Least-squares reverse time migration with an angle-dependent weighting factor
Yang, Kai1; Zhang, Jianfeng1,2
刊名GEOPHYSICS
2018-05-01
卷号83期号:3页码:S299-S310
ISSN号0016-8033
DOI10.1190/GEO2017-0207.1
英文摘要Least-squares reverse time migration (LSRTM) produces higher quality images than conventional RTM. However, directly using the standard gradient formula, the inverted images suffer from low-wavenumber noise. Using a simple high-pass filter on the gradient can alleviate the effect of the low-wavenumber noise. But, owing to the illumination issue, the amplitudes are not balanced and in the deep part they are often weak. These two issues can be mitigated by the iterative approach, but it needs more iterations. We introduced an angle-dependent weighting factor to weight the gradient of LSRTM to suppress the low-wavenumber noise and also to emphasize the gradient in the deep part. An optimal step length for the L2-norm objective function is also presented to scale the gradient to the right order. Two numerical examples performed with the data synthesized on the Sigsbee2A and Marmousi models indicate that when using this weighted gradient combined with the preconditioned l-BFGS algorithm with the optimal step length, only a few iterations can achieve satisfying results.
资助项目National Natural Science Fund of China[41330316] ; National Natural Science Fund of China[41574135] ; National Major Project of China[2017ZX05008-007]
WOS关键词WAVE-EQUATION ; IMAGING CONDITION ; REFLECTION DATA ; ENERGY NORM ; INVERSION ; MULTIPLES ; NEWTON
WOS研究方向Geochemistry & Geophysics
语种英语
出版者SOC EXPLORATION GEOPHYSICISTS
WOS记录号WOS:000443596300030
资助机构National Natural Science Fund of China ; National Major Project of China ; National Natural Science Fund of China ; National Major Project of China ; National Natural Science Fund of China ; National Major Project of China ; National Natural Science Fund of China ; National Major Project of China
内容类型期刊论文
源URL[http://ir.iggcas.ac.cn/handle/132A11/88452]  
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Yang, Kai
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Yang, Kai,Zhang, Jianfeng. Least-squares reverse time migration with an angle-dependent weighting factor[J]. GEOPHYSICS,2018,83(3):S299-S310.
APA Yang, Kai,&Zhang, Jianfeng.(2018).Least-squares reverse time migration with an angle-dependent weighting factor.GEOPHYSICS,83(3),S299-S310.
MLA Yang, Kai,et al."Least-squares reverse time migration with an angle-dependent weighting factor".GEOPHYSICS 83.3(2018):S299-S310.
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