Study on crustal thickness and the prediction of prolific depressions: the Bohai Basin as an example

doi:10.1007/s13131-024-2339-2

IOCAS-IR > 海洋地质与环境重点实验室

	Study on crustal thickness and the prediction of prolific depressions: the Bohai Basin as an example
	Cai, Mengke 1; Zhang, Gongcheng 2; Wang, Wanyin 1,3,4; Wang, Dingding 1,5
	2024-04-01
发表期刊	ACTA OCEANOLOGICA SINICA
ISSN	0253-505X
卷号	43 期号:4 页码:92-104
通讯作者	Zhang, Gongcheng(zhanggch@cnooc.com.cn) ; Wang, Wanyin(wwy7902@chd.edu.cn)
摘要	The deep crustal structure is closely related to oil and gas reserves. Predicting the oil and gas enrichment of depressions based on the Moho depth and crustal thickness is a promising research topic with significant implications for guiding exploration in petroliferous basins. In this study, seismic data were used as a constraint on the use of satellite gravity anomaly inversion to obtain the distribution of Moho depth and crustal thickness in the Bohai Basin. Stretching factors were calculated to analyze the differential distribution of deep crustal structural activity. Four indicators, including the minimum Moho depth, minimum crustal thickness, sum of Moho stretching factors, and sum of crustal stretching factors, were selected. Principal component analysis was applied to reduce the dimensionality of the multi-indicator system and obtain an oil and gas enrichment score for quantitative prediction of favorable prolific depressions. The deviation between the inverted Moho depth and seismic constraints was small; thus, the data effectively reflect the variations in the characteristics of each depression. The analysis revealed significant statistical features related to the minimum Moho depth/crustal thickness and the sum of Moho/crustal stretching factors associated with prolific depressions. Based on the oil and gas enrichment score, the depressions were classified into four categories related to their different deep crustal structural characteristics. Highly active Class I, Class II, and Class III depressions are predicted to be favorable prolific depressions. This study expands the research on quantitatively predicting favorable prolific depressions in the Bohai Basin using the deep crustal structure and can contribute to reducing production costs and improving exploration efficiency in future explorations.
关键词	Bohai Basin satellite gravity anomaly deep crustal structure Moho depth crustal thickness favorable prolific depression
DOI	10.1007/s13131-024-2339-2
收录类别	SCI
语种	英语
资助项目	Scientific and Technological Project of China National Offshore Oil Corporation (CNOOC) Research Institute Co., Ltd[CCL2021RCPS0167KQN] ; Open Fund Project for the year 2022 of National Engineering Research Center of Offshore Oil and Gas Exploration[CCL2022RCPS0794RQN]
WOS研究方向	Oceanography
WOS类目	Oceanography
WOS记录号	WOS:001269641500007
出版者	SPRINGER
WOS关键词	SOUTH CHINA SEA ; NORTH CHINA ; MOHO DEPTH ; GRAVITY ; TOMOGRAPHY ; PACIFIC ; DENSITY ; MANTLE ; PLATE ; FIELD
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/186234
专题	海洋地质与环境重点实验室
通讯作者	Zhang, Gongcheng; Wang, Wanyin
作者单位	1.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China 2.China Natl Offshore Oil Corp CNOOC Res Inst Co Ltd, Beijing 100028, Peoples R China 3.Chinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 4.Natl Engn Res Ctr Offshore Oil & Gas Explorat, Beijing 100028, Peoples R China 5.Univ Naples Federico II, Dept Earth Environm & Resources Sci, I-80138 Naples, Italy
推荐引用方式 GB/T 7714	Cai, Mengke,Zhang, Gongcheng,Wang, Wanyin,et al. Study on crustal thickness and the prediction of prolific depressions: the Bohai Basin as an example[J]. ACTA OCEANOLOGICA SINICA,2024,43(4):92-104.
APA	Cai, Mengke,Zhang, Gongcheng,Wang, Wanyin,&Wang, Dingding.(2024).Study on crustal thickness and the prediction of prolific depressions: the Bohai Basin as an example.ACTA OCEANOLOGICA SINICA,43(4),92-104.
MLA	Cai, Mengke,et al."Study on crustal thickness and the prediction of prolific depressions: the Bohai Basin as an example".ACTA OCEANOLOGICA SINICA 43.4(2024):92-104.