Dynamic Convolution-based Misfit Function for Time Domain Full Waveform Inversion

doi:10.1007/s00024-018-1968-9

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

	Dynamic Convolution-based Misfit Function for Time Domain Full Waveform Inversion
	Guo, Xuebao 1,2,3; Liu, Hong 1,2; Shi, Ying 3; Wang, Weihong 3; Zhang, Zhen 4; Jing, Hongliang 5
刊名	PURE AND APPLIED GEOPHYSICS
	2019
卷号	176 期号:1 页码:189-202
关键词	Convolved wavefield dynamic convolution Green function nonlinearity reference trace
ISSN号	0033-4553
DOI	10.1007/s00024-018-1968-9
英文摘要	Under the same propagation operator, the precision of the seismic wavelet determines whether synthetic data can match field data accurately. By constructing the convolution wavefield objective function, the source difference between simulated and observed data is ignored, thus avoiding the source wavelet estimation. Theoretically, this process has no restriction on the accuracy of the wavelet, and a multi-scale inversion strategy can be implemented by using a source wavelet with different dominant frequencies. When the propagation operator used does not conform with reality, even if both the wavelet and the parameter mode are accurate, it is impossible to simulate the full waveforms of the observed data. Meanwhile, the difference in the Green function brings new discrepancy to the convolution wavefield objective function and affects the final inversion results. The method presented in this paper is based on the convolution wavefield objective function. On the basis of an original single reference trace, we discuss the performance of the convolution wavefield-type objective function under multiple reference traces selected from different offsets. After introducing the changed wavefield information, the objective function has the ability to adapt to different types of data. The analysis shows that nonlinearity is significantly increased after introducing the different wavefield information and also increases with inversion frequency. Even for anisotropic data, it is still possible to give a relatively accurate structure at the low-frequency stage, which shows that the wavefield information from different offsets can help to weaken the artifacts introduced by operator mismatch, thus providing more possibilities for the application of acoustic wave equation inversion.
资助项目	Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Major State Research Development Program of China[2016YFC0601101] ; National Natural Science Foundation of China[41574117] ; National Natural Science Foundation of China[41474118] ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars[JC2016006] ; Northeast Petroleum University Excellent Scientific Talent Fund[GLJHB201601]
WOS关键词	TRAVEL-TIME
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	SPRINGER BASEL AG
WOS记录号	WOS:000458464400010
资助机构	Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Major State Research Development Program of China ; Major State Research Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Major State Research Development Program of China ; Major State Research Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Major State Research Development Program of China ; Major State Research Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Elastic Wave Seismic Imaging Technology Cooperation R & D Project of China National Petroleum Corporation ; Major State Research Development Program of China ; Major State Research Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Heilongjiang Province Natural Science Fund for Distinguished Young Scholars ; Northeast Petroleum University Excellent Scientific Talent Fund ; Northeast Petroleum University Excellent Scientific Talent Fund
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/90688]
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	Guo, Xuebao
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Northeast Petr Univ, Sch Earth Sci, Daqing 163318, Peoples R China 4.Tarim Oilfield Co, Res Inst Explorat & Dev, PetroChina, Korla 841000, Xinjiang, Peoples R China 5.BGP Inc, CNPC, Tuha Div, Hami 839009, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Guo, Xuebao,Liu, Hong,Shi, Ying,et al. Dynamic Convolution-based Misfit Function for Time Domain Full Waveform Inversion[J]. PURE AND APPLIED GEOPHYSICS,2019,176(1):189-202.
APA	Guo, Xuebao,Liu, Hong,Shi, Ying,Wang, Weihong,Zhang, Zhen,&Jing, Hongliang.(2019).Dynamic Convolution-based Misfit Function for Time Domain Full Waveform Inversion.PURE AND APPLIED GEOPHYSICS,176(1),189-202.
MLA	Guo, Xuebao,et al."Dynamic Convolution-based Misfit Function for Time Domain Full Waveform Inversion".PURE AND APPLIED GEOPHYSICS 176.1(2019):189-202.