Lateral consistency preserved variational mode decomposition (VMD)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2016Lateral consistency preserved variational mode decomposition (VMD)Authors: Fangyu LiTao ZhaoXuan QiKurt MarfurtBo ZhangFangyu LiUniversity of OklahomaSearch for more papers by this author, Tao ZhaoUniversity of OklahomaSearch for more papers by this author, Xuan QiUniversity of OklahomaSearch for more papers by this author, Kurt MarfurtUniversity of OklahomaSearch for more papers by this author, and Bo ZhangUniversity of AlabamaSearch for more papers by this authorhttps://doi.org/10.1190/segam2016-13880188.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Seismic decomposition discriminates different geological expressions by isolating seismic signals of particular frequency ranges. As a novel signal decomposition method, Variational mode decomposition (VMD) exhibits advanced features compared with the classic Empirical Mode Decomposition (EMD) method. VMD can resolve the instinct mode functions (IMFs) more robust and reasonably. Besides a synthetic example, we show a field application of the VMD in sedimentary cycle identification. However, like other high resolution decomposition method, traditional VMD also decomposes data trace by trace, which would result in poor lateral consistency. In order to appropriately apply it on seismic data, a lateral consistency preserved VMD method is proposed to meet the challenges of seismic application, which has been verified through field applications to be valuable for further analyses. Presentation Date: Tuesday, October 18, 2016 Start Time: 9:15:00 AM Location: 170/172 Presentation Type: ORAL Keywords: decomposition, signal processing, attributesPermalink: https://doi.org/10.1190/segam2016-13880188.1FiguresReferencesRelatedDetailsCited byA Review of Variational Mode Decomposition in Seismic Data Analysis12 November 2022 | Surveys in Geophysics, Vol. 44, No. 2Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode DecompositionIEEE Transactions on Geoscience and Remote Sensing, Vol. 60Optimal Lq norm regularization for sparse reflectivity inversionFangyu Li, Rui Xie, Wenzhan Song, Tao Zhao, and Kurt Marfurt17 August 2017AVO and Seismic Inversion I Complete Session17 August 2017Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classificationTao Zhao, Fangyu Li, and Kurt J. Marfurt10 February 2017 | Interpretation, Vol. 5, No. 2 SEG Technical Program Expanded Abstracts 2016ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2016 Pages: 5654 publication data© 2016 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 01 Sep 2016 CITATION INFORMATION Fangyu Li, Tao Zhao, Xuan Qi, Kurt Marfurt, and Bo Zhang, (2016), "Lateral consistency preserved variational mode decomposition (VMD)," SEG Technical Program Expanded Abstracts : 1717-1721. https://doi.org/10.1190/segam2016-13880188.1 Plain-Language Summary Keywordsdecompositionsignal processingattributesPDF DownloadLoading ...