Global optimization of generalized nonhyperbolic moveout approximation for long-offset normal moveout

doi:10.1190/GEO2016-0431.1

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 > 中国科学院地球与行星物理重点实验室

	Global optimization of generalized nonhyperbolic moveout approximation for long-offset normal moveout
	Song, Hanjie 1,2; Zhang, Jinhai 1,2; Yao, Zhenxing 1,2
刊名	GEOPHYSICS
	2018-03-01
卷号	83 期号:2 页码:S141-S149
ISSN号	0016-8033
DOI	10.1190/GEO2016-0431.1
英文摘要	The approximation of normal moveout is essential for estimating the anisotropy parameters of anisotropic media. The generalized nonhyperbolic moveout approximation (GMA) brings considerable improvement in accuracy compared with known analytical approximations. However, this is still prone to relatively large errors in the presence of relatively long offsets and large anisotropic parameters, which would degrade the inversion accuracy due to error accumulation in velocity analysis. We optimize the constant coefficients for all possible groupings of the anellipticity parameter and the offset-to-depth ratio (O/D) within practical ranges. Theoretical analyses and numerical experiments indicate that the traditional optimization scheme, using the two-norm objective function solved by the least-squares method, could not provide an error-constrained result; in addition, a direct optimization without constant-coefficient extension would not lead to a satisfactory accuracy improvement. We construct the objective function using the maximum norm and solve it by using a simulated annealing algorithm; in addition, we extend the total number of constant coefficients in the GMA to achieve additional significant improvements in the accuracy. We use a normalized traveltime and offset so that the optimized constant coefficients are independent of the model. The optimized constant coefficients are obtained over a fine grid of the anellipticity parameter (0-0.5) and the O/D (0-4) that covers most practical ranges. Our optimization scheme does not increase the computational complexity but can significantly improve the accuracy. The relative error after optimization is always below a given tolerable error threshold 0.01%, which is better than the original error 0.21% of GMA. Scanning of the velocity and anellipticity parameter indicates that the original GMA has relatively large errors; in contrast, the optimized GMA can obtain more accurate results, which are essential for flattening the moveout and helpful for reducing error accumulations.
资助项目	National Major Project of China[2017ZX05008-007] ; Youth Innovation Promotion Association CAS[2012054] ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS
WOS关键词	TRANSVERSELY ISOTROPIC MEDIA ; TRAVEL-TIME APPROXIMATIONS ; FINITE-DIFFERENCE OPERATOR ; VTI MEDIA ; ANISOTROPIC MEDIA ; VELOCITY ANALYSIS ; DOMAIN
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	SOC EXPLORATION GEOPHYSICISTS
WOS记录号	WOS:000443595400009
资助机构	National Major Project of China ; National Major Project of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; National Major Project of China ; National Major Project of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; National Major Project of China ; National Major Project of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; National Major Project of China ; National Major Project of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS ; Foundation for Excellent Member of the Youth Innovation Promotion Association CAS
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/88564]
专题	地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者	Song, Hanjie
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Earth Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Song, Hanjie,Zhang, Jinhai,Yao, Zhenxing. Global optimization of generalized nonhyperbolic moveout approximation for long-offset normal moveout[J]. GEOPHYSICS,2018,83(2):S141-S149.
APA	Song, Hanjie,Zhang, Jinhai,&Yao, Zhenxing.(2018).Global optimization of generalized nonhyperbolic moveout approximation for long-offset normal moveout.GEOPHYSICS,83(2),S141-S149.
MLA	Song, Hanjie,et al."Global optimization of generalized nonhyperbolic moveout approximation for long-offset normal moveout".GEOPHYSICS 83.2(2018):S141-S149.