The P- and S-Wave Decomposition in a Multicomponent Elastic Wavefield Based on the Divergence and Curl Operators and Their Applications in Elastic Reverse Time Migration
文献类型:期刊论文
作者 | Fan, Na4; Xie, Xiao-Bi3; Zhao, Lian-Feng1; Zhou, Xiyan2; Yao, Zhen-Xing1 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
![]() |
出版日期 | 2022 |
卷号 | 60页码:13 |
关键词 | Elastic reverse time migration (ERTM) elastic-wave decomposition |
ISSN号 | 0196-2892 |
DOI | 10.1109/TGRS.2022.3224736 |
英文摘要 | The P- and S-wave separation is an important step in the elastic reverse-time migration (ERTM). It not only removes crosstalk artifacts in the image but also provides additional constrains to subsurface structures by providing images between different wave types. Traditional Helmholtz decomposition based on divergence and curl operations can separate the P and S wave modes but also modify the amplitude, phase and physical dimension of the original coupled wavefields. To recover the separated P- and S-waves to their original forms, we propose a method, in which the corrections to the distorted separated wavefields, including their phase, amplitude and vector polarizations, are organized into two spatial-time domain partial differential equations. Solving these equations can generate the separated P and S wavefields. The method can be conveniently applied in the time-space domain and consistent with most time-domain finite-difference (FD) based ERTM method. To verify the quality of the decomposed P- and S-wave components, we apply them to the ERTM using different elastic image conditions. For the PP image, we use the scalar imaging condition by crosscorrelating the corrected scalar Helmholtz potential wavefield from both source- and receiver-sides. For the PS image, we use the magnitude- and sign-based vector imaging condition by crosscorrelating the magnitudes of the source-side vector P wave and the receiver-side vector S wave, whereas the sign is determined through their dot-product results. Thus, accurate PP- and PS-reflectivity images can be obtained. Several numerical examples are used to verify our elastic wavefield separation method and the ERTM workflow. |
WOS关键词 | IMAGING CONDITION ; DEPTH MIGRATION ; HETEROGENEOUS MEDIA ; SCALAR ; DOMAIN ; PROPAGATION ; SEPARATION ; PHASE ; 2D |
资助项目 | National Natural Science Foundation of China[41604037] ; National Natural Science Foundation of China[41974061] ; Hubei Provincial Natural Science Foundation of China[2022CFB125] ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Ministry of Education[K2021-09] ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province)[UOG2020-09] |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000894950800009 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Ministry of Education ; Ministry of Education ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Ministry of Education ; Ministry of Education ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Ministry of Education ; Ministry of Education ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Hubei Provincial Natural Science Foundation of China ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Open Funds of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Ministry of Education ; Ministry of Education ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) ; Cooperative Innovation Center of Unconventional Oil and Gas (Ministry of Education and Hubei Province) |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/106961] ![]() |
专题 | 地质与地球物理研究所_中国科学院地球与行星物理重点实验室 |
通讯作者 | Fan, Na |
作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China 2.Chengdu Univ Technol, Coll Geophys, Chengdu 610023, Peoples R China 3.Univ Calif St Cruz, Inst Geophys & Planetary Phys, Santa Cruz 95064, CA USA 4.Yangtze Univ, Key Lab Explorat Technol Oil & Gas Resources, Sch Geophys & Oil Resources, Minist Educ, Wuhan 430100, Peoples R China |
推荐引用方式 GB/T 7714 | Fan, Na,Xie, Xiao-Bi,Zhao, Lian-Feng,et al. The P- and S-Wave Decomposition in a Multicomponent Elastic Wavefield Based on the Divergence and Curl Operators and Their Applications in Elastic Reverse Time Migration[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:13. |
APA | Fan, Na,Xie, Xiao-Bi,Zhao, Lian-Feng,Zhou, Xiyan,&Yao, Zhen-Xing.(2022).The P- and S-Wave Decomposition in a Multicomponent Elastic Wavefield Based on the Divergence and Curl Operators and Their Applications in Elastic Reverse Time Migration.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,13. |
MLA | Fan, Na,et al."The P- and S-Wave Decomposition in a Multicomponent Elastic Wavefield Based on the Divergence and Curl Operators and Their Applications in Elastic Reverse Time Migration".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):13. |
入库方式: OAI收割
来源:地质与地球物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。