Thermogenic gas controls high saturation gas hydrate distribution in the Pearl River Mouth Basin: Evidence from numerical modeling and seismic anomalies
Sun, Luyi1,2,3,6; Wang, Xiujuan1,2,3,4,6; He, Min4; Jin, Jiapeng1,2,3,6; Li, Jie4; Li Yuanping4; Zhu, Zhenyu5; Zhang, Guangxu2,3,6
刊名ORE GEOLOGY REVIEWS
2020-12-01
卷号127页码:16
关键词Gas hydrate Erosion surface Gas chimney Upward migration The Pearl River Mouth Basin
ISSN号0169-1368
DOI10.1016/j.oregeorev.2020.103846
通讯作者Wang, Xiujuan(wangxiujuan@qdio.ac.cn)
英文摘要We integrate three-dimensional (3D) seismic data, well log and two-dimensional (2D) modeling to understand the accumulation and saturation of gas hydrates and their relationships with biogenic and thermogenic gases in the Pearl River Mouth Basin, South China Sea (Sites SH2, SH5, W17, and W19). The model based on physical, geochemical and geological parameters from shallow gas hydrate sites, deep oil sites and seismic interpretation, and it is tied to well-log and seismic quantitative interpretation, to predict the main controlling factors for gas hydrate distribution. The modeling results show that the biogenic methane generation is distributed within the strata shallower than 1500 mbsf (meters below the seafloor), whereas thermogenic gas generation ranges from 2300 mbsf to 6000 mbsf. The erosion surfaces of migrating canyons represent important pathways for upward migration of biogenic gas resulting in average hydrate saturation 20% below the ridges of canyons. The total organic carbon content is an important factor related to biogenically-sourced gas hydrate distribution. Higher gas saturation ( 40%) at the base of gas hydrate stability zone (BGHSZ) is related to the focused migration of thermogenic gas along faults and throughout permeable carrier beds. Although gas chimneys are widely identified from the coherence attribute extracted from 3D seismic data, their impact on the obviously higher (locally up to 60%) gas hydrate saturations in the fine-grained sediments appears site-dependent and associated with fault activity. By comparing well log-derived gas hydrate saturations, our modeling shows that about 80% of the methane-forming hydrate is thermogenically-sourced at Sites W19 and W17. The integrated modeling effort presented in this work, based on provides a better understanding of the different contributions from different gas sources for gas hydrate accumulation along the northern slope of the South China Sea.
资助项目National Key Research and Development Program of China[2017YFC0307301-1] ; National Natural Science Foundation of China, China[41676041] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0104]
WOS研究方向Geology ; Mineralogy ; Mining & Mineral Processing
语种英语
出版者ELSEVIER
WOS记录号WOS:000598889300002
内容类型期刊论文
源URL[http://ir.qdio.ac.cn/handle/337002/169554]  
专题海洋研究所_海洋地质与环境重点实验室
通讯作者Wang, Xiujuan
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Mineral Resources, Qingdao 266071, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Ctr Deep Sea Res, Qingdao 266071, Peoples R China
4.CNOOC China Ltd, Shenzhen Branch, Shenzhen 518054, Peoples R China
5.CNOOC Res Inst Co Ltd, Beijing 100028, Peoples R China
6.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
推荐引用方式
GB/T 7714
Sun, Luyi,Wang, Xiujuan,He, Min,et al. Thermogenic gas controls high saturation gas hydrate distribution in the Pearl River Mouth Basin: Evidence from numerical modeling and seismic anomalies[J]. ORE GEOLOGY REVIEWS,2020,127:16.
APA Sun, Luyi.,Wang, Xiujuan.,He, Min.,Jin, Jiapeng.,Li, Jie.,...&Zhang, Guangxu.(2020).Thermogenic gas controls high saturation gas hydrate distribution in the Pearl River Mouth Basin: Evidence from numerical modeling and seismic anomalies.ORE GEOLOGY REVIEWS,127,16.
MLA Sun, Luyi,et al."Thermogenic gas controls high saturation gas hydrate distribution in the Pearl River Mouth Basin: Evidence from numerical modeling and seismic anomalies".ORE GEOLOGY REVIEWS 127(2020):16.
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