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dc.contributor.authorAldawood, Ali
dc.contributor.authorHoteit, Ibrahim
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2016-01-18T08:24:16Z
dc.date.available2016-01-18T08:24:16Z
dc.date.issued2013-08-19
dc.identifier.doi10.1190/segam2013-0828.1
dc.identifier.urihttp://hdl.handle.net/10754/593694
dc.description.abstractLinearized waveform inversion or Least-square migration helps reduce migration artifacts caused by limited acquisition aperture, coarse sampling of sources and receivers, and low subsurface illumination. However, leastsquare migration, based on L2-norm minimization of the misfit function, tends to produce a smeared (smoothed) depiction of the true subsurface reflectivity. Assuming that the subsurface reflectivity distribution is a sparse signal, we use a compressed-sensing (Basis Pursuit) algorithm to retrieve this sparse distribution from a small number of linear measurements. We applied a compressed-sensing algorithm to image a synthetic fault model using dense and sparse acquisition geometries. Tests on synthetic data demonstrate the ability of compressed-sensing to produce highly resolved migrated images. We, also, studied the robustness of the Basis Pursuit algorithm in the presence of Gaussian random noise.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttp://library.seg.org/doi/abs/10.1190/segam2013-0828.1
dc.subjectimaging
dc.subjectfull-waveform inversion
dc.subjecthigh-resolution
dc.subjectKirchhoff
dc.subjectsparse
dc.titleThe possibilities of compressed sensing based migration
dc.typeConference Paper
dc.contributor.departmentEarth Fluid Modeling and Prediction Group
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalSEG Technical Program Expanded Abstracts 2013
dc.conference.date22-27 September 2013
dc.conference.nameSEG Technical Program Expanded Abstracts 2013
dc.conference.locationHouston, Texas, USA
dc.eprint.versionPublisher's Version/PDF
kaust.personAldawood, Ali
kaust.personHoteit, Ibrahim
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2018-06-13T14:57:35Z
dc.date.published-online2013-08-19
dc.date.published-print2013-09


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