Well Log Evaluation Method of Shale Gas Flow Capacity
The gas-water two-phase seepage capacity of shale gas reservoir has an important influence on its productivity, but there is no method to evaluate the shale gas flow capacity directly by geophysical means such as logging. Three-dimensional digital core models of inorganic pores, organic pores and mi...
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| Format: | Article |
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Editorial Office of Well Logging Technology
2025-04-01
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| Series: | Cejing jishu |
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| Online Access: | https://www.cnpcwlt.com/en/#/digest?ArticleID=5728 |
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| author | NIE Xin SUN Chuanrui HAO Yuexiang WANG Benqiang LIN Wei LI Bingke WANG Chenchen ZHANG Jizhen HAN Denglin |
| author_facet | NIE Xin SUN Chuanrui HAO Yuexiang WANG Benqiang LIN Wei LI Bingke WANG Chenchen ZHANG Jizhen HAN Denglin |
| author_sort | NIE Xin |
| collection | DOAJ |
| description | The gas-water two-phase seepage capacity of shale gas reservoir has an important influence on its productivity, but there is no method to evaluate the shale gas flow capacity directly by geophysical means such as logging. Three-dimensional digital core models of inorganic pores, organic pores and micro-fractures are established by core focused ion beams-scanning electron microscopy (FIB-SEM). The gas flooding water seepage of shale pores and fractures under different wetting conditions is simulated based on volume of fluid (VOF), and the characteristics of endpoint water saturation are obtained. Based on the understanding of the flow capacity of different pore types obtained from the simulation results, the equivalent flow capacity of each core can be obtained by combining the statistics of different pore types extracted from the large-scale mosaic scanning electron microscopy (Modular Automated Processing System, MAPS). Based on the analysis of petrophysical experiment and logging response, the flow capacity calculation equation and a model for evaluating flow capacity based on logging data are established. The actual logging data processing results show that the evaluation model proposed in this paper has high accuracy, and can obtain continuous shale gas flow profile. It can be used to guide shale gas exploration and development. |
| format | Article |
| id | doaj-art-77b2c997f6a241188b4c6879a9d80d49 |
| institution | DOAJ |
| issn | 1004-1338 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Editorial Office of Well Logging Technology |
| record_format | Article |
| series | Cejing jishu |
| spelling | doaj-art-77b2c997f6a241188b4c6879a9d80d492025-08-20T03:13:26ZzhoEditorial Office of Well Logging TechnologyCejing jishu1004-13382025-04-0149224425410.16489/j.issn.1004-1338.2025.02.0121004-1338(2025)02-0244-11Well Log Evaluation Method of Shale Gas Flow CapacityNIE Xin0SUN Chuanrui1HAO Yuexiang2WANG Benqiang3LIN Wei4LI Bingke5WANG Chenchen6ZHANG Jizhen7HAN Denglin8Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, ChinaKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, ChinaShale Gas Exploration and Development Project Management Department, CNPC Chuanqing Drilling Engineering Company Limited, Chengdu, Sichuan 610056, ChinaShale Gas Exploration and Development Project Management Department, CNPC Chuanqing Drilling Engineering Company Limited, Chengdu, Sichuan 610056, ChinaLaboratory of Reservoir Microstructure Evolution and Digital Characterization, Yangtze University, Wuhan, Hubei 430100, ChinaKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, ChinaKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, ChinaKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, ChinaKey Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, ChinaThe gas-water two-phase seepage capacity of shale gas reservoir has an important influence on its productivity, but there is no method to evaluate the shale gas flow capacity directly by geophysical means such as logging. Three-dimensional digital core models of inorganic pores, organic pores and micro-fractures are established by core focused ion beams-scanning electron microscopy (FIB-SEM). The gas flooding water seepage of shale pores and fractures under different wetting conditions is simulated based on volume of fluid (VOF), and the characteristics of endpoint water saturation are obtained. Based on the understanding of the flow capacity of different pore types obtained from the simulation results, the equivalent flow capacity of each core can be obtained by combining the statistics of different pore types extracted from the large-scale mosaic scanning electron microscopy (Modular Automated Processing System, MAPS). Based on the analysis of petrophysical experiment and logging response, the flow capacity calculation equation and a model for evaluating flow capacity based on logging data are established. The actual logging data processing results show that the evaluation model proposed in this paper has high accuracy, and can obtain continuous shale gas flow profile. It can be used to guide shale gas exploration and development.https://www.cnpcwlt.com/en/#/digest?ArticleID=5728shale gaspore typeflow capacitywell log evaluationmultiple regression |
| spellingShingle | NIE Xin SUN Chuanrui HAO Yuexiang WANG Benqiang LIN Wei LI Bingke WANG Chenchen ZHANG Jizhen HAN Denglin Well Log Evaluation Method of Shale Gas Flow Capacity Cejing jishu shale gas pore type flow capacity well log evaluation multiple regression |
| title | Well Log Evaluation Method of Shale Gas Flow Capacity |
| title_full | Well Log Evaluation Method of Shale Gas Flow Capacity |
| title_fullStr | Well Log Evaluation Method of Shale Gas Flow Capacity |
| title_full_unstemmed | Well Log Evaluation Method of Shale Gas Flow Capacity |
| title_short | Well Log Evaluation Method of Shale Gas Flow Capacity |
| title_sort | well log evaluation method of shale gas flow capacity |
| topic | shale gas pore type flow capacity well log evaluation multiple regression |
| url | https://www.cnpcwlt.com/en/#/digest?ArticleID=5728 |
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