Efficient full waveform inversion using the excitation representation of the source wavefield

Handle URI:
http://hdl.handle.net/10754/625814
Title:
Efficient full waveform inversion using the excitation representation of the source wavefield
Authors:
Kalita, Mahesh; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 )
Abstract:
Full waveform inversion (FWI) is an iterative method of data-fitting, aiming at high-resolution recovery of the unknown model parameters. However, its conventional implementation is a cumbersome process, requiring a long computational time and large memory space/disk storage. One of the reasons for this computational limitation is the gradient calculation step. Based on the adjoint state method, it involves the temporal cross-correlation of the forward propagated sourcewavefield with the backward propagated residuals, inwhichwe usually need to store the source wavefield, or include an extra extrapolation step to propagate the source wavefield from its storage at the boundary. We propose, alternatively, an amplitude excitation gradient calculation based on the excitation imaging condition concept that represents the source wavefield history by a single, specifically the most energetic arrival. An excitation based Born modelling allows us to derive the adjoint operation. In this case, the source wavelet is injected by a cross-correlation step applied to the data residual directly. Representing the source wavefield through the excitation amplitude and time, we reduce the large requirements for both storage and the computational time. We demonstrate the application of this approach on a two-layer model with an anomaly, the Marmousi II model and a marine data set acquired by CGG.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Kalita M, Alkhalifah T (2017) Efficient full waveform inversion using the excitation representation of the source wavefield. Geophysical Journal International 210: 1581–1594. Available: http://dx.doi.org/10.1093/gji/ggx214.
Publisher:
Oxford University Press (OUP)
Journal:
Geophysical Journal International
Issue Date:
16-May-2017
DOI:
10.1093/gji/ggx214
Type:
Article
ISSN:
0956-540X; 1365-246X
Sponsors:
For computer time, this research used the resources of the Super-computing Laboratory and IT Research Computing at King Abdullah-University of Science&Technology (KAUST) in Thuwal, Saudi Arabia. The real data shown in this study are proprietary to and provided courtesy of CGG. The well-log information is provided by Geoscience Australia. We are grateful to KAUST for financial support and all the members of seismic wave analysis group (SWAG), especially Christos Tzivanakis, Zedong Wu, Juwon Oh, Yunseok Choi and Vladimir Kazei for their fruitful discussions. In addition, we are especially thankful to Zedong Wu for his assistance in the real data example.
Additional Links:
https://academic.oup.com/gji/article-lookup/doi/10.1093/gji/ggx214
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKalita, Maheshen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2017-10-05T12:47:09Z-
dc.date.available2017-10-05T12:47:09Z-
dc.date.issued2017-05-16en
dc.identifier.citationKalita M, Alkhalifah T (2017) Efficient full waveform inversion using the excitation representation of the source wavefield. Geophysical Journal International 210: 1581–1594. Available: http://dx.doi.org/10.1093/gji/ggx214.en
dc.identifier.issn0956-540Xen
dc.identifier.issn1365-246Xen
dc.identifier.doi10.1093/gji/ggx214en
dc.identifier.urihttp://hdl.handle.net/10754/625814-
dc.description.abstractFull waveform inversion (FWI) is an iterative method of data-fitting, aiming at high-resolution recovery of the unknown model parameters. However, its conventional implementation is a cumbersome process, requiring a long computational time and large memory space/disk storage. One of the reasons for this computational limitation is the gradient calculation step. Based on the adjoint state method, it involves the temporal cross-correlation of the forward propagated sourcewavefield with the backward propagated residuals, inwhichwe usually need to store the source wavefield, or include an extra extrapolation step to propagate the source wavefield from its storage at the boundary. We propose, alternatively, an amplitude excitation gradient calculation based on the excitation imaging condition concept that represents the source wavefield history by a single, specifically the most energetic arrival. An excitation based Born modelling allows us to derive the adjoint operation. In this case, the source wavelet is injected by a cross-correlation step applied to the data residual directly. Representing the source wavefield through the excitation amplitude and time, we reduce the large requirements for both storage and the computational time. We demonstrate the application of this approach on a two-layer model with an anomaly, the Marmousi II model and a marine data set acquired by CGG.en
dc.description.sponsorshipFor computer time, this research used the resources of the Super-computing Laboratory and IT Research Computing at King Abdullah-University of Science&Technology (KAUST) in Thuwal, Saudi Arabia. The real data shown in this study are proprietary to and provided courtesy of CGG. The well-log information is provided by Geoscience Australia. We are grateful to KAUST for financial support and all the members of seismic wave analysis group (SWAG), especially Christos Tzivanakis, Zedong Wu, Juwon Oh, Yunseok Choi and Vladimir Kazei for their fruitful discussions. In addition, we are especially thankful to Zedong Wu for his assistance in the real data example.en
dc.publisherOxford University Press (OUP)en
dc.relation.urlhttps://academic.oup.com/gji/article-lookup/doi/10.1093/gji/ggx214en
dc.rightsThis article has been accepted for publication in Geophysical Journal International ©:The Authors 2017. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.en
dc.subjectInverse theoryen
dc.subjectTomographyen
dc.subjectSeismic tomographyen
dc.titleEfficient full waveform inversion using the excitation representation of the source wavefielden
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalGeophysical Journal Internationalen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorKalita, Maheshen
kaust.authorAlkhalifah, Tariq Alien
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