Denoising methods of OBS data based on sparse representation

doi:10.6038/cjg2018L0130

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

	Denoising methods of OBS data based on sparse representation
	Nan FangZhou 1,2,3; Xu Ya 1,2; Liu Wei 1,2,3; Liu LiHua1,2 ; Hao TianYao 1,2,3; You QingYu 1,2,3
刊名	CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
	2018-04-01
卷号	61 期号:4 页码:1519-1528
关键词	OBS Sparse representation Dictionary Compressed sensing Curvelet transform L-0/L-1
ISSN号	0001-5733
DOI	10.6038/cjg2018L0130
文献子类	Article
英文摘要	Noise suppression is the basis for OBS data interpretation and subsequent inversion. Combining Curvelet transform and compression sensing, we propose a noise suppression method for OBS data using sparse representation. Comparing to the wavelet method, the Curvelet transform has advantage in identifying linear anomalies on a parabolic scale, which permits to reconstruct OBS data in a sparse representation domain. The sparse data is enhanced and reconstructed by the means of compression sensing, followed by transforming the coefficient to get iterative filtered by the cooling threshold of L-1, then an optimal coefficient is resolved. Our study shows iterative filtering in the Curvelet domain with a cooling threshold can be utilized in noise suppression of OBS data. Comparison of wavelet and Curvelet transforms shows that the Curvelet method has a better S/N ratio in the circumstance of the same amount iterations of noise suppression. We use this new method to enhance the OBS data signal acquired from the Bohai Bay experiment and show clearer identification of the seismic phases and better S/N ratios, which facilitates picking up seismic phases from data and subsequent inversion of velocity models.
WOS关键词	ORTHOGONAL MATCHING PURSUIT ; SEISMIC DATA RECOVERY ; CURVELET ; RECONSTRUCTION ; FRAMES
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000430371500025
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/88320]
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	Xu Ya
作者单位	1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Nan FangZhou,Xu Ya,Liu Wei,et al. Denoising methods of OBS data based on sparse representation[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2018,61(4):1519-1528.
APA	Nan FangZhou,Xu Ya,Liu Wei,Liu LiHua,Hao TianYao,&You QingYu.(2018).Denoising methods of OBS data based on sparse representation.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,61(4),1519-1528.
MLA	Nan FangZhou,et al."Denoising methods of OBS data based on sparse representation".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 61.4(2018):1519-1528.