Multi-source least-squares reverse time migration

Handle URI:
http://hdl.handle.net/10754/562219
Title:
Multi-source least-squares reverse time migration
Authors:
Dai, Wei; Fowler, Paul J.; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
Least-squares migration has been shown to improve image quality compared to the conventional migration method, but its computational cost is often too high to be practical. In this paper, we develop two numerical schemes to implement least-squares migration with the reverse time migration method and the blended source processing technique to increase computation efficiency. By iterative migration of supergathers, which consist in a sum of many phase-encoded shots, the image quality is enhanced and the crosstalk noise associated with the encoded shots is reduced. Numerical tests on 2D HESS VTI data show that the multisource least-squares reverse time migration (LSRTM) algorithm suppresses migration artefacts, balances the amplitudes, improves image resolution and reduces crosstalk noise associated with the blended shot gathers. For this example, the multisource LSRTM is about three times faster than the conventional RTM method. For the 3D example of the SEG/EAGE salt model, with a comparable computational cost, multisource LSRTM produces images with more accurate amplitudes, better spatial resolution and fewer migration artefacts compared to conventional RTM. The empirical results suggest that multisource LSRTM can produce more accurate reflectivity images than conventional RTM does with a similar or less computational cost. The caveat is that the LSRTM image is sensitive to large errors in the migration velocity model. © 2012 European Association of Geoscientists & Engineers.
KAUST Department:
Earth Science and Engineering Program; Earth Sciences and Engineering Program; Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program
Publisher:
Wiley
Journal:
Geophysical Prospecting
Issue Date:
15-Jun-2012
DOI:
10.1111/j.1365-2478.2012.01092.x
Type:
Article
ISSN:
00168025
Sponsors:
We thank the sponsors of Center for Subsurface Imaging and Fluid Modeling (CSIM) consortium for their financial support, and we thank the HPC and IT research computing group of King Abdullah University of Science and Technology for providing us their clusters and technical support. This work was started at WesternGeco when the first author was an intern there. We are grateful to WesternGeco for providing computation resources for early numerical tests and for permission to publish this paper.
Appears in Collections:
Articles; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorDai, Weien
dc.contributor.authorFowler, Paul J.en
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2015-08-03T09:56:48Zen
dc.date.available2015-08-03T09:56:48Zen
dc.date.issued2012-06-15en
dc.identifier.issn00168025en
dc.identifier.doi10.1111/j.1365-2478.2012.01092.xen
dc.identifier.urihttp://hdl.handle.net/10754/562219en
dc.description.abstractLeast-squares migration has been shown to improve image quality compared to the conventional migration method, but its computational cost is often too high to be practical. In this paper, we develop two numerical schemes to implement least-squares migration with the reverse time migration method and the blended source processing technique to increase computation efficiency. By iterative migration of supergathers, which consist in a sum of many phase-encoded shots, the image quality is enhanced and the crosstalk noise associated with the encoded shots is reduced. Numerical tests on 2D HESS VTI data show that the multisource least-squares reverse time migration (LSRTM) algorithm suppresses migration artefacts, balances the amplitudes, improves image resolution and reduces crosstalk noise associated with the blended shot gathers. For this example, the multisource LSRTM is about three times faster than the conventional RTM method. For the 3D example of the SEG/EAGE salt model, with a comparable computational cost, multisource LSRTM produces images with more accurate amplitudes, better spatial resolution and fewer migration artefacts compared to conventional RTM. The empirical results suggest that multisource LSRTM can produce more accurate reflectivity images than conventional RTM does with a similar or less computational cost. The caveat is that the LSRTM image is sensitive to large errors in the migration velocity model. © 2012 European Association of Geoscientists & Engineers.en
dc.description.sponsorshipWe thank the sponsors of Center for Subsurface Imaging and Fluid Modeling (CSIM) consortium for their financial support, and we thank the HPC and IT research computing group of King Abdullah University of Science and Technology for providing us their clusters and technical support. This work was started at WesternGeco when the first author was an intern there. We are grateful to WesternGeco for providing computation resources for early numerical tests and for permission to publish this paper.en
dc.publisherWileyen
dc.subjectImagingen
dc.subjectInversionen
dc.subjectSeismicen
dc.titleMulti-source least-squares reverse time migrationen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentEarth Sciences and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.identifier.journalGeophysical Prospectingen
dc.contributor.institutionUniversity of Utah, 115 S 1460 E, Salt Lake City, UT 84112, United Statesen
dc.contributor.institutionWesternGeco, 1625 Broadway 1300, Denver, CO 80202, United Statesen
kaust.authorDai, Weien
kaust.authorSchuster, Gerard T.en
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