Efficient scattering angle filtering for Full waveform inversion

Handle URI:
http://hdl.handle.net/10754/593143
Title:
Efficient scattering angle filtering for Full waveform inversion
Authors:
Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 )
Abstract:
Controlling the scattering angles between the state and the adjoint variables for the energy admitted into an inversion gradient or an image can help improve these functions for objectives in full waveform inversion (FWI) or seismic imaging. However, the access of the scattering angle information usually requires an axis extension that could be costly, especially in 3D. For the purpose of a scattering angle filter, I develop techniques that utilize the mapping nature (no domain extension) of the filter for constant-velocity background models to interpolate between such filtered gradients using the actual velocity. The concept has well known roots in the application of phase-shift-plus-interpolation utilized commonly in the downward continuation process. If the difference between the minimum and maximum velocity of the background medium is large, we obtain filtered gradients corresponding to more constant velocity backgrounds and use linear interpolation between such velocities. The accuracy of this approximation for the Marmousi model gradient demonstrates the e ectiveness of the approach.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Tariq Alkhalifah (2015) Efficient scattering angle filtering for Full waveform inversion. SEG Technical Program Expanded Abstracts 2015: pp. 1138-1142. doi: 10.1190/segam2015-5887023.1
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2015
Issue Date:
19-Aug-2015
DOI:
10.1190/segam2015-5887023.1
Type:
Article
Additional Links:
http://library.seg.org/doi/10.1190/segam2015-5887023.1
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2016-01-10T10:32:34Zen
dc.date.available2016-01-10T10:32:34Zen
dc.date.issued2015-08-19en
dc.identifier.citationTariq Alkhalifah (2015) Efficient scattering angle filtering for Full waveform inversion. SEG Technical Program Expanded Abstracts 2015: pp. 1138-1142. doi: 10.1190/segam2015-5887023.1en
dc.identifier.doi10.1190/segam2015-5887023.1en
dc.identifier.urihttp://hdl.handle.net/10754/593143en
dc.description.abstractControlling the scattering angles between the state and the adjoint variables for the energy admitted into an inversion gradient or an image can help improve these functions for objectives in full waveform inversion (FWI) or seismic imaging. However, the access of the scattering angle information usually requires an axis extension that could be costly, especially in 3D. For the purpose of a scattering angle filter, I develop techniques that utilize the mapping nature (no domain extension) of the filter for constant-velocity background models to interpolate between such filtered gradients using the actual velocity. The concept has well known roots in the application of phase-shift-plus-interpolation utilized commonly in the downward continuation process. If the difference between the minimum and maximum velocity of the background medium is large, we obtain filtered gradients corresponding to more constant velocity backgrounds and use linear interpolation between such velocities. The accuracy of this approximation for the Marmousi model gradient demonstrates the e ectiveness of the approach.en
dc.language.isoenen
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2015-5887023.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2015en
dc.subjectfilteringen
dc.subjectinversionen
dc.titleEfficient scattering angle filtering for Full waveform inversionen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalSEG Technical Program Expanded Abstracts 2015en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAlkhalifah, Tariq Alien
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.