Skeletonized wave-equation inversion for Q

Handle URI:
http://hdl.handle.net/10754/624885
Title:
Skeletonized wave-equation inversion for Q
Authors:
Dutta, Gaurav ( 0000-0002-2024-1683 ) ; Schuster, Gerard T. ( 0000-0001-7532-1587 )
Abstract:
A wave-equation gradient optimization method is presented that inverts for the subsurface Q distribution by minimizing a skeletonized misfit function ε. Here, ε is the sum of the squared differences between the observed and the predicted peak/centroid frequency shifts of the early-arrivals. The gradient is computed by migrating the observed traces weighted by the frequency-shift residuals. The background Q model is perturbed until the predicted and the observed traces have the same peak frequencies or the same centroid frequencies. Numerical tests show that an improved accuracy of the inverted Q model by wave-equation Q tomography (WQ) leads to a noticeable improvement in the migration image quality.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program
Citation:
Dutta G (2016) Skeletonized wave-equation inversion for Q. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13839306.1.
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2016
Conference/Event name:
SEG International Exposition and 86th Annual Meeting, SEG 2016
Issue Date:
6-Sep-2016
DOI:
10.1190/segam2016-13839306.1
Type:
Conference Paper
Sponsors:
We thank the sponsors of the CSIM consortium, the KAUST Supercomputing Laboratory and IT Research Computing Group.
Additional Links:
http://library.seg.org/doi/10.1190/segam2016-13839306.1
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorDutta, Gauraven
dc.contributor.authorSchuster, Gerard T.en
dc.date.accessioned2017-06-08T09:42:44Z-
dc.date.available2017-06-08T09:42:44Z-
dc.date.issued2016-09-06en
dc.identifier.citationDutta G (2016) Skeletonized wave-equation inversion for Q. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13839306.1.en
dc.identifier.doi10.1190/segam2016-13839306.1en
dc.identifier.urihttp://hdl.handle.net/10754/624885-
dc.description.abstractA wave-equation gradient optimization method is presented that inverts for the subsurface Q distribution by minimizing a skeletonized misfit function ε. Here, ε is the sum of the squared differences between the observed and the predicted peak/centroid frequency shifts of the early-arrivals. The gradient is computed by migrating the observed traces weighted by the frequency-shift residuals. The background Q model is perturbed until the predicted and the observed traces have the same peak frequencies or the same centroid frequencies. Numerical tests show that an improved accuracy of the inverted Q model by wave-equation Q tomography (WQ) leads to a noticeable improvement in the migration image quality.en
dc.description.sponsorshipWe thank the sponsors of the CSIM consortium, the KAUST Supercomputing Laboratory and IT Research Computing Group.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2016-13839306.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2016en
dc.subjectattenuationen
dc.subjecttime-domainen
dc.subjecttomographyen
dc.subjectQen
dc.subjectwave equationen
dc.titleSkeletonized wave-equation inversion for Qen
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 2016en
dc.conference.date2011-10-16 to 2011-10-21en
dc.conference.nameSEG International Exposition and 86th Annual Meeting, SEG 2016en
dc.conference.locationDallas, TX, USAen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorDutta, Gauraven
kaust.authorSchuster, Gerard T.en
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