A fast global optimization algorithm for regularized migration imaging

doi:10.3969/j.issn.0001-5733.2011.03.023

	A fast global optimization algorithm for regularized migration imaging
	Li Zhen-Hua 1,2; Wang Yan-Fei 1; Yang Chang-Chun 1
刊名	CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
	2011-03-01
卷号	54 期号:3 页码:828-834
关键词	Migration Regularization Memoryless Quasi-Newton method Simulated annealing algorithm
ISSN号	0001-5733
DOI	10.3969/j.issn.0001-5733.2011.03.023
文献子类	Article
英文摘要	At the present, seismic migration usually only yields an image of the positions of geological structures, and it cannot supply more accurate information for subsequent lithology analysis and attributes extraction. To get an image with high resolution and true amplitude, we suggest that regularized migration imaging should be used. Since the amount of cost for solving the problem is huge and the kernel matrix is sparse, we propose a new hybrid algorithm which is called Memoryless Quasi-Newton-Simulated Annealing Method. The algorithm not only shows as good performance in searching a local optimized solution as memoryless quasi-Newton method does, but also reaches the global optimized solution just as simulated annealing algorithm does. The global optimized solution obtained by this method not only gets the right positions, but also contains more reliable information for amplitude and other attributes. Theoretic simulations and field data applications are performed. It reveals that the proposed algorithm can attenuate the migration artifacts and provide a better frequency distribution of estimated reflectivity when a proper seismic modeling operator is constructed. Therefore, the proposed algorithm is very promising for seismic imaging.
WOS关键词	DECONVOLUTION
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	SCIENCE CHINA PRESS
WOS记录号	WOS:000289041200023
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/74588]
专题	中国科学院地质与地球物理研究所
通讯作者	Li Zhen-Hua
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Li Zhen-Hua,Wang Yan-Fei,Yang Chang-Chun. A fast global optimization algorithm for regularized migration imaging[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2011,54(3):828-834.
APA	Li Zhen-Hua,Wang Yan-Fei,&Yang Chang-Chun.(2011).A fast global optimization algorithm for regularized migration imaging.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,54(3),828-834.
MLA	Li Zhen-Hua,et al."A fast global optimization algorithm for regularized migration imaging".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 54.3(2011):828-834.