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dc.contributor.authorDutta, Gaurav
dc.contributor.authorAgut, Cyril
dc.contributor.authorGiboli, Matteo
dc.contributor.authorWilliamson, Paul
dc.date.accessioned2017-07-27T11:21:47Z
dc.date.available2017-07-27T11:21:47Z
dc.date.issued2016-09
dc.identifier.citationDutta G, Agut C, Giboli M, Williamson P (2016) Least-squares reverse time migration with radon preconditioning. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13943593.1.
dc.identifier.doi10.1190/segam2016-13943593.1
dc.identifier.urihttp://hdl.handle.net/10754/625273
dc.description.abstractWe present a least-squares reverse time migration (LSRTM) method using Radon preconditioning to regularize noisy or severely undersampled data. A high resolution local radon transform is used as a change of basis for the reflectivity and sparseness constraints are applied to the inverted reflectivity in the transform domain. This reflects the prior that for each location of the subsurface the number of geological dips is limited. The forward and the adjoint mapping of the reflectivity to the local Radon domain and back are done through 3D Fourier-based discrete Radon transform operators. The sparseness is enforced by applying weights to the Radon domain components which either vary with the amplitudes of the local dips or are thresholded at given quantiles. Numerical tests on synthetic and field data validate the effectiveness of the proposed approach in producing images with improved SNR and reduced aliasing artifacts when compared with standard RTM or LSRTM.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2016-13943593.1
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2016
dc.subjectleast-squares migration
dc.subjectRadon
dc.subjectwave equation
dc.subjectdepth migration
dc.subjectimaging
dc.titleLeast-squares reverse time migration with radon preconditioning
dc.typeConference Paper
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalSEG Technical Program Expanded Abstracts 2016
dc.conference.date2011-10-16 to 2011-10-21
dc.conference.nameSEG International Exposition and 86th Annual Meeting, SEG 2016
dc.conference.locationDallas, TX, USA
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionTOTAL SA, , France
kaust.personDutta, Gaurav
refterms.dateFOA2018-06-13T10:25:35Z
dc.date.published-online2016-09
dc.date.published-print2016-09


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