GYIG OpenIR  > 矿床地球化学国家重点实验室
Anisotropic multi-component seismic identification of gas hydrate in deep water environments of Shenhu area in the South China Sea
Wang, Qing;  Wang, Yun;  Liu, Zhiwei;  Guo, Shiguang
2017
Source PublicationIndian Journal of Geo-Marine Sciences
Volume46Issue:3Pages:453-461
Abstract

Gas hydrate bearing zone are significantly affected by anisotropy in Shenhu area, South China Sea. The research takes the changing velocity field of sea water and anisotropic elastic parameters into account to models for simulation. Full-wave field forward simulation data with different saturation of gas hydrate has been generated. Anisotropy field separation method is used to provide more accurate seismic data of pp and ps waves. Study shows that anisotropy has a significant impact on multi-component AVA characteristics, the values of gradient and polarity reversal angle. In addition, multi component sweetness seismic attribute can be used as significant seismic attribute to identify gas hydrate reservoirs.

KeywordAnisotropy Gas Hydrates Multi-component Ava Seismic Attribute Anisotropy Field Separation
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.gyig.ac.cn/handle/42920512-1/8070
Collection矿床地球化学国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Geochem, Guiyang 550002, Guizhou, Peoples R China
2.China Univ Geosci, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China
Recommended Citation
GB/T 7714
Wang, Qing;Wang, Yun;Liu, Zhiwei;Guo, Shiguang. Anisotropic multi-component seismic identification of gas hydrate in deep water environments of Shenhu area in the South China Sea[J]. Indian Journal of Geo-Marine Sciences,2017,46(3):453-461.
APA Wang, Qing;Wang, Yun;Liu, Zhiwei;Guo, Shiguang.(2017).Anisotropic multi-component seismic identification of gas hydrate in deep water environments of Shenhu area in the South China Sea.Indian Journal of Geo-Marine Sciences,46(3),453-461.
MLA Wang, Qing;Wang, Yun;Liu, Zhiwei;Guo, Shiguang."Anisotropic multi-component seismic identification of gas hydrate in deep water environments of Shenhu area in the South China Sea".Indian Journal of Geo-Marine Sciences 46.3(2017):453-461.
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