Numerical simulation of resistivity and saturation estimation of pore-type gas hydrate reservoirs in the permafrost region of the Qilian Mountains
文献类型：期刊论文
| 作者 | Hu, Xudong1,2,3,4,5,6; Zou, Changchun7; Qin, Zhen4; Yuan, Hai1; Song, Guo1; Xiao, Kun1 |
| 刊名 | JOURNAL OF GEOPHYSICS AND ENGINEERING
 |
| 出版日期 | 2024-02-21 |
| 卷号 | 21期号:2页码:599-613 |
| 关键词 | gas hydrates numerical simulation saturation estimation permafrost region |
| ISSN号 | 1742-2132 |
| DOI | 10.1093/jge/gxae021 |
| 通讯作者 | Hu, Xudong(huxudong@foxmail.com) ; Xiao, Kun(xiaokun0626@163.com) |
| 英文摘要 | The pore-type hydrate reservoirs in the permafrost region of the Qilian Mountains (PRQM) have complex characteristics, including low porosity, low permeability, high shale content, and conductive minerals. Currently, the research on the electrical properties of these reservoirs still needs to be sufficiently in depth, and there are limitations in well-logging evaluation methods. To fill in this gap, a conductivity model of pore-type gas hydrate reservoirs (GHRs) is established based on the pore-combination modeling theory to investigate the influencing factors of the resistivity characteristics of GHRs through numerical simulations. The comparison between the laboratory-measured resistivity of different hydrate saturations and the results of the calculated model shows good agreement, indicating the accuracy of the conductivity model in describing the electrical characteristics of GHRs in the PRQM. Compared to conductive minerals, the numerical simulation results indicate that the high shale content is the main reason for the decrease in resistivity of pore-type GHRs in the study area. The hydrate saturation evaluation of well DK-3 from 386.3 to 393.6 m depth shows that the hydrate saturation ranges from 5.1 to 66.4%, with an average value of 44.0%. The identified hydrate interval using this model is consistent with the actual hydrate interval encountered during the drilling. This study, as an innovation, can help clarify the conductive mechanism of pore-type GHRs in the PRQM and provide more accurate parameters for evaluating gas hydrate resources in the study area. |
| WOS关键词 | KRISHNA-GODAVARI BASIN ; PETROPHYSICAL PROPERTIES ; SHALY SANDS ; WELL LOGS ; MULI AREA ; MODEL ; VELOCITY ; QINGHAI ; SEDIMENTS |
| 资助项目 | Key Laboratory of Gas Hydrate, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences[E229kf18] ; Open Research Project of the Hubei Key Laboratory of Intelligent Geo-Information Processing[KLIGIP-2023-A03] ; Hubei Key Laboratory of Marine Geological Resources, China University of Geosciences[MGR202106] ; Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province[SDGD202209] ; Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology, East China University of Technology[JELRGBDT202201] ; Key Laboratory of Submarine Geosciences, Ministry of Natural Resources[KLSG2204] ; Science and Technology Research Project of Jiangxi Provincial Department of Education[GJJ2200747] ; Academic and Technical Leader Training Program of Jiangxi Province[20204BCJ23027] ; National Natural Science Foundation of China[42364009] ; National Natural Science Foundation of China[41804097] |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001192237400002 |
| 出版者 | OXFORD UNIV PRESS |
| 资助机构 | Key Laboratory of Gas Hydrate, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences ; Open Research Project of the Hubei Key Laboratory of Intelligent Geo-Information Processing ; Hubei Key Laboratory of Marine Geological Resources, China University of Geosciences ; Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province ; Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology, East China University of Technology ; Key Laboratory of Submarine Geosciences, Ministry of Natural Resources ; Science and Technology Research Project of Jiangxi Provincial Department of Education ; Academic and Technical Leader Training Program of Jiangxi Province ; National Natural Science Foundation of China |
| 源URL | [http://ir.giec.ac.cn/handle/344007/41348]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Hu, Xudong; Xiao, Kun |
| 作者单位 | 1.East China Univ Technol, Engn Res Ctr Seism Disaster Prevent & Engn Geol Di, Nanchang 330013, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Gas Hydrate, Guangzhou 510640, Peoples R China 3.Minist Nat Resources, Key Lab Submarine Geosci, Hangzhou 310012, Peoples R China 4.East China Univ Technol, Jiangxi Engn Lab Radioact Geosci & Big Data Techno, Nanchang 330013, Peoples R China 5.China Univ Geosci, Hubei Key Lab Intelligent Geoinformat Proc, Wuhan 430078, Peoples R China 6.China Univ Geosci, Hubei Key Lab Marine Geol Resources, Wuhan 430074, Peoples R China 7.China Univ Geosci, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Xudong,Zou, Changchun,Qin, Zhen,et al. Numerical simulation of resistivity and saturation estimation of pore-type gas hydrate reservoirs in the permafrost region of the Qilian Mountains[J]. JOURNAL OF GEOPHYSICS AND ENGINEERING,2024,21(2):599-613. |
| APA | Hu, Xudong,Zou, Changchun,Qin, Zhen,Yuan, Hai,Song, Guo,&Xiao, Kun.(2024).Numerical simulation of resistivity and saturation estimation of pore-type gas hydrate reservoirs in the permafrost region of the Qilian Mountains.JOURNAL OF GEOPHYSICS AND ENGINEERING,21(2),599-613. |
| MLA | Hu, Xudong,et al."Numerical simulation of resistivity and saturation estimation of pore-type gas hydrate reservoirs in the permafrost region of the Qilian Mountains".JOURNAL OF GEOPHYSICS AND ENGINEERING 21.2(2024):599-613. |
入库方式： OAI收割
来源：广州能源研究所
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