoir spaces, organic matter pores are one of its most major contributors, accurate definition and description of them is the key to further study of shale micro-pore structure.
The experimental techniques mainly used in the current research include argon ion polishing, scanning electron microscopy, atomic force microscopy, nano-CT, liquid nitrogen adsorption, high-pressure mercury intrusion and the like. The biggest problems faced are: how to effectively identify the organic matter type and further accurately divide organic matter pores. The current experimental technical situation shows that the organic matter type is difficult to be accurately identified only by a certain experimental technology, and the organic matter type and the kerogen type are identified and distinguished from different angles by combining multiple technologies.
Disclosure of Invention
The invention aims to provide a method for dividing, identifying and judging shale organic matter pore types by mainly scanning electron microscope analysis and by assisting other experimental technologies, and solves the problem of accurately identifying, judging and dividing organic matter pores.
In order to achieve the purpose, the technical scheme of the invention is to provide a microcosmic identification method for shale organic matter pore types, which comprises the steps of sample polishing treatment, scanning electron microscope imaging, atomic force microscope in-situ imaging, image processing and organic matter pore identification.
The sample polishing treatment in the step (1) is to perform cross section or surface polishing treatment on the shale sample;
step (2) scanning electron microscope imaging, namely placing the polished shale sample in a scanning electron microscope, observing the development condition of shale organic matter pores, acquiring and describing a high-resolution image, and identifying the types of organic matters, including kerogen and secondary asphalt, wherein the kerogen is a blocky or strip organic matter, the organic matter which is deposited in situ and does not migrate is not generated, associated minerals are not generated inside, and part of the kerogen is reserved with an original matrix shape; most of the secondary asphalt is angular organic matters which are filled among mineral particles after migration, and part of the secondary asphalt is of a blocky ant-observing cave structure and is internally associated with minerals;
in the step (3), atomic force microscope in-situ imaging is to obtain a high-resolution image imaged in situ by the same scanning electron microscope, describe the development condition of pores, and distinguish different kerogen types, including amorphous kerogen and structural kerogen, wherein the difference between the amorphous kerogen and the structural kerogen is that whether the original structure of a matrix is reserved in an organic matter per se or not, wherein the amorphous kerogen is reserved without the matrix structure, and the structural kerogen is reserved with the matrix structure;
the image processing in the step (4) is quantitative representation of the image, and the high-resolution image in the step (3) is subjected to image processing to obtain related parameters of the pore;
and (5) identifying organic matter pores, namely defining four types of shale organic matter pores on the basis of the organic matter types, and giving judgment and identification standards.
The resolution of the obtained scanning electron microscope image is more than or equal to 3072 × 2304, the described content includes organic matter form, organic matter associated minerals, pore form and microcrack development condition, the identification of kerogen and secondary asphalt is based on the organic matter shape and associated minerals, the block or strip organic matter is in-situ deposited kerogen, and the prismatic or filled organic matter between mineral particles is secondary asphalt.
The kerogen types are distinguished according to atomic force microscope images, and different kerogen types are distinguished according to whether the original structural characteristics of the parent matrix are reserved on the surface of the organic matter on the images, wherein the structural characteristics comprise a fiber-network framework structure or a strip-shaped framework extrusion structure on the surface of the organic matter.
The pore related parameters of the image processing include average pore diameter, pore roundness, pore density, and areal porosity.
The organic matter pore identification comprises a kerogen hydrocarbon generation pore, a kerogen structure pore, an asphalt hydrocarbon generation pore and an asphalt spherical particle pore, the basis for judging and identifying the kerogen hydrocarbon generation pore comprises that organic matters are amorphous kerogen, the pores are formed under the hydrocarbon generation action, belong to secondary pores and have high roundness; the basis for judging and identifying the kerogen structural hole comprises that organic matters are structural kerogen, the organic matters have a fiber web-shaped framework structure, pores are formed by hydrocarbon action and belong to secondary pores with high roundness, or the organic matters have a strip-shaped framework structure, the pores are generated by extrusion of an original structure and belong to primary pores with edges and corners; the basis for judging and identifying the hydrocarbon-generating holes of the asphalt comprises that organic matters are over-migrated and filled among mineral particles in an angular shape, other minerals are associated inside the hydrocarbon-generating holes, a pore network is similar to an ant cave shape, the pores belong to secondary pores, and the roundness of the pores is lower than that of kerogen pores; the judgment and identification of the pores of the asphalt spheres are based on the polymerization and extrusion of organic matters such as a cluster of spheres, most pores are primary pores, and the roundness of the pores is low and is in an angular shape.
