A compressive sensing approach to the calculation of the inverse data space

Handle URI:
http://hdl.handle.net/10754/575753
Title:
A compressive sensing approach to the calculation of the inverse data space
Authors:
Khan, Babar Hasan; Saragiotis, Christos; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 )
Abstract:
Seismic processing in the Inverse Data Space (IDS) has its advantages like the task of removing the multiples simply becomes muting the zero offset and zero time data in the inverse domain. Calculation of the Inverse Data Space by sparse inversion techniques has seen mitigation of some artifacts. We reformulate the problem by taking advantage of some of the developments from the field of Compressive Sensing. The seismic data is compressed at the sensor level by recording projections of the traces. We then process this compressed data directly to estimate the inverse data space. Due to the smaller number of data set we also gain in terms of computational complexity.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program; Earth Science and Engineering Program
Publisher:
EAGE Publications
Journal:
74th EAGE Conference and Exhibition incorporating EUROPEC 2012
Conference/Event name:
74th EAGE Conference and Exhibition incorporating EUROPEC 2012
Issue Date:
2012
DOI:
10.3997/2214-4609.20148500
Type:
Conference Paper
ISBN:
9781629937908
Appears in Collections:
Conference Papers; Environmental Science and Engineering Program; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorKhan, Babar Hasanen
dc.contributor.authorSaragiotis, Christosen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2015-08-24T09:25:17Zen
dc.date.available2015-08-24T09:25:17Zen
dc.date.issued2012en
dc.identifier.isbn9781629937908en
dc.identifier.doi10.3997/2214-4609.20148500en
dc.identifier.urihttp://hdl.handle.net/10754/575753en
dc.description.abstractSeismic processing in the Inverse Data Space (IDS) has its advantages like the task of removing the multiples simply becomes muting the zero offset and zero time data in the inverse domain. Calculation of the Inverse Data Space by sparse inversion techniques has seen mitigation of some artifacts. We reformulate the problem by taking advantage of some of the developments from the field of Compressive Sensing. The seismic data is compressed at the sensor level by recording projections of the traces. We then process this compressed data directly to estimate the inverse data space. Due to the smaller number of data set we also gain in terms of computational complexity.en
dc.publisherEAGE Publicationsen
dc.titleA compressive sensing approach to the calculation of the inverse data spaceen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journal74th EAGE Conference and Exhibition incorporating EUROPEC 2012en
dc.conference.date4-7 June 2012en
dc.conference.name74th EAGE Conference and Exhibition incorporating EUROPEC 2012en
dc.conference.locationCopenhagen, Denmarken
kaust.authorAlkhalifah, Tariq Alien
kaust.authorKhan, Babar Hasanen
kaust.authorSaragiotis, Christosen
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