Robust Imaging Methodology for Challenging Environments: Wave Equation Dispersion Inversion of Surface Waves

Handle URI:
http://hdl.handle.net/10754/626768
Title:
Robust Imaging Methodology for Challenging Environments: Wave Equation Dispersion Inversion of Surface Waves
Authors:
Li, Jing ( 0000-0002-7960-176X ) ; Schuster, Gerard T. ( 0000-0001-7532-1587 ) ; Zeng, Zhaofa
Abstract:
A robust imaging technology is reviewed that provide subsurface information in challenging environments: wave-equation dispersion inversion (WD) of surface waves for the shear velocity model. We demonstrate the benefits and liabilities of the method with synthetic seismograms and field data. The benefits of WD are that 1) there is no layered medium assumption, as there is in conventional inversion of dispersion curves, so that the 2D or 3D S-velocity model can be reliably obtained with seismic surveys over rugged topography, and 2) WD mostly avoids getting stuck in local minima. The synthetic and field data examples demonstrate that WD can accurately reconstruct the S-wave velocity distributions in laterally heterogeneous media if the dispersion curves can be identified and picked. The WD method is easily extended to anisotropic media and the inversion of dispersion curves associated with Love wave. The liability is that is almost as expensive as FWI and only recovers the Vs distribution to a depth no deeper than about 1/2~1/3 wavelength.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program
Citation:
Li J, Schuster G, Zeng Z (2017) Robust Imaging Methodology for Challenging Environments: Wave Equation Dispersion Inversion of Surface Waves. International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9-12 October 2017. Available: http://dx.doi.org/10.1190/iceg2017-087.
Publisher:
Society of Exploration Geophysicists
Journal:
International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9-12 October 2017
Issue Date:
22-Dec-2017
DOI:
10.1190/iceg2017-087
Type:
Conference Paper
Sponsors:
We thank the sponsors of the CSIM consortium for their financial support. We also thank the KAUST supercomputing center for use of their supercomputer.
Additional Links:
https://library.seg.org/doi/10.1190/iceg2017-087
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program; Olduvai Gorge Project; Center for Subsurface Imaging and Fluid Modeling (CSIM)

Full metadata record

DC FieldValue Language
dc.contributor.authorLi, Jingen
dc.contributor.authorSchuster, Gerard T.en
dc.contributor.authorZeng, Zhaofaen
dc.date.accessioned2018-01-15T06:10:41Z-
dc.date.available2018-01-15T06:10:41Z-
dc.date.issued2017-12-22en
dc.identifier.citationLi J, Schuster G, Zeng Z (2017) Robust Imaging Methodology for Challenging Environments: Wave Equation Dispersion Inversion of Surface Waves. International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9-12 October 2017. Available: http://dx.doi.org/10.1190/iceg2017-087.en
dc.identifier.doi10.1190/iceg2017-087en
dc.identifier.urihttp://hdl.handle.net/10754/626768-
dc.description.abstractA robust imaging technology is reviewed that provide subsurface information in challenging environments: wave-equation dispersion inversion (WD) of surface waves for the shear velocity model. We demonstrate the benefits and liabilities of the method with synthetic seismograms and field data. The benefits of WD are that 1) there is no layered medium assumption, as there is in conventional inversion of dispersion curves, so that the 2D or 3D S-velocity model can be reliably obtained with seismic surveys over rugged topography, and 2) WD mostly avoids getting stuck in local minima. The synthetic and field data examples demonstrate that WD can accurately reconstruct the S-wave velocity distributions in laterally heterogeneous media if the dispersion curves can be identified and picked. The WD method is easily extended to anisotropic media and the inversion of dispersion curves associated with Love wave. The liability is that is almost as expensive as FWI and only recovers the Vs distribution to a depth no deeper than about 1/2~1/3 wavelength.en
dc.description.sponsorshipWe thank the sponsors of the CSIM consortium for their financial support. We also thank the KAUST supercomputing center for use of their supercomputer.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttps://library.seg.org/doi/10.1190/iceg2017-087en
dc.rightsArchived with thanks to International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9-12 October 2017en
dc.subjectimagingen
dc.subjectwave equationen
dc.subjectinversionen
dc.titleRobust Imaging Methodology for Challenging Environments: Wave Equation Dispersion Inversion of Surface Wavesen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalInternational Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9-12 October 2017en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionCollage of geo-exploration Sci. & Tech, Jilin University, Changchun, Jilin, Chinaen
kaust.authorLi, Jingen
kaust.authorSchuster, Gerard T.en
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