In the in-situ imaging, under the condition of a scanning electron microscope, a distance measuring tool is used for positioning and measuring a target area or a target position of an object in a scanning electron microscope image, and the position information of a target plane of the target area or the object in the scanning electron microscope image is determined by photographing, recording and determining; and under the condition of the atomic force microscope, determining the target position by contrasting the target plane position information recorded in the scanning electron microscope image, and acquiring the atomic force microscope image with high resolution.
Under the condition of a scanning electron microscope, the method for determining the position information of the target plane is to find local structures and/or different minerals around the target as markers after the position of a target area is determined, select the number of the markers to be more than or equal to 2, measure the distance from the target to the markers, establish a two-dimensional coordinate system and obtain the accurate position information of the target plane.
The local formation includes sample edges, polished face boundaries or microcracks, with the different minerals being pyrite.
Under the condition of an atomic force microscope, the method for determining the position of the target comprises the steps of presenting an image amplified by 100 times on the surface of a sample in a computer display through an optical lens and a CCD (charge coupled device) probe arranged on the atomic force microscope, taking the length of one side of a cross wire in the center of the image as 100 mu m as a measurement unit, and moving a probe to the position above the target by contrasting the position information of a target plane shot under a scanning electron microscope image.
According to the method, a scanning electron microscope is used for observing and describing the shale sample after argon ion polishing, and the type of the organic matter is judged according to the form of the organic matter and the associated minerals. And then carrying out in-situ observation by using an atomic force microscope, and distinguishing different kerogen types in the organic matters according to the difference of the surface structure of the organic matters. On the basis of distinguishing organic matter types, different shale organic matter pore types are identified, and pore quantitative parameters are obtained through an image processing technology. Finally, the shale organic matter pore type identification method based on shale argon ion polishing-scanning electron microscope-atomic force microscope imaging is formed.
The invention has the advantages that: a set of highly-instructive method for distinguishing organic matter types is formed by utilizing scanning electron microscopy and atomic force microscopy in-situ imaging technologies, then the development degree of organic matter pores of shale is quantitatively represented through an image processing technology, and different organic matter pore types of shale can be accurately identified and distinguished by combining the organic matter types.
Drawings
FIG. 1 is an amorphous kerogen;
FIG. 2 is a structural kerogen having a stripe structure;
FIG. 3 is a structural kerogen having a web-like construction;
FIG. 4 is an in situ secondary asphalt;
FIG. 5 is a diagram of transporting secondary bitumen;
FIG. 6 is pellet secondary asphalt;
FIG. 7 is a fine description of the pore development characteristics of shale;
FIG. 8 is a shale organic pore type, wherein a, b are kerogen hydrocarbon pores, c, d are kerogen structure pores, e, f are bitumen hydrocarbon pores, g, h are sphere secondary bitumen pores.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In the embodiment, as shown in fig. 1 to 8, in the case of a yu southeast area, the lemma dragon creek group shale sample is taken as an example, and the method for identifying the organic matter pore of the shale comprises the following steps:
(1) and (3) sample polishing treatment: organic matters in shale samples in the southeast area of Yu mainly develop nano-scale pores, and the samples need to be subjected to argon ion polishing in a scanning electron microscope and an atomic force microscope for imaging.
(2) Imaging by a scanning electron microscope and an atomic force microscope: and carrying out in-situ imaging of a scanning electron microscope and an atomic force microscope on the polished sample, describing the shale organic matter form and associated minerals in detail, and judging and identifying the organic matter type according to the form. The organic matter in block or strip shape without other minerals is mostly kerogen deposited in situ, and can be subdivided into amorphous kerogen and structural kerogen. The organic matters in the shapes of spherical particles, angular particles or filled among mineral particles are mostly secondary asphalt.
① amorphous kerogen is in the form of lumps or strips, no other minerals inside, no migration, no other structures in atomic force microscopy imaging, and kerogen formed in situ (FIG. 1).
