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
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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 |
DOI | 10.1093/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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