A least-squares correlation-based full traveltime inversion for shallow subsurface velocity reconstruction
文献类型:期刊论文
作者 | Yi, Jia1,2; Liu, Yike1; Yang, Zongqi3; Lu, Huiyi1; He, Bin1; Zhang, Zhendong4 |
刊名 | GEOPHYSICS |
出版日期 | 2019-07-01 |
卷号 | 84期号:4页码:R613-R624 |
ISSN号 | 0016-8033 |
DOI | 10.1190/GEO2018-0581.1 |
英文摘要 | Accurate estimation of shallow subsurface velocity models with complex topography is crucial for statics corrections and imaging deep structures. The correlation-based wave-equation traveltime inversion (CWTI) method is suitable for estimating such shallow subsurface velocity structures. However, the CWTI objective function suffers an inherent resolution-loss problem because the traveltime weighted crosscorrelation misfit does not fall to zero even when the model is perfectly matched. Furthermore, the Born-approximation-based CWTI gradient cannot provide an effective model update during each iteration. To overcome these problems, we have developed a least-squares correlation-based full traveltime inversion (LCFTI) method, in which the least-squares correlation-based objective function was designed to minimize the traveltime weighted difference between the autocorrelation and the crosscorrelation. By incorporating the autocorrelation, LCFTI indicates better convergence and higher resolution than CWTI. The LCFTI model updates are derived using the Rytov approximation to avoid incorrect model updates by emphasizing phase matching. Furthermore, to accurately simulate wave propagation, we use the spectral-element method as the modeling engine, in which the mesh of the complex topography is flexibly represented. Synthetic and field data examples are performed to demonstrate the effectiveness of the proposed method in shallow subsurface velocity reconstruction. |
WOS关键词 | WAVE-FORM INVERSION ; MULTICHANNEL ANALYSIS ; SURFACE ; RESOLUTION ; TOMOGRAPHY ; ELEMENT ; BORN ; SHOT ; 2D |
资助项目 | National Natural Science Foundation of China[41730425] ; National Natural Science Foundation of China[41430321] ; National Major Project of China[2017ZX05008-007] |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
出版者 | SOC EXPLORATION GEOPHYSICISTS |
WOS记录号 | WOS:000480678900067 |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/93327] |
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 | Yi, Jia |
作者单位 | 1.Chinese Acad Sci, Key Lab Petr Resource Res, Inst Geol & Geophys, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.CNPC, BGP INT, Zhuozhou, Peoples R China 4.King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia |
推荐引用方式 GB/T 7714 | Yi, Jia,Liu, Yike,Yang, Zongqi,et al. A least-squares correlation-based full traveltime inversion for shallow subsurface velocity reconstruction[J]. GEOPHYSICS,2019,84(4):R613-R624. |
APA | Yi, Jia,Liu, Yike,Yang, Zongqi,Lu, Huiyi,He, Bin,&Zhang, Zhendong.(2019).A least-squares correlation-based full traveltime inversion for shallow subsurface velocity reconstruction.GEOPHYSICS,84(4),R613-R624. |
MLA | Yi, Jia,et al."A least-squares correlation-based full traveltime inversion for shallow subsurface velocity reconstruction".GEOPHYSICS 84.4(2019):R613-R624. |
入库方式: OAI收割
来源:地质与地球物理研究所
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