② structural kerogen, which retains most of the original matrix structure and shape, can be divided into two types:
a. the organic matrix has a strip-like structure with pores formed by compaction of the strip-like structure (fig. 2).
b. The organic matrix has a web-like configuration (fig. 3).
③ bulk secondary bitumen, which can be divided into in-situ secondary bitumen and transport secondary bitumen according to morphology and associated minerals.
a. In-situ secondary asphalt: blocky or strip-shaped, the interior of the block-shaped or strip-shaped ant nest structure is mixed with other minerals, migration does not occur, and the ant nest structure of the parent substance can still be seen after the partial enlargement (figure 4).
b. Transporting secondary asphalt: angular and irregular shapes are mostly filled in mineral particles or mineral crystal planes after later hydrocarbon generation (fig. 5).
④ pellet secondary asphalt, organic matter is formed by aggregating small lumps of organic matter, pores develop between the lumps and are in irregular angular shape (figure 6), and the lumps are filled with common quartz minerals.
(3) And (3) quantitative characterization of images: the high resolution image is subjected to image processing to obtain the relevant parameters of the pores (fig. 7).
(4) Organic matter pore identification: based on the organic matter type, four types of shale organic matter pores are defined (fig. 8), and detailed judgment and identification criteria are given (table 1).
Table 1 organic matter pore type
The method has the advantages that a set of highly-instructive method for distinguishing the organic matter types is formed by utilizing the in-situ imaging technology of the scanning electron microscope and the atomic force microscope, then the development degree of organic matter pores of the shale is quantitatively represented through the image processing technology, and different organic matter pore types of the shale can be accurately identified, defined and represented by combining the organic matter types.
Claims (10)
1. A microcosmic identification method for shale organic matter pore types comprises the steps of sample polishing treatment, scanning electron microscope imaging, atomic force microscope in-situ imaging, image processing and organic matter pore identification.
2. The microscopic identification method of shale organic matter pore types according to claim 1, characterized in that:
the sample polishing treatment in the step (1) is to perform cross section or surface polishing treatment on the shale sample;
step (2) scanning electron microscope imaging, namely placing the polished shale sample in a scanning electron microscope, observing the development condition of shale organic matter pores, acquiring and describing a high-resolution image, and identifying the types of organic matters, including kerogen and secondary asphalt, wherein the kerogen is a blocky or strip organic matter, the organic matter which is deposited in situ and does not migrate is not generated, associated minerals are not generated inside, and part of the kerogen is reserved with an original matrix shape; most of the secondary asphalt is angular organic matters which are filled among mineral particles after migration, and part of the secondary asphalt is of a blocky ant-observing cave structure and is internally associated with minerals;
in the step (3), atomic force microscope in-situ imaging is to obtain a high-resolution image imaged in situ by the same scanning electron microscope, describe the development condition of pores, and distinguish different kerogen types, including amorphous kerogen and structural kerogen, wherein the difference between the amorphous kerogen and the structural kerogen is that whether an organic matter per se retains an original structure of a matrix or not, wherein the kerogen structure which does not retain the matrix structure is kerogen hydrocarbon root, and the kerogen structure which retains the matrix structure is a pore of the kerogen structure;
the image processing in the step (4) is quantitative representation of the image, and the high-resolution image in the step (3) is subjected to image processing to obtain related parameters of the pore;
and (5) identifying organic matter pores, namely defining four types of shale organic matter pores on the basis of the organic matter types, and giving judgment and identification standards.
3. The microscopic identification method of shale organic matter pore types according to claim 1 or 2, characterized in that: the resolution of the obtained scanning electron microscope image is more than or equal to 3072 × 2304, the described content includes organic matter form, organic matter associated minerals, pore form and microcrack development condition, the identification of kerogen and secondary asphalt is based on the organic matter shape and associated minerals, the block or strip organic matter is in-situ deposited kerogen, and the prismatic or filled organic matter between mineral particles is secondary asphalt.
