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Fast Least-Squares Reverse Time Migration of OBN Down-Going Multiples

文献类型：期刊论文

作者Zhang, Yanbao3; Liu, Yike1; Yi, Jia2; Liu, Xuejian4
刊名FRONTIERS IN EARTH SCIENCE
出版日期2021-09-14
卷号9页码:14
关键词LSRTM OBN multiples imaging phase-encoding down-going multiples
DOI10.3389/feart.2021.730476
英文摘要Nowadays the ocean bottom node (OBN) acquisition is widely used in oil and gas resource exploration and seismic monitoring. Conventional imaging algorithms of OBN data mainly focus on the processing of up-going primaries and down-going first-order multiples. Up-going multiples and higher-order down-going multiples are generally regarded as noise and should be eliminated or ignored in conventional migration methods. However, multiples carry abundant information about subsurface structures where primaries cannot achieve. To take full advantage of multiples, we propose a migration method using OBN down-going all-order multiples. And then the least-squares optimization algorithm is used to suppress crosstalks. Finally, a phase-encoding-based migration algorithm is developed to cut down the computational cost by blending several common receiver gathers together using random time delays and polarity reversals. Numerical experiments on the complex Marmousi model illustrate that the developed approach can enlarge the imaging area evidently, reduce the computational cost effectively, and enhance the image quality by suppressing crosstalks and improving the resolution.

WOS关键词FREE-SURFACE MULTIPLES ; SHOT RECORDS ; WAVE
资助项目National Nature Science Foundation of China[41730425] ; Special Fund of the Institute of Geophysics, China Earthquake Administration[DQJB20K42] ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project[IGGCAS-2019031]
WOS研究方向Geology
语种英语
WOS记录号WOS:000704671800001
出版者FRONTIERS MEDIA SA
资助机构National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Special Fund of the Institute of Geophysics, China Earthquake Administration ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project
源URL[http://ir.iggcas.ac.cn/handle/132A11/102755]  
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Liu, Yike
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China
2.China Earthquake Adm, China Earthquake Disaster Prevent Ctr, Beijing, Peoples R China
3.China Earthquake Adm, Inst Geophys, Beijing, Peoples R China
4.Penn State Univ, Dept Geosci, University Pk, PA 16802 USA
推荐引用方式
GB/T 7714		 Zhang, Yanbao,Liu, Yike,Yi, Jia,et al. Fast Least-Squares Reverse Time Migration of OBN Down-Going Multiples[J]. FRONTIERS IN EARTH SCIENCE,2021,9:14.
APA Zhang, Yanbao,Liu, Yike,Yi, Jia,&Liu, Xuejian.(2021).Fast Least-Squares Reverse Time Migration of OBN Down-Going Multiples.FRONTIERS IN EARTH SCIENCE,9,14.
MLA Zhang, Yanbao,et al."Fast Least-Squares Reverse Time Migration of OBN Down-Going Multiples".FRONTIERS IN EARTH SCIENCE 9(2021):14.

入库方式： OAI收割

来源：地质与地球物理研究所

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