Synergistic exploitation of gas hydrates through surface seawater injection coupled with depressurization: Application and optimization in the South China Sea

Abstract

This study proposes and systematically evaluates an optimized integration of warm surface seawater injection with depressurization for the long-term exploitation of marine natural gas hydrates. By employing comprehensive multiphysics simulations guided by field data from hydrate production tests in the South China Sea, we pinpoint key operational parameters-such as injection rates, depths, and timings-that notably enhance production efficiency. The results indicate that a 3-phase hydrate reservoir transitions from a free-gas-dominated production stage to a hydrate-decomposition-dominated stage. Moderate warm seawater injection supplies additional heat during the hydrate decomposition phase, thereby enhancing stable production; however, excessively high injection rates can impede the depressurization process. Only injection at an appropriate depth simultaneously balances thermal supplementation and the pressure gradient, leading to higher overall productivity. A “depressurization-driven sensible-heat supply window” is introduced, highlighting that timely seawater injection following initial depressurization prolongs reservoir dissociation dynamics. In this study area, commencing seawater injection at 170 d of depressurization proved optimal. This optimized integration leverages clean and renewable thermal energy, providing essential insights into thermal supplementation strategies with significant implications for sustainable, economically feasible, and efficient commercial-scale hydrate production.

Keywords

Natural gas hydrates / Surface seawater injection / Multiphysics simulations / Thermal supplementation / Sensible-heat supply window

Acknowledgments

This research is supported by the National Key R&D Program of China (No. 2024YFB4206700), the Joint Geological Funds of the National Natural Science Foundation of China (No. U2244223), the China Scholarship Council Program (No. 202404910533), the Guangdong Major Project of Basic and Applied Basic Research (No. 2020B0301030003), the China Geological Survey Project (No. DD20211350), the Key Deployment Program of Chinese Academy of Sciences (Nos. YJKYYQ20190043, ZDBS-LY-DQC003, KFZD-SW-422, and ZDRW-ZS-2021-3-1), the Scientific Research and Technol-ogy Development Project of China National Petroleum Corporation (No. 2022DJ5503), and the Supercomputing Laboratory, IGGCAS.

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