Scattering angle-based filtering via extension in velocity

Handle URI:
http://hdl.handle.net/10754/625261
Title:
Scattering angle-based filtering via extension in velocity
Authors:
Kazei, Vladimir; Tessmer, Ekkehart; Alkhalifah, Tariq
Abstract:
The scattering angle between the source and receiver wavefields can be utilized in full-waveform inversion (FWI) and in reverse-time migration (RTM) for regularization and quality control or to remove low frequency artifacts. The access to the scattering angle information is costly as the relation between local image features and scattering angles has non-stationary nature. For the purpose of a more efficient scattering angle information extraction, we develop techniques that utilize the simplicity of the scattering angle based filters for constantvelocity background models. We split the background velocity model into several domains with different velocity ranges, generating an
KAUST Department:
King Abdullah University of Science and Technology, , Saudi Arabia
Citation:
Kazei V, Tessmer E, Alkhalifah T (2016) Scattering angle-based filtering via extension in velocity. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13870908.1.
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2016
Conference/Event name:
SEG International Exposition and 86th Annual Meeting, SEG 2016
Issue Date:
6-Sep-2016
DOI:
10.1190/segam2016-13870908.1
Type:
Conference Paper
Sponsors:
We thank KAUST, the WIT consortium and G-RISC (German-Russian Interdisciplinary Science Center) for support. Vladimir Kazei is also grateful to Prof. Paul Sava of the Colorado School of Mines for discussions on extensions of seismic images.
Additional Links:
http://library.seg.org/doi/10.1190/segam2016-13870908.1
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorKazei, Vladimiren
dc.contributor.authorTessmer, Ekkeharten
dc.contributor.authorAlkhalifah, Tariqen
dc.date.accessioned2017-07-26T06:19:10Z-
dc.date.available2017-07-26T06:19:10Z-
dc.date.issued2016-09-06en
dc.identifier.citationKazei V, Tessmer E, Alkhalifah T (2016) Scattering angle-based filtering via extension in velocity. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13870908.1.en
dc.identifier.doi10.1190/segam2016-13870908.1en
dc.identifier.urihttp://hdl.handle.net/10754/625261-
dc.description.abstractThe scattering angle between the source and receiver wavefields can be utilized in full-waveform inversion (FWI) and in reverse-time migration (RTM) for regularization and quality control or to remove low frequency artifacts. The access to the scattering angle information is costly as the relation between local image features and scattering angles has non-stationary nature. For the purpose of a more efficient scattering angle information extraction, we develop techniques that utilize the simplicity of the scattering angle based filters for constantvelocity background models. We split the background velocity model into several domains with different velocity ranges, generating anen
dc.description.sponsorshipWe thank KAUST, the WIT consortium and G-RISC (German-Russian Interdisciplinary Science Center) for support. Vladimir Kazei is also grateful to Prof. Paul Sava of the Colorado School of Mines for discussions on extensions of seismic images.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2016-13870908.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2016en
dc.titleScattering angle-based filtering via extension in velocityen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technology, , Saudi Arabiaen
dc.identifier.journalSEG Technical Program Expanded Abstracts 2016en
dc.conference.date2011-10-16 to 2011-10-21en
dc.conference.nameSEG International Exposition and 86th Annual Meeting, SEG 2016en
dc.conference.locationDallas, TX, USAen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionUniversity of Hamburg, , Germanyen
kaust.authorKazei, Vladimiren
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