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Efficient reflection waveform inversion using a locally normalized zero-lag correlative objective function

文献类型：期刊论文

作者He, Bin1,2; Liu, Yike2
刊名GEOPHYSICAL PROSPECTING
出版日期2020-09-15
页码19
关键词Full-waveform inversion Wavefield separation 2D nonlinear inversion
ISSN号0016-8025
DOI10.1111/1365-2478.13017
英文摘要Full-waveform inversion is characterized by cycle-skipping when the starting background model differs significantly from the true model and low-frequency data are unavailable. To mitigate this problem, reflection waveform inversion is applied to provide a background velocity model for full-waveform inversion. This technique attempts to extract background velocity updates along the reflection wavepath by matching the reflection waveforms. However, two issues arise during the implementation of reflection waveform inversion: amplitude and efficiency. The amplitude is always underestimated due to the complex subsurface parameter (i.e. the source signature, density, attenuation etc.). This makes it unreasonable to match the reflection amplitude involved in waveforms, especially in the filed data cases. In addition, generating the background velocity gradient requires the simulation of the reflection wavefield. However, simulating the reflection wavefield is time-consuming. To address the former, we introduced a locally normalized objective function, while for the latter, we used an efficient strategy by avoiding the explicit generation of the reflection wavefield. Results show that applying the proposed method to both synthetic and field data can provide a good background velocity model for full-waveform inversion with high efficiency.
WOS关键词REVERSE-TIME MIGRATION ; FULL ; VELOCITY ; DENSITY ; IMAGE
资助项目National Nature Science Foundation of China[41730425] ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project[IGGCAS-2019031]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000569227900001
出版者WILEY
资助机构National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project ; Institute of Geology and Geophysics, Chinese Academy of Sciences Project
源URL[http://ir.iggcas.ac.cn/handle/132A11/98251]  
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Liu, Yike
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 He, Bin,Liu, Yike. Efficient reflection waveform inversion using a locally normalized zero-lag correlative objective function[J]. GEOPHYSICAL PROSPECTING,2020:19.
APA He, Bin,&Liu, Yike.(2020).Efficient reflection waveform inversion using a locally normalized zero-lag correlative objective function.GEOPHYSICAL PROSPECTING,19.
MLA He, Bin,et al."Efficient reflection waveform inversion using a locally normalized zero-lag correlative objective function".GEOPHYSICAL PROSPECTING (2020):19.

入库方式： OAI收割

来源：地质与地球物理研究所

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