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Sparse Constrained Least-Squares Reverse Time Migration Based on Kirchhoff Approximation

文献类型：期刊论文

作者Xu Hong-Qiao1,2,3; Wang Xiao-Yi1,2,3; Wang Chen-Yuan1,2,3; Zhang Jiang-Jie2,3
刊名FRONTIERS IN EARTH SCIENCE
出版日期2021-09-03
卷号9页码:9
关键词least-squares reverse time migration (LSRTM) kirchhoff approximation L1-norm regularization sparsity constraint born approximation
DOI10.3389/feart.2021.731697
英文摘要Least-squares reverse time migration (LSRTM) is powerful for imaging complex geological structures. Most researches are based on Born modeling operator with the assumption of small perturbation. However, studies have shown that LSRTM based on Kirchhoff approximation performs better; in particular, it generates a more explicit reflected subsurface and fits large offset data well. Moreover, minimizing the difference between predicted and observed data in a least-squares sense leads to an average solution with relatively low quality. This study applies L1-norm regularization to LSRTM (L1-LSRTM) based on Kirchhoff approximation to compensate for the shortcomings of conventional LSRTM, which obtains a better reflectivity image and gets the residual and resolution in balance. Several numerical examples demonstrate that our method can effectively mitigate the deficiencies of conventional LSRTM and provide a higher resolution image profile.
WOS关键词INVERSION ; BORN
资助项目National Natural Science Fund of China[42074158]
WOS研究方向Geology
语种英语
WOS记录号WOS:000724290500001
出版者FRONTIERS MEDIA SA
资助机构National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China ; National Natural Science Fund of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/103868]  
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Zhang Jiang-Jie
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Xu Hong-Qiao,Wang Xiao-Yi,Wang Chen-Yuan,et al. Sparse Constrained Least-Squares Reverse Time Migration Based on Kirchhoff Approximation[J]. FRONTIERS IN EARTH SCIENCE,2021,9:9.
APA Xu Hong-Qiao,Wang Xiao-Yi,Wang Chen-Yuan,&Zhang Jiang-Jie.(2021).Sparse Constrained Least-Squares Reverse Time Migration Based on Kirchhoff Approximation.FRONTIERS IN EARTH SCIENCE,9,9.
MLA Xu Hong-Qiao,et al."Sparse Constrained Least-Squares Reverse Time Migration Based on Kirchhoff Approximation".FRONTIERS IN EARTH SCIENCE 9(2021):9.

入库方式： OAI收割

来源：地质与地球物理研究所

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