Application of the continuous wavelet transform in the extraction of directional data on RTM imaging condition wavefields

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dc.citation.journalTitleCt&f-Ciencia Tecnologia Y Futuroeng
dc.contributor.authorPaniagua-Castrillón J.-G.
dc.contributor.authorQuintero-Montoya O.-L.
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:16Z
dc.date.available2021-04-12T14:07:16Z
dc.date.issued2018-01-01
dc.description.abstractLow-frequency artifacts in reverse time migration result from unwanted cross-correlation of the source and receiver wavefields at nonreflecting points along ray-paths. These artifacts can hide important details in migrated models and increase poor interpretation risk. Some methods have been proposed to avoid or reduce the number of these artifacts, preserving reflections, and improving model quality, implementing other strategies such as modification of the wave equation, proposing other imaging conditions, and using image filtering techniques. One of these methods uses wavefield decomposition, correlating components of the wavefields that propagate in opposite directions. We propose a method for extracting directional information from the RTM imaging condition wavefields to obtain characteristics allowing for better, more refined imaging. The method works by separating directional information about the wavefields based on the continuous wavelet transform (CWT), and the analysis of the main changes on the frequency content revealed within the scalogram obtained by a Gaussian wavelet family. Through numerical applications, we demonstrate that this method can effectively remove undesired artifacts in migrated images. In addition, we use the Laguerre-Gauss filtering to improve the results obtained with the proposed method. © 2018 Ecopetrol S.A. All Rights Reserved.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8787
dc.identifier.doi10.29047/01225383.82
dc.identifier.issn01225383
dc.identifier.otherWOS;000456990300006
dc.identifier.otherSCOPUS;2-s2.0-85064180025
dc.identifier.urihttp://hdl.handle.net/10784/27807
dc.language.isospaeng
dc.publisherEcopetrol
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85064180025&doi=10.29047%2f01225383.82&partnerID=40&md5=8a547e477c7153559b7fc637f9d50ac9
dc.rightsEcopetrol
dc.sourceCt&f-Ciencia Tecnologia Y Futuro
dc.subject.keywordGaussian distributioneng
dc.subject.keywordImage enhancementeng
dc.subject.keywordNumerical methodseng
dc.subject.keywordSeismic prospectingeng
dc.subject.keywordContinuous Wavelet Transformeng
dc.subject.keywordContinuous wavelet transformseng
dc.subject.keywordDirectional informationeng
dc.subject.keywordGaussian waveletseng
dc.subject.keywordImaging conditionseng
dc.subject.keywordNumerical applicationseng
dc.subject.keywordReverse time migrationseng
dc.subject.keywordWave field separationeng
dc.subject.keywordWavelet transformseng
dc.subject.keyworddata processingeng
dc.subject.keyworddecomposition analysiseng
dc.subject.keywordGaussian methodeng
dc.subject.keywordimaging methodeng
dc.subject.keywordnumerical modeleng
dc.subject.keywordseismic migrationeng
dc.subject.keywordseismic sourceeng
dc.subject.keywordseparationeng
dc.subject.keywordtransformeng
dc.subject.keywordwave equationeng
dc.subject.keywordwave fieldeng
dc.subject.keywordwavelet analysiseng
dc.titleApplication of the continuous wavelet transform in the extraction of directional data on RTM imaging condition wavefieldseng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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