中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Polarity-reversal correction for vector-based elastic reverse time migration

文献类型:期刊论文

作者Yang, Kai1; Dong, Xingpeng3; Zhang, Jianfeng2
刊名GEOPHYSICS
出版日期2021
卷号86期号:1页码:S45-+
ISSN号0016-8033
DOI10.1190/GEO2020-0033.1
英文摘要Polarity reversal is a well-known problem in elastic reverse time migration, and it is closely related to the imaging conditions. The dot product of source and receiver wavefields is a stable and efficient way to construct scalar imaging conditions for decomposed elastic vector wavefields. However, for PP images, the dot product introduces an angle-dependent factor that will change the polarity of image amplitudes at large opening angles, and it is also contaminated by low-wavenumber artifacts when sharp contrasts exist in the velocity model. Those two problems can be suppressed by muting the reflections with large opening angles at the expense of losing useful information. We have developed an elastic inverse-scattering imaging condition that can retain the initial polarity of the image amplitude and significantly reduce the low-wavenumber noise. For PS images, much attention is paid to the polarity-reversal problem at the normal incidence, and the dot-product-based imaging condition successfully avoids this kind of polarity reversal. There is another polarity-reversal problem arising from the sign change of the PS reflection coefficient at the Brewster angle. However, this sign change is often neglected in the construction of a stacked PS image, which will lead to reversed or distorted phases after stacking. We suggested using the S-wave impedance kernel used in elastic full-waveform inversion but only in the PS mode as an alternative to the dot-product imaging condition to alleviate this kind of polarity-reversal problem. In addition to dot-product-based imaging conditions, we analytically compare divergence- and curl-based imaging conditions and the elastic energy norm-based imaging condition with the presented imaging conditions to identify their advantages and weaknesses. Two numerical examples on a two-layer model and the SEAM 2D model are used to illustrate the effectiveness and advantages of the presented imaging conditions in suppressing low-wavenumber noise and correcting the polarityreversal problem.
WOS关键词WAVE-FIELD DECOMPOSITION ; IMAGING CONDITION ; SCALAR ; PRESTACK ; DOMAIN ; INVERSION ; 2D
资助项目National Natural Science Fund of China[42030802] ; National Major Project of China[2017ZX05008-007]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000734884300008
出版者SOC EXPLORATION GEOPHYSICISTS
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 Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project 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 Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project 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 Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project 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 Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/103935]  
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, Jianfeng
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
2.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China
3.Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Yang, Kai,Dong, Xingpeng,Zhang, Jianfeng. Polarity-reversal correction for vector-based elastic reverse time migration[J]. GEOPHYSICS,2021,86(1):S45-+.
APA Yang, Kai,Dong, Xingpeng,&Zhang, Jianfeng.(2021).Polarity-reversal correction for vector-based elastic reverse time migration.GEOPHYSICS,86(1),S45-+.
MLA Yang, Kai,et al."Polarity-reversal correction for vector-based elastic reverse time migration".GEOPHYSICS 86.1(2021):S45-+.

入库方式: OAI收割

来源:地质与地球物理研究所

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