Prestack correlative least-squares reverse time migration

doi:10.1190/GEO2016-0416.1

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 > 中国科学院页岩气与地质工程重点实验室

	Prestack correlative least-squares reverse time migration
	Liu, Xuejian 1,2; Liu, Yike 1; Lu, Huiyi 1; Hu, Hao 3; Khan, Majid 1,2
刊名	GEOPHYSICS
	2017-03-01
卷号	82 期号:2 页码:S159-S172
ISSN号	0016-8033
DOI	10.1190/GEO2016-0416.1
文献子类	Article
英文摘要	In the correlative least-squares reverse time migration (CLSRTM) scheme, a stacked image is updated using a gradient-based inversion algorithm. However, CLSRTM experiences the incoherent stacking of different shots during each iteration due to the use of an imperfect velocity, which leads to image smearing. To reduce the sensitivity to velocity errors, we have developed prestack correlative least-squares reverse time migration (PCLSRTM), in which a gradient descent algorithm using a newly defined initial image and an efficiently defined analytical step length is developed to separately seek the optimal image for each shot gather before the final stacking. Furthermore, a weighted objective function is also designed for PCLSRTM, so that the data-domain gradient can avoid a strong truncation effect. Numerical experiments on a three-layer-model as well as a marine synthetic and a field data set reveal the merits of PCLSRTM. In the presence of velocity errors, PCLSRTM shows better convergence and provides higher quality images as compared with CLSRTM. With the newly defined initial image, PCLSRTM can effectively handle observed data with unbalanced amplitudes. By using a weighted objective function, PCLSRTM can provide an image with enhanced resolution and balanced amplitude while avoiding many imaging artifacts.
WOS关键词	WAVE-EQUATION ; MULTIPLES ; INVERSION
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	SOC EXPLORATION GEOPHYSICISTS
WOS记录号	WOS:000396852200044
资助机构	National Natural Science Foundation of China(41430321 ; Strategic Priority Research Program of the Chinese Academy of Science(XDB10050300) ; 41374138) ; National Natural Science Foundation of China(41430321 ; Strategic Priority Research Program of the Chinese Academy of Science(XDB10050300) ; 41374138) ; National Natural Science Foundation of China(41430321 ; Strategic Priority Research Program of the Chinese Academy of Science(XDB10050300) ; 41374138) ; National Natural Science Foundation of China(41430321 ; Strategic Priority Research Program of the Chinese Academy of Science(XDB10050300) ; 41374138)
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/53031]
专题	地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者	Liu, Xuejian
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Univ Houston, Dept Earth & Atmospher Sci, Houston, TX 77004 USA
推荐引用方式 GB/T 7714	Liu, Xuejian,Liu, Yike,Lu, Huiyi,et al. Prestack correlative least-squares reverse time migration[J]. GEOPHYSICS,2017,82(2):S159-S172.
APA	Liu, Xuejian,Liu, Yike,Lu, Huiyi,Hu, Hao,&Khan, Majid.(2017).Prestack correlative least-squares reverse time migration.GEOPHYSICS,82(2),S159-S172.
MLA	Liu, Xuejian,et al."Prestack correlative least-squares reverse time migration".GEOPHYSICS 82.2(2017):S159-S172.