中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Separation and imaging diffractions by a sparsity-promoting model and subspace trust-region algorithm

文献类型:期刊论文

作者Yu, Caixia1; Zhao, Jingtao2; Wang, Yanfei1; Wang, Chengxiang3; Geng, Weifeng3
刊名GEOPHYSICAL JOURNAL INTERNATIONAL
出版日期2017-03-01
卷号208期号:3页码:1756-1763
关键词Image Processing Inverse Theory Wave Scattering And Diffraction
ISSN号0956-540X
DOI10.1093/gji/ggw484
文献子类Article
英文摘要The small-scale geologic inhomogeneities or discontinuities, such as tiny faults, cavities or fractures, generally have spatial scales comparable to or even smaller than the seismic wavelength. Therefore, the seismic responses of these objects are coded in diffractions and an attempt to high-resolution imaging can be made if we can appropriately image them. As the amplitudes of reflections can be several orders of magnitude larger than those of diffractions, one of the key problems of diffraction imaging is to suppress reflections and at the same time to preserve diffractions. A sparsity-promoting method for separating diffractions in the common-offset domain is proposed that uses the Kirchhoff integral formula to enforce the sparsity of diffractions and the linear Radon transform to formulate reflections. A subspace trust-region algorithm that can provide globally convergent solutions is employed for solving this large-scale computation problem. The method not only allows for separation of diffractions in the case of interfering events but also ensures a high fidelity of the separated diffractions. Numerical experiment and field application demonstrate the good performance of the proposed method in imaging the small-scale geological features related to the migration channel and storage spaces of carbonate reservoirs.
WOS关键词SEISMIC DIFFRACTIONS ; VELOCITY ANALYSIS ; ANGLE GATHERS ; MIGRATION ; SECTIONS
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000396818900035
出版者OXFORD UNIV PRESS
资助机构National Natural Science Foundation of China(91630202 ; Collaboration Project of Seismic Imaging in Elastic Medium of the China National Petroleum Corporation ; 41325016 ; 41604125) ; National Natural Science Foundation of China(91630202 ; Collaboration Project of Seismic Imaging in Elastic Medium of the China National Petroleum Corporation ; 41325016 ; 41604125) ; National Natural Science Foundation of China(91630202 ; Collaboration Project of Seismic Imaging in Elastic Medium of the China National Petroleum Corporation ; 41325016 ; 41604125) ; National Natural Science Foundation of China(91630202 ; Collaboration Project of Seismic Imaging in Elastic Medium of the China National Petroleum Corporation ; 41325016 ; 41604125)
源URL[http://ir.iggcas.ac.cn/handle/132A11/53044]  
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Zhao, Jingtao
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
2.China Univ Min & Technol Beijing, State Key Lab Coal Resources & Safe Min, Beijing 100083, Peoples R China
3.CNPC, BGP Inc, Res Dev Ctr, Zhuozhou 072751, Herts, Peoples R China
推荐引用方式
GB/T 7714
Yu, Caixia,Zhao, Jingtao,Wang, Yanfei,et al. Separation and imaging diffractions by a sparsity-promoting model and subspace trust-region algorithm[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2017,208(3):1756-1763.
APA Yu, Caixia,Zhao, Jingtao,Wang, Yanfei,Wang, Chengxiang,&Geng, Weifeng.(2017).Separation and imaging diffractions by a sparsity-promoting model and subspace trust-region algorithm.GEOPHYSICAL JOURNAL INTERNATIONAL,208(3),1756-1763.
MLA Yu, Caixia,et al."Separation and imaging diffractions by a sparsity-promoting model and subspace trust-region algorithm".GEOPHYSICAL JOURNAL INTERNATIONAL 208.3(2017):1756-1763.

入库方式: OAI收割

来源:地质与地球物理研究所

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