A least-squares correlation-based full traveltime inversion for shallow subsurface velocity reconstruction

doi:10.1190/GEO2018-0581.1

CORC > 地质与地球物理研究所 > 中国科学院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

	A least-squares correlation-based full traveltime inversion for shallow subsurface velocity reconstruction
	Yi, Jia 1,2; Liu, Yike 1; Yang, Zongqi 3; Lu, Huiyi 1; He, Bin 1; Zhang, Zhendong 4
刊名	GEOPHYSICS
	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.
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关键词	WAVE-FORM INVERSION ; MULTICHANNEL ANALYSIS ; SURFACE ; RESOLUTION ; TOMOGRAPHY ; ELEMENT ; BORN ; SHOT ; 2D
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
内容类型	期刊论文
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.