Multiparameter Elastic Full Waveform Inversion With Facies Constraints

Handle URI:
http://hdl.handle.net/10754/625387
Title:
Multiparameter Elastic Full Waveform Inversion With Facies Constraints
Authors:
Zhang, Zhendong ( 0000-0003-4689-1577 ) ; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 ) ; Naeini, Ehsan Zabihi
Abstract:
Full waveform inversion (FWI) aims fully benefit from all the data characteristics to estimate the parameters describing the assumed physics of the subsurface. However, current efforts to utilize full waveform inversion as a tool beyond acoustic imaging applications, for example in reservoir analysis, faces inherent challenges related to the limited resolution and the potential trade-off between the elastic model parameters. Adding rock physics constraints does help to mitigate these issues, but current approaches to add such constraints are based on including them as a priori knowledge mostly valid around the well or as a boundary condition for the whole area. Since certain rock formations inside the Earth admit consistent elastic properties and relative values of elastic and anisotropic parameters (facies), utilizing such localized facies information in FWI can improve the resolution of inverted parameters. We propose a novel confidence map based approach to utilize the facies-based constraints in both isotropic and anisotropic elastic FWI. We invert for such a confidence map using Bayesian theory, in which the confidence map is updated at each iteration of the inversion using both the inverted models and a prior information. The numerical examples show that the proposed method can reduce the trade-offs and also can improve the resolution of the inverted elastic and anisotropic properties.
KAUST Department:
King Abdullah University of Science and Technology (KAUST)
Citation:
Zhang Z, Alkhalifah T, Naeini EZ (2017) Multiparameter Elastic Full Waveform Inversion With Facies Constraints. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17672943.1.
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2017
Issue Date:
17-Aug-2017
DOI:
10.1190/segam2017-17672943.1
Type:
Conference Paper
Sponsors:
We thank Juwon Oh, Bingbing Sun, Vladimir Kazei and Yike Liu (IGG, CAS) for their helpful discussions. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
Additional Links:
http://library.seg.org/doi/10.1190/segam2017-17672943.1
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorZhang, Zhendongen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.contributor.authorNaeini, Ehsan Zabihien
dc.date.accessioned2017-08-23T11:54:06Z-
dc.date.available2017-08-23T11:54:06Z-
dc.date.issued2017-08-17en
dc.identifier.citationZhang Z, Alkhalifah T, Naeini EZ (2017) Multiparameter Elastic Full Waveform Inversion With Facies Constraints. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17672943.1.en
dc.identifier.doi10.1190/segam2017-17672943.1en
dc.identifier.urihttp://hdl.handle.net/10754/625387-
dc.description.abstractFull waveform inversion (FWI) aims fully benefit from all the data characteristics to estimate the parameters describing the assumed physics of the subsurface. However, current efforts to utilize full waveform inversion as a tool beyond acoustic imaging applications, for example in reservoir analysis, faces inherent challenges related to the limited resolution and the potential trade-off between the elastic model parameters. Adding rock physics constraints does help to mitigate these issues, but current approaches to add such constraints are based on including them as a priori knowledge mostly valid around the well or as a boundary condition for the whole area. Since certain rock formations inside the Earth admit consistent elastic properties and relative values of elastic and anisotropic parameters (facies), utilizing such localized facies information in FWI can improve the resolution of inverted parameters. We propose a novel confidence map based approach to utilize the facies-based constraints in both isotropic and anisotropic elastic FWI. We invert for such a confidence map using Bayesian theory, in which the confidence map is updated at each iteration of the inversion using both the inverted models and a prior information. The numerical examples show that the proposed method can reduce the trade-offs and also can improve the resolution of the inverted elastic and anisotropic properties.en
dc.description.sponsorshipWe thank Juwon Oh, Bingbing Sun, Vladimir Kazei and Yike Liu (IGG, CAS) for their helpful discussions. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2017-17672943.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2017en
dc.subjectVTIen
dc.subjectstatisticalen
dc.subjectrock physicsen
dc.subjectfull-waveform inversionen
dc.subjectelasticen
dc.titleMultiparameter Elastic Full Waveform Inversion With Facies Constraintsen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST)en
dc.identifier.journalSEG Technical Program Expanded Abstracts 2017en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionIkon Scienceen
kaust.authorZhang, Zhendongen
kaust.authorAlkhalifah, Tariq Alien
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