3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea
Natural gas hydrates, as a novel clean energy resource, have attracted widespread attention because of their highly complex reservoir properties, fluid distribution, and phase transitions. In particular, the fluid–solid interactions among hydrates, natural gas, water, and other multiphase components...
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MDPI AG
2025-04-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/4/705 |
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| author | Langfeng Mu Dawang Liu Yi Zhang Hailong Lu Shipeng Wei |
| author_facet | Langfeng Mu Dawang Liu Yi Zhang Hailong Lu Shipeng Wei |
| author_sort | Langfeng Mu |
| collection | DOAJ |
| description | Natural gas hydrates, as a novel clean energy resource, have attracted widespread attention because of their highly complex reservoir properties, fluid distribution, and phase transitions. In particular, the fluid–solid interactions among hydrates, natural gas, water, and other multiphase components, along with phase state transitions influenced by temperature and pressure and the dynamic reservoir responses induced by hydrate decomposition and synthesis, make their study unique. Consequently, accurately predicting the structure and reservoir properties of natural gas hydrates remains a scientific challenge. In this study, high-resolution 3D seismic data, well logging, and core samples from the Shenhu test area in the South China Sea were utilized for stratigraphic correlation and classification. The hydrate, three-phase mixed, and free gas layers were identified as distinct geological bodies, and detailed stratigraphic subdivisions were performed based on hydrate distribution and physical properties. By integrating stochastic and deterministic modeling approaches, a comprehensive hydrate reservoir model, along with temperature and pressure field models, was established. For the first time, a three-dimensional heterogeneous geological model of the hydrate reservoir was developed for the test exploitation area. This model provides a robust geological foundation for hydrate reservoir studies, numerical simulations, and the formulation of efficient exploitation strategies, contributing to the advancement of natural gas hydrate exploration and production. |
| format | Article |
| id | doaj-art-4f76360a2f5b462eb454fdc33fab3eb9 |
| institution | DOAJ |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-4f76360a2f5b462eb454fdc33fab3eb92025-08-20T03:13:32ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-04-0113470510.3390/jmse130407053D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China SeaLangfeng Mu0Dawang Liu1Yi Zhang2Hailong Lu3Shipeng Wei4Beijing International Center for Gas Hydrate, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaResearch Institute of Petroleum Exploration and Development, Beijing 100083, ChinaChinese Academy of Geological Sciences, China Geological Survey, Ministry of Natural Resources, Beijing 100037, ChinaBeijing International Center for Gas Hydrate, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaCNPC Offshore Engineering Company Ltd., Beijing 100028, ChinaNatural gas hydrates, as a novel clean energy resource, have attracted widespread attention because of their highly complex reservoir properties, fluid distribution, and phase transitions. In particular, the fluid–solid interactions among hydrates, natural gas, water, and other multiphase components, along with phase state transitions influenced by temperature and pressure and the dynamic reservoir responses induced by hydrate decomposition and synthesis, make their study unique. Consequently, accurately predicting the structure and reservoir properties of natural gas hydrates remains a scientific challenge. In this study, high-resolution 3D seismic data, well logging, and core samples from the Shenhu test area in the South China Sea were utilized for stratigraphic correlation and classification. The hydrate, three-phase mixed, and free gas layers were identified as distinct geological bodies, and detailed stratigraphic subdivisions were performed based on hydrate distribution and physical properties. By integrating stochastic and deterministic modeling approaches, a comprehensive hydrate reservoir model, along with temperature and pressure field models, was established. For the first time, a three-dimensional heterogeneous geological model of the hydrate reservoir was developed for the test exploitation area. This model provides a robust geological foundation for hydrate reservoir studies, numerical simulations, and the formulation of efficient exploitation strategies, contributing to the advancement of natural gas hydrate exploration and production.https://www.mdpi.com/2077-1312/13/4/705gas hydratenon-homogeneous3D geological modelingstratigraphic correlationreserve estimation |
| spellingShingle | Langfeng Mu Dawang Liu Yi Zhang Hailong Lu Shipeng Wei 3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea Journal of Marine Science and Engineering gas hydrate non-homogeneous 3D geological modeling stratigraphic correlation reserve estimation |
| title | 3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea |
| title_full | 3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea |
| title_fullStr | 3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea |
| title_full_unstemmed | 3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea |
| title_short | 3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea |
| title_sort | 3d heterogeneous geological model of natural gas hydrates in shenhu area south china sea |
| topic | gas hydrate non-homogeneous 3D geological modeling stratigraphic correlation reserve estimation |
| url | https://www.mdpi.com/2077-1312/13/4/705 |
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