LAPSE:2023.7653v1
Published Article

LAPSE:2023.7653v1
Well-Logging Constraints on Gas Hydrate Saturation in Unconsolidated Fine-Grained Reservoirs in the Northern South China Sea
February 24, 2023
Abstract
Recently, drilling wells have encountered rich gas hydrates in fine-grained sediments in the northern South China Sea. Gas hydrate in fine-grained sediments is very heterogeneous, and its physical properties are different from those of oil and gas reservoirs. The reliability of the classical logging saturation evaluation models established for diagenetic reservoirs is questionable. This study used four wells in GMGS3 and GMGS4 to evaluate the effects of the application of three typical methods for evaluating saturation with different principles in the unconsolidated fine-grained sediments: nuclear magnetic logging, sigma logging, and the Archie formula. It was found that the value of the lithologic capture cross-section in sigma logging and the rock’s electrical parameters in the Archie formula affect the accuracy of the model. Therefore, to obtain a reliable saturation value for fine-grained sediments, an innovative method for the calculation of resistivity and acoustic time is proposed to estimate gas hydrate saturation based on logging data, which is most consistent with the results of core analysis. The overall relative error of the verification well was 5.87%, whereas that of the density NMR logging method was 56%, showing that the accuracy of the newly proposed resistivity DT logging method’s saturation formula was significantly improved. Finally, a new model-based cross chart was developed, which can rapidly differentiate gas saturation during drilling.
Recently, drilling wells have encountered rich gas hydrates in fine-grained sediments in the northern South China Sea. Gas hydrate in fine-grained sediments is very heterogeneous, and its physical properties are different from those of oil and gas reservoirs. The reliability of the classical logging saturation evaluation models established for diagenetic reservoirs is questionable. This study used four wells in GMGS3 and GMGS4 to evaluate the effects of the application of three typical methods for evaluating saturation with different principles in the unconsolidated fine-grained sediments: nuclear magnetic logging, sigma logging, and the Archie formula. It was found that the value of the lithologic capture cross-section in sigma logging and the rock’s electrical parameters in the Archie formula affect the accuracy of the model. Therefore, to obtain a reliable saturation value for fine-grained sediments, an innovative method for the calculation of resistivity and acoustic time is proposed to estimate gas hydrate saturation based on logging data, which is most consistent with the results of core analysis. The overall relative error of the verification well was 5.87%, whereas that of the density NMR logging method was 56%, showing that the accuracy of the newly proposed resistivity DT logging method’s saturation formula was significantly improved. Finally, a new model-based cross chart was developed, which can rapidly differentiate gas saturation during drilling.
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Keywords
gas hydrate saturation, gas hydrates, resistivity and acoustic time calculation method, South China Sea, well log
Suggested Citation
Wan X, Zhou X, Liang J, Wu S, Lu J, Wei C, Wang R, Liu B. Well-Logging Constraints on Gas Hydrate Saturation in Unconsolidated Fine-Grained Reservoirs in the Northern South China Sea. (2023). LAPSE:2023.7653v1
Author Affiliations
Wan X: Haikou Marine Geological Survey Center, Chinese Geological Survey, Haikou 571127, China; Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Zhou X: Laboratory of Marine Geophysics and Georesources, Institute of Deep-Sea Science and Engineering, China Academy of Sciences, Sanya 572000, China
Liang J: Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Wu S: Laboratory of Marine Geophysics and Georesources, Institute of Deep-Sea Science and Engineering, China Academy of Sciences, Sanya 572000, China [ORCID]
Lu J: Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Wei C: Haikou Marine Geological Survey Center, Chinese Geological Survey, Haikou 571127, China; Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Wang R: Haikou Marine Geological Survey Center, Chinese Geological Survey, Haikou 571127, China
Liu B: School of Earth Science and Engineering, Hebei University of Engineering, Handan 056038, China
Zhou X: Laboratory of Marine Geophysics and Georesources, Institute of Deep-Sea Science and Engineering, China Academy of Sciences, Sanya 572000, China
Liang J: Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Wu S: Laboratory of Marine Geophysics and Georesources, Institute of Deep-Sea Science and Engineering, China Academy of Sciences, Sanya 572000, China [ORCID]
Lu J: Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Wei C: Haikou Marine Geological Survey Center, Chinese Geological Survey, Haikou 571127, China; Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Wang R: Haikou Marine Geological Survey Center, Chinese Geological Survey, Haikou 571127, China
Liu B: School of Earth Science and Engineering, Hebei University of Engineering, Handan 056038, China
Journal Name
Energies
Volume
15
Issue
23
First Page
9215
Year
2022
Publication Date
2022-12-05
ISSN
1996-1073
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PII: en15239215, Publication Type: Journal Article
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LAPSE:2023.7653v1
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