中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院油气资源研究重点实验室
Seismic imaging of S-wave structures of shallow sediments in the East China Sea using OBN multicomponent Scholte-wave data

文献类型：期刊论文

作者Wang, Yuan4,5; Li, Zhiwei1; Geng, Jianhua2; You, Qingyu3,4,5; Hao, Tianyao3,4,5; Hu, Yaoxing4,5; Zhao, Chunlei4,5; Zhang, Yan4,5; Liu, Yuzhu2
刊名GEOPHYSICS
出版日期2020-11-01
卷号85期号:6页码:EN87-EN104
ISSN号0016-8033
DOI10.1190/GEO2019-0639.1
英文摘要The shear-wave (S-wave) structures of shallow marine sediments are important for offshore geotechnical studies, deep crustal S-wave imaging, multicomponent seismic exploration, and underwater acoustics studies. We have applied the multi component Scholte-wave analysis technique to an active-source shallow marine seismic profile in the East China Sea. Scholte waves have been excited by shots from a 5450 inch(3) air-gun array and their recordings have been conducted at the seafloor using ocean bottom nodes (OBNs). First, we extract the common receiver gathers (CRGs) and correct for the time drift simultaneously using a forward and inverse fast Fourier transform resampling algorithm. Three CRGs of seismic sensors are used for Scholte-wave analysis. Raw sensor CRGs are rotated to the in line, crossline, and vertical coordinate system. The rotated tilt and roll angle are directed using the inner electric compass log value, and the shot inline azimuth is estimated using the particle motion method. Then, the velocity spectra are calculated from the inline and vertical components using the phase-shift method. Higher Scholte-wave modes dominate on the horizontal components, whereas the stronger fundamental mode dominates on the vertical components. The multicomponent velocity spectrum stacking method is adopted to produce the final dispersion energy image. Up to four modes of dispersion curves are retrieved within the 1.1-4.3 Hz frequency band. The multimode dispersion curve inversion is constructed for imaging the shallow sediments. The results suggest a low V-S of 180-650 m/s and few lateral variations within the top 0.5 km of shallow marine sediments in the East China Sea. This model can provide an important reference for offshore geotechnical investigations, especially for OBN multicomponent seismic exploration data processing. The use of OBNs has high feasibility in V-S imaging for shallow marine sediments when combined with the Scholte-wave dispersion-curve inversion.
WOS关键词DISPERSION FUNCTION COMPUTATIONS ; FREQUENCY SURFACE-WAVES ; VALHALL OIL-FIELD ; NEAR-SURFACE ; LATERAL VARIABILITY ; VELOCITY STRUCTURE ; JOINT INVERSION ; WATER ; PROPAGATION ; DECOMPOSITION
资助项目National Key R&D Program of China[2018YFC0308003] ; National Key R&D Program of China[2018YFC1504202] ; National Key R&D Program of China[2018YFC0310101] ; Key deployment project of Center for Ocean Mega-Science of CAS[COMS2019Q10] ; NSFC[41806083] ; NSFC[41974064] ; NSFC[91858212] ; NSFC[41674065]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000618326800014
出版者SOC EXPLORATION GEOPHYSICISTS
资助机构National Key R&D Program of China ; National Key R&D Program of China ; Key deployment project of Center for Ocean Mega-Science of CAS ; Key deployment project of Center for Ocean Mega-Science of CAS ; NSFC ; NSFC ; National Key R&D Program of China ; National Key R&D Program of China ; Key deployment project of Center for Ocean Mega-Science of CAS ; Key deployment project of Center for Ocean Mega-Science of CAS ; NSFC ; NSFC ; National Key R&D Program of China ; National Key R&D Program of China ; Key deployment project of Center for Ocean Mega-Science of CAS ; Key deployment project of Center for Ocean Mega-Science of CAS ; NSFC ; NSFC ; National Key R&D Program of China ; National Key R&D Program of China ; Key deployment project of Center for Ocean Mega-Science of CAS ; Key deployment project of Center for Ocean Mega-Science of CAS ; NSFC ; NSFC
源URL[http://ir.iggcas.ac.cn/handle/132A11/100056]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Li, Zhiwei
作者单位1.Beijing Inst Spacecraft Environm Engn, Sci & Technol Reliabil & Environm Engn Lab, Beijing, Peoples R China
2.Tongji Univ, State Key Lab Marine Geol, Shanghai 200092, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
5.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yuan,Li, Zhiwei,Geng, Jianhua,et al. Seismic imaging of S-wave structures of shallow sediments in the East China Sea using OBN multicomponent Scholte-wave data[J]. GEOPHYSICS,2020,85(6):EN87-EN104.
APA Wang, Yuan.,Li, Zhiwei.,Geng, Jianhua.,You, Qingyu.,Hao, Tianyao.,...&Liu, Yuzhu.(2020).Seismic imaging of S-wave structures of shallow sediments in the East China Sea using OBN multicomponent Scholte-wave data.GEOPHYSICS,85(6),EN87-EN104.
MLA Wang, Yuan,et al."Seismic imaging of S-wave structures of shallow sediments in the East China Sea using OBN multicomponent Scholte-wave data".GEOPHYSICS 85.6(2020):EN87-EN104.

入库方式： OAI收割

来源：地质与地球物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。