Linearized least-square imaging of internally scattered data

Handle URI:
http://hdl.handle.net/10754/564854
Title:
Linearized least-square imaging of internally scattered data
Authors:
Aldawood, Ali ( 0000-0002-9535-0825 ) ; Hoteit, Ibrahim ( 0000-0002-3751-4393 ) ; Turkiyyah, George M.; Zuberi, M. A H; Alkhalifah, Tariq Ali
Abstract:
Internal multiples deteriorate the quality of the migrated image obtained conventionally by imaging single scattering energy. However, imaging internal multiples properly has the potential to enhance the migrated image because they illuminate zones in the subsurface that are poorly illuminated by single-scattering energy such as nearly vertical faults. Standard migration of these multiples provide subsurface reflectivity distributions with low spatial resolution and migration artifacts due to the limited recording aperture, coarse sources and receivers sampling, and the band-limited nature of the source wavelet. Hence, we apply a linearized least-square inversion scheme to mitigate the effect of the migration artifacts, enhance the spatial resolution, and provide more accurate amplitude information when imaging internal multiples. Application to synthetic data demonstrated the effectiveness of the proposed inversion in imaging a reflector that is poorly illuminated by single-scattering energy. The least-square inversion of doublescattered data helped delineate that reflector with minimal acquisition fingerprint.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program; Earth Science and Engineering Program; Earth Fluid Modeling and Prediction Group
Publisher:
EAGE Publications
Journal:
Proceedings 76th EAGE Conference and Exhibition 2014
Conference/Event name:
76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014
Issue Date:
2014
DOI:
10.3997/2214-4609.20141160
Type:
Conference Paper
ISBN:
9781632666949
Appears in Collections:
Conference Papers; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAldawood, Alien
dc.contributor.authorHoteit, Ibrahimen
dc.contributor.authorTurkiyyah, George M.en
dc.contributor.authorZuberi, M. A Hen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2015-08-04T07:23:10Zen
dc.date.available2015-08-04T07:23:10Zen
dc.date.issued2014en
dc.identifier.isbn9781632666949en
dc.identifier.doi10.3997/2214-4609.20141160en
dc.identifier.urihttp://hdl.handle.net/10754/564854en
dc.description.abstractInternal multiples deteriorate the quality of the migrated image obtained conventionally by imaging single scattering energy. However, imaging internal multiples properly has the potential to enhance the migrated image because they illuminate zones in the subsurface that are poorly illuminated by single-scattering energy such as nearly vertical faults. Standard migration of these multiples provide subsurface reflectivity distributions with low spatial resolution and migration artifacts due to the limited recording aperture, coarse sources and receivers sampling, and the band-limited nature of the source wavelet. Hence, we apply a linearized least-square inversion scheme to mitigate the effect of the migration artifacts, enhance the spatial resolution, and provide more accurate amplitude information when imaging internal multiples. Application to synthetic data demonstrated the effectiveness of the proposed inversion in imaging a reflector that is poorly illuminated by single-scattering energy. The least-square inversion of doublescattered data helped delineate that reflector with minimal acquisition fingerprint.en
dc.publisherEAGE Publicationsen
dc.titleLinearized least-square imaging of internally scattered dataen
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.contributor.departmentEarth Fluid Modeling and Prediction Groupen
dc.identifier.journalProceedings 76th EAGE Conference and Exhibition 2014en
dc.conference.date16 June 2014 through 19 June 2014en
dc.conference.name76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014en
dc.conference.locationAmsterdamen
dc.contributor.institutionAmerican University of Beirut, Lebanonen
kaust.authorAldawood, Alien
kaust.authorHoteit, Ibrahimen
kaust.authorZuberi, M. A Hen
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