Random noise attenuation by a selective hybrid approach using f-x empirical mode decomposition

Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2014Random noise attenuation by a selective hybrid approach using f-x empirical mode decompositionAuthors: Yangkang ChenShuwei GanTingting LiuJiang YuanYizhuo ZhangZhaoyu JinYangkang ChenU of Texas at AustinSearch for more papers by this author, Shuwei GanChina U of Petroleum-BeijingSearch for more papers by this author, Tingting LiuChina U of Petroleum-BeijingSearch for more papers by this author, Jiang YuanChina U of Petroleum-BeijingSearch for more papers by this author, Yizhuo ZhangU of EdinburghSearch for more papers by this author, and Zhaoyu JinU of EdinburghSearch for more papers by this authorhttps://doi.org/10.1190/segam2014-0029.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Empirical mode decomposition (EMD) becomes popular recently for random noise attenuation because of its convenient implementation and ability in dealing with non-stationary seismic data. In this paper, we summarize the existing use of EMD in seismic data denoising and introduce a general hybrid scheme which combines f –x EMD with a dipping-events retrieving operator. The novel hybrid scheme can achieve a better denoising performance compared with the conventional f –x EMD and selected dipping event retriever. When f –x EMD is applied to a seismic profile, all the horizontal events will be preserved, while leaving few dipping events and random noise in the noise section, which can be dealt with easily by applying a dipping-events retrieving operator to a specific region for preserving the useful dipping signal. This type of incomplete hybrid approach is termed as selective hybrid approach. Two synthetic and one post-stack field data examples demonstrate a better performance of the proposed approach. Keywords: 2D, algorithm, noise, signal processingPermalink: https://doi.org/10.1190/segam2014-0029.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2014ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2014 Pages: 5183 publication data© 2014 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 05 Aug 2014 CITATION INFORMATION Yangkang Chen, Shuwei Gan, Tingting Liu, Jiang Yuan, Yizhuo Zhang, and Zhaoyu Jin, (2014), "Random noise attenuation by a selective hybrid approach using f-x empirical mode decomposition," SEG Technical Program Expanded Abstracts : 4355-4359. https://doi.org/10.1190/segam2014-0029.1 Plain-Language Summary Keywords2Dalgorithmnoisesignal processingPDF DownloadLoading ...