Imaging near-surface heterogeneities by natural migration of backscattered surface waves

Handle URI:
http://hdl.handle.net/10754/600474
Title:
Imaging near-surface heterogeneities by natural migration of backscattered surface waves
Authors:
AlTheyab, Abdullah ( 0000-0002-1769-7364 ) ; Lin, Fan-Chi; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
We present a migration method that does not require a velocity model to migrate backscattered surface waves to their projected locations on the surface. This migration method, denoted as natural migration, uses recorded Green's functions along the surface instead of simulated Green's functions. The key assumptions are that the scattering bodies are within the depth interrogated by the surface waves, and the Green's functions are recorded with dense receiver sampling along the free surface. This natural migration takes into account all orders of multiples, mode conversions and non-linear effects of surface waves in the data. The natural imaging formulae are derived for both active source and ambient-noise data, and computer simulations show that natural migration can effectively image near-surface heterogeneities with typical ambient-noise sources and geophone distributions.
KAUST Department:
Earth Science and Engineering Program
Citation:
Imaging near-surface heterogeneities by natural migration of backscattered surface waves 2016, 204 (2):1332 Geophysical Journal International
Publisher:
Oxford University Press (OUP)
Journal:
Geophysical Journal International
Issue Date:
1-Feb-2016
DOI:
10.1093/gji/ggv511
Type:
Article
ISSN:
0956-540X; 1365-246X
Sponsors:
This publication is based upon work supported by the KAUST Office of Competitive Research Funds (OCRF) under award no. OCRF-2014-CRG3-62140387/ORS#2300. We thank the sponsors for supporting the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). AlTheyab is grateful to Saudi ARAMCO for sponsoring his graduate studies. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
Additional Links:
http://gji.oxfordjournals.org/lookup/doi/10.1093/gji/ggv511
Appears in Collections:
Articles; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAlTheyab, Abdullahen
dc.contributor.authorLin, Fan-Chien
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2016-03-02T06:34:39Zen
dc.date.available2016-03-02T06:34:39Zen
dc.date.issued2016-02-01en
dc.identifier.citationImaging near-surface heterogeneities by natural migration of backscattered surface waves 2016, 204 (2):1332 Geophysical Journal Internationalen
dc.identifier.issn0956-540Xen
dc.identifier.issn1365-246Xen
dc.identifier.doi10.1093/gji/ggv511en
dc.identifier.urihttp://hdl.handle.net/10754/600474en
dc.description.abstractWe present a migration method that does not require a velocity model to migrate backscattered surface waves to their projected locations on the surface. This migration method, denoted as natural migration, uses recorded Green's functions along the surface instead of simulated Green's functions. The key assumptions are that the scattering bodies are within the depth interrogated by the surface waves, and the Green's functions are recorded with dense receiver sampling along the free surface. This natural migration takes into account all orders of multiples, mode conversions and non-linear effects of surface waves in the data. The natural imaging formulae are derived for both active source and ambient-noise data, and computer simulations show that natural migration can effectively image near-surface heterogeneities with typical ambient-noise sources and geophone distributions.en
dc.description.sponsorshipThis publication is based upon work supported by the KAUST Office of Competitive Research Funds (OCRF) under award no. OCRF-2014-CRG3-62140387/ORS#2300. We thank the sponsors for supporting the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). AlTheyab is grateful to Saudi ARAMCO for sponsoring his graduate studies. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.en
dc.language.isoenen
dc.publisherOxford University Press (OUP)en
dc.relation.urlhttp://gji.oxfordjournals.org/lookup/doi/10.1093/gji/ggv511en
dc.rightsThis article has been accepted for publication in Geophysical Journal International © The Authors 2016. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.en
dc.subjectInterferometryen
dc.subjectSurface waves and free oscillationsen
dc.subjectWave scattering and diffractionen
dc.titleImaging near-surface heterogeneities by natural migration of backscattered surface wavesen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalGeophysical Journal Internationalen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Geology and Geophysics, University of Utah, 271 Frederick Albert Sutton Building, Salt Lake City, UT 84112, USAen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAlTheyab, Abdullahen
kaust.authorSchuster, Gerard T.en
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