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Correlative Full-Intensity Waveform Inversion

文献类型：期刊论文

作者He, Bin1,2; Liu, Yike3; Lu, Huiyi3; Zhang, Zhendong4
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2020-10-01
卷号58期号:10页码:6983-6994
关键词Data models Linear programming Frequency-domain analysis Bandwidth Scattering Geology Geophysics Cycle-skipping full-waveform inversion (FWI) intensity low frequency source-independent
ISSN号0196-2892
DOI10.1109/TGRS.2020.2978433
英文摘要Full-waveform inversion (FWI) is considered an effective technique for building high-resolution velocity models by fitting observed seismology waveforms. When the observed waveforms lack low frequencies or when the starting model is dissimilar to the true model, FWI usually suffers from cycle-skipping problems. To mitigate this difficulty, we propose a new correlative objective function that matches the phase differences between the seismic-waveform intensities to provide a good starting model. The waveform intensity separates the frequency band of the original data into an ultralow-frequency part and a higher frequency part, even when the original data lacking in low-frequency information. As the low-frequency part of the intensity is less prone to the cycle-skipping problem, it can be used to build an initial model for FWI. Furthermore, the source wavelets, in practice, are estimated from the observed data, which may be inaccurate in amplitude, phase shift, and time delay. To mitigate the inaccurate-source problem, a Wiener filter is constructed to build a source-independent objective function. Applications to the Marmousi model and Chevron blind-test model demonstrate that the proposed method converges to an acceptable initial model for conventional FWI. It is highly efficient and insensitive to inaccurate source wavelets, including inaccurate amplitude, phase shift, and time delays.
WOS关键词TRAVEL-TIME INVERSION ; NONLINEAR INVERSION ; NUMBER INFORMATION ; MIGRATION ; FWI
资助项目Institute of Geology and Geophysics Project[IGGCAS-2019031] ; National Nature Science Foundation of China[41730425] ; National Nature Science Foundation of China[41430321] ; National Oil and Gas Major Project of China[2017ZX05008-007]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000573923100016
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics 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 ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics 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 ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics 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 ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics Project ; Institute of Geology and Geophysics 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 ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/98276]  
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.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Lab Petr Resource Res, Beijing 100029, Peoples R China
4.King Abdullah Univ Sci & Technol, Thuwal 239556900, Saudi Arabia
推荐引用方式
GB/T 7714		 He, Bin,Liu, Yike,Lu, Huiyi,et al. Correlative Full-Intensity Waveform Inversion[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2020,58(10):6983-6994.
APA He, Bin,Liu, Yike,Lu, Huiyi,&Zhang, Zhendong.(2020).Correlative Full-Intensity Waveform Inversion.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(10),6983-6994.
MLA He, Bin,et al."Correlative Full-Intensity Waveform Inversion".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.10(2020):6983-6994.

入库方式： OAI收割

来源：地质与地球物理研究所

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