Skeletonized wave-equation Qs tomography using surface waves

Handle URI:
http://hdl.handle.net/10754/625391
Title:
Skeletonized wave-equation Qs tomography using surface waves
Authors:
Li, Jing ( 0000-0002-7960-176X ) ; Dutta, Gaurav; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
We present a skeletonized inversion method that inverts surface-wave data for the Qs quality factor. Similar to the inversion of dispersion curves for the S-wave velocity model, the complicated surface-wave arrivals are skeletonized as simpler data, namely the amplitude spectra of the windowed Rayleigh-wave arrivals. The optimal Qs model is then found that minimizes the difference in the peak frequencies of the predicted and observed Rayleigh wave arrivals using a gradient-based wave-equation optimization method. Solutions to the viscoelastic wave-equation are used to compute the predicted Rayleigh-wave arrivals and the misfit gradient at every iteration. This procedure, denoted as wave-equation Qs tomography (WQs), does not require the assumption of a layered model and tends to have fast and robust convergence compared to Q full waveform inversion (Q-FWI). Numerical examples with synthetic and field data demonstrate that the WQs method can accurately invert for a smoothed approximation to the subsur-face Qs distribution as long as the Vs model is known with sufficient accuracy.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program
Citation:
Li J, Dutta G, Schuster GT (2017) Skeletonized wave-equation Qs tomography using surface waves. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17784736.1.
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2017
Issue Date:
17-Aug-2017
DOI:
10.1190/segam2017-17784736.1
Type:
Conference Paper
Additional Links:
http://library.seg.org/doi/10.1190/segam2017-17784736.1
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorLi, Jingen
dc.contributor.authorDutta, Gauraven
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2017-08-23T11:54:06Z-
dc.date.available2017-08-23T11:54:06Z-
dc.date.issued2017-08-17en
dc.identifier.citationLi J, Dutta G, Schuster GT (2017) Skeletonized wave-equation Qs tomography using surface waves. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17784736.1.en
dc.identifier.doi10.1190/segam2017-17784736.1en
dc.identifier.urihttp://hdl.handle.net/10754/625391-
dc.description.abstractWe present a skeletonized inversion method that inverts surface-wave data for the Qs quality factor. Similar to the inversion of dispersion curves for the S-wave velocity model, the complicated surface-wave arrivals are skeletonized as simpler data, namely the amplitude spectra of the windowed Rayleigh-wave arrivals. The optimal Qs model is then found that minimizes the difference in the peak frequencies of the predicted and observed Rayleigh wave arrivals using a gradient-based wave-equation optimization method. Solutions to the viscoelastic wave-equation are used to compute the predicted Rayleigh-wave arrivals and the misfit gradient at every iteration. This procedure, denoted as wave-equation Qs tomography (WQs), does not require the assumption of a layered model and tends to have fast and robust convergence compared to Q full waveform inversion (Q-FWI). Numerical examples with synthetic and field data demonstrate that the WQs method can accurately invert for a smoothed approximation to the subsur-face Qs distribution as long as the Vs model is known with sufficient accuracy.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2017-17784736.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2017en
dc.subjectattenuationen
dc.subjectsurface waveen
dc.subjectwave equationen
dc.titleSkeletonized wave-equation Qs tomography using surface wavesen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalSEG Technical Program Expanded Abstracts 2017en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionCGGen
kaust.authorLi, Jingen
kaust.authorSchuster, Gerard T.en
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