Full Waveform Inversion Using Nonlinearly Smoothed Wavefields

Handle URI:
http://hdl.handle.net/10754/624987
Title:
Full Waveform Inversion Using Nonlinearly Smoothed Wavefields
Authors:
Li, Y.; Choi, Yun Seok; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 ) ; Li, Z.
Abstract:
The lack of low frequency information in the acquired data makes full waveform inversion (FWI) conditionally converge to the accurate solution. An initial velocity model that results in data with events within a half cycle of their location in the observed data was required to converge. The multiplication of wavefields with slightly different frequencies generates artificial low frequency components. This can be effectively utilized by multiplying the wavefield with itself, which is nonlinear operation, followed by a smoothing operator to extract the artificially produced low frequency information. We construct the objective function using the nonlinearly smoothed wavefields with a global-correlation norm to properly handle the energy imbalance in the nonlinearly smoothed wavefield. Similar to the multi-scale strategy, we progressively reduce the smoothing width applied to the multiplied wavefield to welcome higher resolution. We calculate the gradient of the objective function using the adjoint-state technique, which is similar to the conventional FWI except for the adjoint source. Examples on the Marmousi 2 model demonstrate the feasibility of the proposed FWI method to mitigate the cycle-skipping problem in the case of a lack of low frequency information.
KAUST Department:
King Abdullah University of Science & Technology
Citation:
Li Y, Choi Y, Alkhalifah T, Li Z (2017) Full Waveform Inversion Using Nonlinearly Smoothed Wavefields. 79th EAGE Conference and Exhibition 2017. Available: http://dx.doi.org/10.3997/2214-4609.201701342.
Publisher:
EAGE Publications BV
Journal:
79th EAGE Conference and Exhibition 2017
Issue Date:
26-May-2017
DOI:
10.3997/2214-4609.201701342
Type:
Conference Paper
Sponsors:
We thank KAUST for its support and the SWAG for collaborative environment. Author Yuanyuan Li wishes to thank the China Scholarship Council for support to study abroad.
Additional Links:
http://www.earthdoc.org/publication/publicationdetails/?publication=89057
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorLi, Y.en
dc.contributor.authorChoi, Yun Seoken
dc.contributor.authorAlkhalifah, Tariq Alien
dc.contributor.authorLi, Z.en
dc.date.accessioned2017-06-14T06:39:40Z-
dc.date.available2017-06-14T06:39:40Z-
dc.date.issued2017-05-26en
dc.identifier.citationLi Y, Choi Y, Alkhalifah T, Li Z (2017) Full Waveform Inversion Using Nonlinearly Smoothed Wavefields. 79th EAGE Conference and Exhibition 2017. Available: http://dx.doi.org/10.3997/2214-4609.201701342.en
dc.identifier.doi10.3997/2214-4609.201701342en
dc.identifier.urihttp://hdl.handle.net/10754/624987-
dc.description.abstractThe lack of low frequency information in the acquired data makes full waveform inversion (FWI) conditionally converge to the accurate solution. An initial velocity model that results in data with events within a half cycle of their location in the observed data was required to converge. The multiplication of wavefields with slightly different frequencies generates artificial low frequency components. This can be effectively utilized by multiplying the wavefield with itself, which is nonlinear operation, followed by a smoothing operator to extract the artificially produced low frequency information. We construct the objective function using the nonlinearly smoothed wavefields with a global-correlation norm to properly handle the energy imbalance in the nonlinearly smoothed wavefield. Similar to the multi-scale strategy, we progressively reduce the smoothing width applied to the multiplied wavefield to welcome higher resolution. We calculate the gradient of the objective function using the adjoint-state technique, which is similar to the conventional FWI except for the adjoint source. Examples on the Marmousi 2 model demonstrate the feasibility of the proposed FWI method to mitigate the cycle-skipping problem in the case of a lack of low frequency information.en
dc.description.sponsorshipWe thank KAUST for its support and the SWAG for collaborative environment. Author Yuanyuan Li wishes to thank the China Scholarship Council for support to study abroad.en
dc.publisherEAGE Publications BVen
dc.relation.urlhttp://www.earthdoc.org/publication/publicationdetails/?publication=89057en
dc.rightsArchived with thanks to 79th EAGE Conference and Exhibition 2017en
dc.titleFull Waveform Inversion Using Nonlinearly Smoothed Wavefieldsen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science & Technologyen
dc.identifier.journal79th EAGE Conference and Exhibition 2017en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionChina University of Petroleum (East China)en
kaust.authorChoi, Yun Seoken
kaust.authorAlkhalifah, Tariq Alien
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