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Study on the method of suppressing surface wave by Curvelet transform

Li Jiwei,Zhou Junhua, Liu Xiaobing, Feng Rongchang,Duan Xiaoxu

SEG 2018 Workshop: SEG Seismic Imaging Workshop, Beijing, China, 12–14 November 2018(2019)

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PreviousNext No AccessSEG 2018 Workshop: SEG Seismic Imaging Workshop, Beijing, China, 12–14 November 2018Study on the method of suppressing surface wave by Curvelet transformAuthors: Li JiweiZhou JunhuaLiu XiaobingFeng RongchangDuan XiaoxuLi JiweiSouthwest Geophysical Research Institute, Bureau of Geophysical Prospecting INC., CNPC, ChengDu, 610000, ChinaSearch for more papers by this author, Zhou JunhuaSouthwest Geophysical Research Institute, Bureau of Geophysical Prospecting INC., CNPC, ChengDu, 610000, ChinaSearch for more papers by this author, Liu XiaobingSouthwest Geophysical Research Institute, Bureau of Geophysical Prospecting INC., CNPC, ChengDu, 610000, ChinaSearch for more papers by this author, Feng RongchangSouthwest Geophysical Research Institute, Bureau of Geophysical Prospecting INC., CNPC, ChengDu, 610000, ChinaSearch for more papers by this author, and Duan XiaoxuCollege of Geophysics and Petroleum Resources of Yangtze university, WuHan, 430000, ChinaSearch for more papers by this authorhttps://doi.org/10.1190/SEIM2018-21.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The Curvelet transform has features such as multi-scale, multi-direction, multi-resolution, etc. It can separate the effective wave and the surface wave in the Curvelet domain by using the characteristics of the frequency, velocity, and direction of the surface wave and the effective wave. Thus it can suppress the surface wave. However, the effect of suppressing the surface wave is affected by the degree of overlapping of the surface wave and the effective wave in the Curvelet domain. In actual seismic data, effective wave and surface wave cannot be completely separated in the Curvelet domain. In this paper, a method of Curvelet threshold iterative based on energy ratio is proposed. First, decomposing the effective wave and the surface wave in the Curvelet domain for many times, then, using different frequency bands and different threshold values to perform multiple information reconstruction, which can effectively separate the effective wave and the surface wave. In this way, a good surface wave suppression effect is achieved. Keywords: surface wave, resolution, signal processingPermalink: https://doi.org/10.1190/SEIM2018-21.1FiguresReferencesRelatedDetails SEG 2018 Workshop: SEG Seismic Imaging Workshop, Beijing, China, 12–14 November 2018ISSN (online):2159-6832Copyright: 2019 Pages: 115 publication data© 2018 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 05 Jun 2019 CITATION INFORMATION Li Jiwei, Zhou Junhua, Liu Xiaobing, Feng Rongchang, and Duan Xiaoxu, (2019), "Study on the method of suppressing surface wave by Curvelet transform," SEG Global Meeting Abstracts : 82-85. https://doi.org/10.1190/SEIM2018-21.1 Plain-Language Summary Keywordssurface waveresolutionsignal processingPDF DownloadLoading ...
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curvelet transform,surface wave
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