A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering
Characterizing internal microscopic structures of porous media is of vital importance to simulate fluid and electric current flow. Compared to traditional rock mechanics and geophysical experiments, digital core and pore network modeling is attracting more interests as it can provide more details on...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/1971622 |
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| _version_ | 1832560140544376832 |
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| author | Xiao Guo Kairui Yang Haowei Jia Zhengwu Tao Mo Xu Baozhu Dong Lei Liu |
| author_facet | Xiao Guo Kairui Yang Haowei Jia Zhengwu Tao Mo Xu Baozhu Dong Lei Liu |
| author_sort | Xiao Guo |
| collection | DOAJ |
| description | Characterizing internal microscopic structures of porous media is of vital importance to simulate fluid and electric current flow. Compared to traditional rock mechanics and geophysical experiments, digital core and pore network modeling is attracting more interests as it can provide more details on rock microstructure with much less time needed. The axis extraction algorithm, which has been widely applied for pore network modeling, mainly consists of a reduction and burning algorithm. However, the commonly used methods in an axis extraction algorithm have the disadvantages of complex judgment conditions and relatively low operating efficiency, thus losing the practicality in application to large-scale pore structure simulation. In this paper, the updated algorithm proposed by Palágyi and Kuba was used to perform digital core and pore network modeling. Firstly, digital core was reconstructed by using the Markov Chain Monte Carlo (MCMC) method based on the binary images of a rock cutting plane taken from heavy oil reservoir sandstone. The digital core accuracy was verified by comparing porosity and autocorrelation function. Then, we extracted the central axis of the digital pore space and characterize structural parameters through geometric transformation technology and maximal sphere method. The obtained geometric parameters were further assigned to the corresponding nodes of pore and throat on the central axis of the constructed model. Moreover, the accuracy of the new developed pore network model was measured by comparing pore/throat parameters, curves of mercury injection, and oil-water relative permeability. The modeling results showed that the new developed method is generally effective for digital core and pore network simulation. Meanwhile, the more homogeneity of the rock, which means the stronger “representative” of binary map the rock cutting plane, the more accurate simulated results can be obtained. |
| format | Article |
| id | doaj-art-ce90303e01c7419d879fdbe02b35e3e2 |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-ce90303e01c7419d879fdbe02b35e3e22025-02-03T01:28:20ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/19716221971622A New Method of Central Axis Extracting for Pore Network Modeling in Rock EngineeringXiao Guo0Kairui Yang1Haowei Jia2Zhengwu Tao3Mo Xu4Baozhu Dong5Lei Liu6State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, ChinaResearch Institute of Exploration and Development Korla, PetroChina Tarim Oilfield Co., Korla, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, ChinaKenli 3-2 Oilfield, Bonan Operation Company, Tianjin Branch of CNOOC (China) Co., Ltd., Tianjin, ChinaSichuan Baoshihua Xinsheng Oil and Gas Operation Service Co., Ltd. of Southwest Oil and Gas Field Branch, ChinaCharacterizing internal microscopic structures of porous media is of vital importance to simulate fluid and electric current flow. Compared to traditional rock mechanics and geophysical experiments, digital core and pore network modeling is attracting more interests as it can provide more details on rock microstructure with much less time needed. The axis extraction algorithm, which has been widely applied for pore network modeling, mainly consists of a reduction and burning algorithm. However, the commonly used methods in an axis extraction algorithm have the disadvantages of complex judgment conditions and relatively low operating efficiency, thus losing the practicality in application to large-scale pore structure simulation. In this paper, the updated algorithm proposed by Palágyi and Kuba was used to perform digital core and pore network modeling. Firstly, digital core was reconstructed by using the Markov Chain Monte Carlo (MCMC) method based on the binary images of a rock cutting plane taken from heavy oil reservoir sandstone. The digital core accuracy was verified by comparing porosity and autocorrelation function. Then, we extracted the central axis of the digital pore space and characterize structural parameters through geometric transformation technology and maximal sphere method. The obtained geometric parameters were further assigned to the corresponding nodes of pore and throat on the central axis of the constructed model. Moreover, the accuracy of the new developed pore network model was measured by comparing pore/throat parameters, curves of mercury injection, and oil-water relative permeability. The modeling results showed that the new developed method is generally effective for digital core and pore network simulation. Meanwhile, the more homogeneity of the rock, which means the stronger “representative” of binary map the rock cutting plane, the more accurate simulated results can be obtained.http://dx.doi.org/10.1155/2021/1971622 |
| spellingShingle | Xiao Guo Kairui Yang Haowei Jia Zhengwu Tao Mo Xu Baozhu Dong Lei Liu A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering Geofluids |
| title | A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering |
| title_full | A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering |
| title_fullStr | A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering |
| title_full_unstemmed | A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering |
| title_short | A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering |
| title_sort | new method of central axis extracting for pore network modeling in rock engineering |
| url | http://dx.doi.org/10.1155/2021/1971622 |
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