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Least-squares interferometric migration of microseismic source location with a deblurring filter

文献类型：期刊论文

作者Wu, Shaojiang1,2; Wang, Yibo1,2
刊名GEOPHYSICS
出版日期2023-03-01
卷号88期号:2页码:L37-L52
ISSN号0016-8033
DOI10.1190/GEO2021-0729.1
英文摘要Microseismic source locations play an important role in mon-itoring hydraulic fracturing in unconventional oil and gas explo-ration. Waveform-based source location methods can reliably and automatically image source locations without phase identi-fication. A widely used and representative waveform-based method is interferometric migration (IM), which can eliminate the excitation-time term and image the source location in space by using correlograms of pairwise receivers. IM can avoid the trade-off between the inversions of excitation time and source location, but provides low-resolution source location images with strong migration artifacts. To improve the spatial resolu-tion, we first developed a least-squares interferometric migra-tion (LSIM). LSIM iteratively minimizes the correlogram residuals using the conjugate-gradient (CG) method. It provides a significant improvement in spatial resolution compared with conventional IM but requires a large number of iterations and high computational costs. To overcome this drawback, we de-velop an efficient least-squares interferometric migration with a deblurring filter (DLSIM) for high-resolution microseismic source locations. We introduce the Hessian matrix into the mi-croseismic source location problem and approximate the inverse Hessian with a relatively inexpensive deblurring filter. The de -blurring filter is applied to the updated gradient matrix in the CG algorithm. It could significantly accelerate the convergence rate of the least-squares inversion and meanwhile, provide a high spatial resolution. We use synthetic and real hydraulic fracturing data to demonstrate the robustness and effectiveness of DLSIM. Data noise, velocity error, and wavelet error are considered in the synthetic tests to simulate actual situations. The inverted re-sults find that DLSIM achieves high-resolution source location images after 5-10 iterations that are equivalent to those of LSIM after approximately 50 iterations. Therefore, DLSIM can dra-matically reduce the computational cost owing to its fewer num-ber of iterations compared with LSIM.
WOS关键词TIME ; ALGORITHM ; WAVES
资助项目Scientific Instrument Developing Project of the Chinese Academy of Sciences ; National Key R&D Pro- gram of China[2021YFA0716800] ; CAS Project for Young Scientists in Basic Research[YSBR-020]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000983238300004
出版者SOC EXPLORATION GEOPHYSICISTS - SEG
资助机构Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; National Key R&D Pro- gram of China ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research
源URL[http://ir.iggcas.ac.cn/handle/132A11/110909]  
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Wang, Yibo
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Shaojiang,Wang, Yibo. Least-squares interferometric migration of microseismic source location with a deblurring filter[J]. GEOPHYSICS,2023,88(2):L37-L52.
APA Wu, Shaojiang,&Wang, Yibo.(2023).Least-squares interferometric migration of microseismic source location with a deblurring filter.GEOPHYSICS,88(2),L37-L52.
MLA Wu, Shaojiang,et al."Least-squares interferometric migration of microseismic source location with a deblurring filter".GEOPHYSICS 88.2(2023):L37-L52.

入库方式： OAI收割

来源：地质与地球物理研究所

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