Quantitative Analysis of the Topological Structure of Rock Pore Network
As the most significant nonlinear reservoir, the rocks have complex structural characteristic. The pore structure of the rock is varied in shape and complex in connectivity. However, the prevailing methods for characterising the microstructure of rocks, such as the coordination number method and fra...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/5517489 |
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| _version_ | 1832561582936162304 |
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| author | Dayu Ye Guannan Liu Ning Luo Feng Gao Xinmin Zhu Fengtian Yue |
| author_facet | Dayu Ye Guannan Liu Ning Luo Feng Gao Xinmin Zhu Fengtian Yue |
| author_sort | Dayu Ye |
| collection | DOAJ |
| description | As the most significant nonlinear reservoir, the rocks have complex structural characteristic. The pore structure of the rock is varied in shape and complex in connectivity. However, the prevailing methods for characterising the microstructure of rocks, such as the coordination number method and fractal theory, are still difficult to quantify the structural properties. In this study, based on the CT-scan method and a new complex network theory, the topological characteristics of rocks such as seepage path selection, degree of pore aggregation, pore importance, and pore module structure are analysed. The results show that the scale-free network model is more reliable in characterising the rock pore network than previously published structural models, and a small number of pores are the “key” to the seepage process. Besides, we proposed a new method to quantify the importance of rock pores and present the distribution characteristics and connectivity laws of the rock-pore network. This provides a new method to study the seepage process of the nonlinear reservoirs. |
| format | Article |
| id | doaj-art-a2db9c5207ca4df8aa2dc0db2917ce40 |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-a2db9c5207ca4df8aa2dc0db2917ce402025-02-03T01:24:43ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/55174895517489Quantitative Analysis of the Topological Structure of Rock Pore NetworkDayu Ye0Guannan Liu1Ning Luo2Feng Gao3Xinmin Zhu4Fengtian Yue5State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaKey Laboratory of Deep Earth Science and Engineering (Sichuan University), Ministry of Education, Chengdu, 610065, ChinaState Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaState Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaState Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaMechanics and Civil Engineering Institute, China University of Mining and Technology, Xuzhou 221116, ChinaAs the most significant nonlinear reservoir, the rocks have complex structural characteristic. The pore structure of the rock is varied in shape and complex in connectivity. However, the prevailing methods for characterising the microstructure of rocks, such as the coordination number method and fractal theory, are still difficult to quantify the structural properties. In this study, based on the CT-scan method and a new complex network theory, the topological characteristics of rocks such as seepage path selection, degree of pore aggregation, pore importance, and pore module structure are analysed. The results show that the scale-free network model is more reliable in characterising the rock pore network than previously published structural models, and a small number of pores are the “key” to the seepage process. Besides, we proposed a new method to quantify the importance of rock pores and present the distribution characteristics and connectivity laws of the rock-pore network. This provides a new method to study the seepage process of the nonlinear reservoirs.http://dx.doi.org/10.1155/2021/5517489 |
| spellingShingle | Dayu Ye Guannan Liu Ning Luo Feng Gao Xinmin Zhu Fengtian Yue Quantitative Analysis of the Topological Structure of Rock Pore Network Geofluids |
| title | Quantitative Analysis of the Topological Structure of Rock Pore Network |
| title_full | Quantitative Analysis of the Topological Structure of Rock Pore Network |
| title_fullStr | Quantitative Analysis of the Topological Structure of Rock Pore Network |
| title_full_unstemmed | Quantitative Analysis of the Topological Structure of Rock Pore Network |
| title_short | Quantitative Analysis of the Topological Structure of Rock Pore Network |
| title_sort | quantitative analysis of the topological structure of rock pore network |
| url | http://dx.doi.org/10.1155/2021/5517489 |
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