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dc.contributor.authorSaragiotis, Christos
dc.contributor.authorDoulgeris, Panagiotis C.
dc.contributor.authorVerschuur, Dirk Jacob Eric
dc.date.accessioned2015-09-10T14:18:18Z
dc.date.available2015-09-10T14:18:18Z
dc.date.issued2015-12-22
dc.identifier.citationSaragiotis, C., Doulgeris, P., & J. Verschuur, D. (2011). Calculation of the Inverse Data Space via Sparse Inversion. 73rd EAGE Conference and Exhibition Incorporating SPE EUROPEC 2011. doi:10.3997/2214-4609.20149264
dc.identifier.isbn9781617829666
dc.identifier.doi10.3997/2214-4609.20149264
dc.identifier.urihttp://hdl.handle.net/10754/577104
dc.description.abstractThe inverse data space provides a natural separation of primaries and surface-related multiples, as the surface multiples map onto the area around the origin while the primaries map elsewhere. However, the calculation of the inverse data is far from trivial as theory requires infinite time and offset recording. Furthermore regularization issues arise during inversion. We perform the inversion by minimizing the least-squares norm of the misfit function by constraining the $ell_1$ norm of the solution, being the inverse data space. In this way a sparse inversion approach is obtained. We show results on field data with an application to surface multiple removal.
dc.publisherEAGE Publications
dc.titleCalculation of the inverse data space via sparse inversion
dc.typeConference Paper
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentYoung Talent Development
dc.identifier.journal73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011
dc.contributor.institutionDelft University of Technology, Netherlands
kaust.personSaragiotis, Christos
dc.date.published-online2015-12-22
dc.date.published-print2011-05-23


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