An application of sparse inversion on the calculation of the inverse data space of geophysical data

Handle URI:
http://hdl.handle.net/10754/564399
Title:
An application of sparse inversion on the calculation of the inverse data space of geophysical data
Authors:
Saragiotis, Christos; Doulgeris, Panagiotis C.; Verschuur, Eric
Abstract:
Multiple reflections as observed in seismic reflection measurements often hide arrivals from the deeper target reflectors and need to be removed. 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 and by constraining the 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. © 2011 IEEE.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2011 17th International Conference on Digital Signal Processing (DSP)
Conference/Event name:
17th International Conference on Digital Signal Processing, DSP 2011
Issue Date:
Jul-2011
DOI:
10.1109/ICDSP.2011.6004886
Type:
Conference Paper
ISBN:
9781457702747
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSaragiotis, Christosen
dc.contributor.authorDoulgeris, Panagiotis C.en
dc.contributor.authorVerschuur, Ericen
dc.date.accessioned2015-08-04T06:26:16Zen
dc.date.available2015-08-04T06:26:16Zen
dc.date.issued2011-07en
dc.identifier.isbn9781457702747en
dc.identifier.doi10.1109/ICDSP.2011.6004886en
dc.identifier.urihttp://hdl.handle.net/10754/564399en
dc.description.abstractMultiple reflections as observed in seismic reflection measurements often hide arrivals from the deeper target reflectors and need to be removed. 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 and by constraining the 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. © 2011 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleAn application of sparse inversion on the calculation of the inverse data space of geophysical dataen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journal2011 17th International Conference on Digital Signal Processing (DSP)en
dc.conference.date6 July 2011 through 8 July 2011en
dc.conference.name17th International Conference on Digital Signal Processing, DSP 2011en
dc.conference.locationCorfuen
dc.contributor.institutionLaboratory of Acoustical Imaging and Sound Control, Delft University of Technology, Netherlandsen
kaust.authorSaragiotis, Christosen
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