Calculation of the inverse data space via sparse inversion

Christos Saragiotis, Panagiotis C. Doulgeris, Dirk Jacob Eric Verschuur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The 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.
Original languageEnglish (US)
Title of host publication73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011
PublisherEAGE Publications
ISBN (Print)9781617829666
DOIs
StatePublished - Dec 22 2015

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