Sparse least-squares reverse time migration using seislets

Handle URI:
http://hdl.handle.net/10754/593141
Title:
Sparse least-squares reverse time migration using seislets
Authors:
Dutta, Gaurav ( 0000-0002-2024-1683 ) ; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
We propose sparse least-squares reverse time migration (LSRTM) using seislets as a basis for the reflectivity distribution. This basis is used along with a dip-constrained preconditioner that emphasizes image updates only along prominent dips during the iterations. These dips can be estimated from the standard migration image or from the gradient using plane-wave destruction filters or structural tensors. Numerical tests on synthetic datasets demonstrate the benefits of this method for mitigation of aliasing artifacts and crosstalk noise in multisource least-squares migration.
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division
Citation:
Gaurav Dutta and Gerard T. Schuster (2015) Sparse least-squares reverse time migration using seislets. SEG Technical Program Expanded Abstracts 2015: pp. 4232-4237. doi: 10.1190/segam2015-5869595.1
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2015
Issue Date:
19-Aug-2015
DOI:
10.1190/segam2015-5869595.1
Type:
Article
Additional Links:
http://library.seg.org/doi/10.1190/segam2015-5869595.1
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorDutta, Gauraven
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2016-01-10T10:30:22Zen
dc.date.available2016-01-10T10:30:22Zen
dc.date.issued2015-08-19en
dc.identifier.citationGaurav Dutta and Gerard T. Schuster (2015) Sparse least-squares reverse time migration using seislets. SEG Technical Program Expanded Abstracts 2015: pp. 4232-4237. doi: 10.1190/segam2015-5869595.1en
dc.identifier.doi10.1190/segam2015-5869595.1en
dc.identifier.urihttp://hdl.handle.net/10754/593141en
dc.description.abstractWe propose sparse least-squares reverse time migration (LSRTM) using seislets as a basis for the reflectivity distribution. This basis is used along with a dip-constrained preconditioner that emphasizes image updates only along prominent dips during the iterations. These dips can be estimated from the standard migration image or from the gradient using plane-wave destruction filters or structural tensors. Numerical tests on synthetic datasets demonstrate the benefits of this method for mitigation of aliasing artifacts and crosstalk noise in multisource least-squares migration.en
dc.language.isoenen
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2015-5869595.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2015en
dc.subjectwaveleten
dc.subjectreverse time migrationen
dc.subjectleast squaresen
dc.subjectinversionen
dc.titleSparse least-squares reverse time migration using seisletsen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
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.authorDutta, Gauraven
kaust.authorSchuster, Gerard T.en
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