Skeletonized Least Squares Wave Equation Migration

Handle URI:
http://hdl.handle.net/10754/594709
Title:
Skeletonized Least Squares Wave Equation Migration
Authors:
Zhan, Ge; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
The theory for skeletonized least squares wave equation migration (LSM) is presented. The key idea is, for an assumed velocity model, the source‐side Green's function and the geophone‐side Green's function are computed by a numerical solution of the wave equation. Only the early‐arrivals of these Green's functions are saved and skeletonized to form the migration Green's function (MGF) by convolution. Then the migration image is obtained by a dot product between the recorded shot gathers and the MGF for every trial image point. The key to an efficient implementation of iterative LSM is that at each conjugate gradient iteration, the MGF is reused and no new finitedifference (FD) simulations are needed to get the updated migration image. It is believed that this procedure combined with phase‐encoded multi‐source technology will allow for the efficient computation of wave equation LSM images in less time than that of conventional reverse time migration (RTM).
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2010
Conference/Event name:
SEG Technical Program Expanded Abstracts 2010
Issue Date:
17-Oct-2010
DOI:
10.1190/1.3513550
Type:
Conference Paper
Additional Links:
http://library.seg.org/doi/abs/10.1190/1.3513550
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorZhan, Geen
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2016-01-24T07:40:09Zen
dc.date.available2016-01-24T07:40:09Zen
dc.date.issued2010-10-17en
dc.identifier.doi10.1190/1.3513550en
dc.identifier.urihttp://hdl.handle.net/10754/594709en
dc.description.abstractThe theory for skeletonized least squares wave equation migration (LSM) is presented. The key idea is, for an assumed velocity model, the source‐side Green's function and the geophone‐side Green's function are computed by a numerical solution of the wave equation. Only the early‐arrivals of these Green's functions are saved and skeletonized to form the migration Green's function (MGF) by convolution. Then the migration image is obtained by a dot product between the recorded shot gathers and the MGF for every trial image point. The key to an efficient implementation of iterative LSM is that at each conjugate gradient iteration, the MGF is reused and no new finitedifference (FD) simulations are needed to get the updated migration image. It is believed that this procedure combined with phase‐encoded multi‐source technology will allow for the efficient computation of wave equation LSM images in less time than that of conventional reverse time migration (RTM).en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/abs/10.1190/1.3513550en
dc.subjectimagingen
dc.subjectleast squaresen
dc.subjectwave equationen
dc.titleSkeletonized Least Squares Wave Equation Migrationen
dc.typeConference Paperen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalSEG Technical Program Expanded Abstracts 2010en
dc.conference.date17-22 October, 2010en
dc.conference.nameSEG Technical Program Expanded Abstracts 2010en
dc.conference.locationDenver, COen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorZhan, Geen
kaust.authorSchuster, Gerard T.en
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