4. The microscopic identification method of shale organic matter pore types according to claim 1 or 2, characterized in that: the kerogen types are distinguished according to atomic force microscope images, and different kerogen types are distinguished according to whether the original structural characteristics of the parent matrix are reserved on the surface of the organic matter on the images, wherein the structural characteristics comprise a fiber-network framework structure or a strip-shaped framework extrusion structure on the surface of the organic matter.
5. The microscopic identification method of shale organic matter pore types according to claim 2, characterized in that: the pore related parameters of the image processing include average pore diameter, pore roundness, pore density, and areal porosity.
6. The microscopic identification method of shale organic matter pore types according to claim 1 or 2, characterized in that: the organic matter pore identification comprises a kerogen hydrocarbon generation pore, a kerogen structure pore, an asphalt hydrocarbon generation pore and an asphalt spherical particle pore, the basis for judging and identifying the kerogen hydrocarbon generation pore comprises that organic matters are amorphous kerogen, the pores are formed under the hydrocarbon generation action, belong to secondary pores and have high roundness; the basis for judging and identifying the kerogen structural hole comprises that organic matters are structural kerogen, the organic matters have a fiber web-shaped framework structure, pores are formed by hydrocarbon action and belong to secondary pores with high roundness, or the organic matters have a strip-shaped framework structure, the pores are generated by extrusion of an original structure and belong to primary pores with edges and corners; the basis for judging and identifying the hydrocarbon-generating holes of the asphalt comprises that organic matters are over-migrated and filled among mineral particles in an angular shape, other minerals are associated inside the hydrocarbon-generating holes, a pore network is similar to an ant cave shape, the pores belong to secondary pores, and the roundness of the pores is lower than that of kerogen pores; the judgment and identification of the pores of the asphalt spheres are based on the polymerization and extrusion of organic matters such as a cluster of spheres, most pores are primary pores, and the roundness of the pores is low and is in an angular shape.
7. The microscopic identification method of shale organic matter pore types according to claim 1 or 2, characterized in that: in the in-situ imaging, under the condition of a scanning electron microscope, a distance measuring tool is used for positioning and measuring a target area or a target position of an object in a scanning electron microscope image, and the position information of a target plane of the target area or the object in the scanning electron microscope image is determined by photographing, recording and determining; and under the condition of the atomic force microscope, determining the target position by contrasting the target plane position information recorded in the scanning electron microscope image, and acquiring the atomic force microscope image with high resolution.
8. The microscopic identification method of shale organic matter pore types according to claim 7, characterized in that: under the condition of a scanning electron microscope, the method for determining the position information of the target plane is to find local structures and/or different minerals around the target as markers after the position of a target area is determined, select the number of the markers to be more than or equal to 2, measure the distance from the target to the markers, establish a two-dimensional coordinate system and obtain the accurate position information of the target plane.
9. The microscopic identification method of shale organic matter pore types according to claim 8, characterized in that: the local formation includes sample edges, polished face boundaries or microcracks, with the different minerals being pyrite.
10. The microscopic identification method of shale organic matter pore types according to claim 7, characterized in that: under the condition of an atomic force microscope, the method for determining the position of the target comprises the steps of presenting an image amplified by 100 times on the surface of a sample in a computer display through an optical lens and a CCD (charge coupled device) probe arranged on the atomic force microscope, taking the length of one side of a cross wire in the center of the image as 100 mu m as a measurement unit, and moving a probe to the position above the target by contrasting the position information of a target plane shot under a scanning electron microscope image.
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Cited By (10)
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| CN111829937A (en) * | 2020-08-24 | 2020-10-27 | 东北石油大学 | Quantitative evaluation method and system for surface roughness of organic kerogen pores in shale |
| CN112305000A (en) * | 2020-10-22 | 2021-02-02 | 西南石油大学 | Method for representing shale storage capacity based on shale organic matter pore morphology |
| CN114544622A (en) * | 2022-01-21 | 2022-05-27 | 中国石油大学(华东) | Method and system for quantitatively evaluating shale system closure |
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| CN118150626A (en) * | 2024-05-11 | 2024-06-07 | 中国地质大学（北京） | Method for representing kerogen gas storage capacity by microscopic scale |
| CN118335236A (en) * | 2024-06-13 | 2024-07-12 | 四川省科源工程技术测试中心有限责任公司 | Shale adsorption gas content prediction method based on organic matter occurrence state |
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