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Correlation Evaluation and Schematic Analysis of Influencing Factors Affecting Pore and Fracture Connectivity on the Microscale and Their Application Discussion in Coal Reservoir Based on X-ray CT Data
[Image: see text] The connectivity of the pore/fracture system is the key to CO(2) injection and CH(4) production, which is of great significance in analyzing the correlation and weight of the influencing factors affecting the connectivity on the microscale. First, the 3D reconstruction of the coal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077567/ https://www.ncbi.nlm.nih.gov/pubmed/37033855 http://dx.doi.org/10.1021/acsomega.2c06943 |
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author | Fang, Huihuang Wang, Zhangfei Sang, Shuxun Liu, Shiqi Gu, Chengchuan Yang, Jing Li, Lei Huang, Yanhui |
author_facet | Fang, Huihuang Wang, Zhangfei Sang, Shuxun Liu, Shiqi Gu, Chengchuan Yang, Jing Li, Lei Huang, Yanhui |
author_sort | Fang, Huihuang |
collection | PubMed |
description | [Image: see text] The connectivity of the pore/fracture system is the key to CO(2) injection and CH(4) production, which is of great significance in analyzing the correlation and weight of the influencing factors affecting the connectivity on the microscale. First, the 3D reconstruction of the coal reservoir is realized. Second, the characteristic parameters of pore/fracture structures are analyzed. Next, the characteristics of absolute permeability are analyzed, and then the correlation and weight analysis of the influencing factors are realized. Finally, the schematic analysis and application discussion of the influencing factors are carried out. The results show that porosity is the key factor restricting fluid migration. The heterogeneity of the reservoir can be characterized by the volume changes of the pore/fracture, organic matter, and mineral. The interconnected pores/fractures are mainly distributed in sheets and bands. The coordination number ranges from 1 to 15. The Ferret diameter is 0–10 μm. The tortuosity is 2.27111, 1.9034, 3.98522, and 3.51516, respectively, and the Euler characteristic number is 0.931868, 0.974719, 0.921144, and 0.897697, respectively. The permeability of the SH and YW samples is higher than that of the RL and PY samples. The single weight of the influencing factor is as follows: coordination number > Ferret diameter > Euler characteristic number > porosity > tortuosity. The analysis area of the comprehensive evaluation score of the influencing factors and the permeability value can be divided into three grades. There is a positive correlation among the coordination number, the quantity equilibrium of pores and throats, and the connectivity. The shape factor gradually increases with the increase of the Ferret diameter. The reservoir permeability is indirectly characterized by the coordination number, Ferret diameter, tortuosity, Euler characteristic number, and shape factor. This study can provide new ideas for clarifying the correlation degree and weight value of the characteristic parameters and can enrich the development of 3D digital core and CO(2)-ECBM technology. |
format | Online Article Text |
id | pubmed-10077567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100775672023-04-07 Correlation Evaluation and Schematic Analysis of Influencing Factors Affecting Pore and Fracture Connectivity on the Microscale and Their Application Discussion in Coal Reservoir Based on X-ray CT Data Fang, Huihuang Wang, Zhangfei Sang, Shuxun Liu, Shiqi Gu, Chengchuan Yang, Jing Li, Lei Huang, Yanhui ACS Omega [Image: see text] The connectivity of the pore/fracture system is the key to CO(2) injection and CH(4) production, which is of great significance in analyzing the correlation and weight of the influencing factors affecting the connectivity on the microscale. First, the 3D reconstruction of the coal reservoir is realized. Second, the characteristic parameters of pore/fracture structures are analyzed. Next, the characteristics of absolute permeability are analyzed, and then the correlation and weight analysis of the influencing factors are realized. Finally, the schematic analysis and application discussion of the influencing factors are carried out. The results show that porosity is the key factor restricting fluid migration. The heterogeneity of the reservoir can be characterized by the volume changes of the pore/fracture, organic matter, and mineral. The interconnected pores/fractures are mainly distributed in sheets and bands. The coordination number ranges from 1 to 15. The Ferret diameter is 0–10 μm. The tortuosity is 2.27111, 1.9034, 3.98522, and 3.51516, respectively, and the Euler characteristic number is 0.931868, 0.974719, 0.921144, and 0.897697, respectively. The permeability of the SH and YW samples is higher than that of the RL and PY samples. The single weight of the influencing factor is as follows: coordination number > Ferret diameter > Euler characteristic number > porosity > tortuosity. The analysis area of the comprehensive evaluation score of the influencing factors and the permeability value can be divided into three grades. There is a positive correlation among the coordination number, the quantity equilibrium of pores and throats, and the connectivity. The shape factor gradually increases with the increase of the Ferret diameter. The reservoir permeability is indirectly characterized by the coordination number, Ferret diameter, tortuosity, Euler characteristic number, and shape factor. This study can provide new ideas for clarifying the correlation degree and weight value of the characteristic parameters and can enrich the development of 3D digital core and CO(2)-ECBM technology. American Chemical Society 2023-03-24 /pmc/articles/PMC10077567/ /pubmed/37033855 http://dx.doi.org/10.1021/acsomega.2c06943 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Fang, Huihuang Wang, Zhangfei Sang, Shuxun Liu, Shiqi Gu, Chengchuan Yang, Jing Li, Lei Huang, Yanhui Correlation Evaluation and Schematic Analysis of Influencing Factors Affecting Pore and Fracture Connectivity on the Microscale and Their Application Discussion in Coal Reservoir Based on X-ray CT Data |
title | Correlation Evaluation
and Schematic Analysis of Influencing
Factors Affecting Pore and Fracture Connectivity on the Microscale
and Their Application Discussion in Coal Reservoir Based on X-ray
CT Data |
title_full | Correlation Evaluation
and Schematic Analysis of Influencing
Factors Affecting Pore and Fracture Connectivity on the Microscale
and Their Application Discussion in Coal Reservoir Based on X-ray
CT Data |
title_fullStr | Correlation Evaluation
and Schematic Analysis of Influencing
Factors Affecting Pore and Fracture Connectivity on the Microscale
and Their Application Discussion in Coal Reservoir Based on X-ray
CT Data |
title_full_unstemmed | Correlation Evaluation
and Schematic Analysis of Influencing
Factors Affecting Pore and Fracture Connectivity on the Microscale
and Their Application Discussion in Coal Reservoir Based on X-ray
CT Data |
title_short | Correlation Evaluation
and Schematic Analysis of Influencing
Factors Affecting Pore and Fracture Connectivity on the Microscale
and Their Application Discussion in Coal Reservoir Based on X-ray
CT Data |
title_sort | correlation evaluation
and schematic analysis of influencing
factors affecting pore and fracture connectivity on the microscale
and their application discussion in coal reservoir based on x-ray
ct data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077567/ https://www.ncbi.nlm.nih.gov/pubmed/37033855 http://dx.doi.org/10.1021/acsomega.2c06943 |
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