Spectral implementation of full waveform inversion based on reflections

Handle URI:
http://hdl.handle.net/10754/564851
Title:
Spectral implementation of full waveform inversion based on reflections
Authors:
Wu, Zedong; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 )
Abstract:
Using the reflection imaging process as a source to model reflections for full waveform inversion (FWI), referred to as reflection FWI (RFWI), allows us to update the background component of the model, and avoid using the relatively costly migration velocity analysis (MVA), which usually relies on extended images. However, RFWI requires a good image to represent the current reflectivity, as well as, some effort to obtain good smooth gradients. We develop a spectral implementation of RFWI where the wavefield extrapolations and gradient evaluation are performed in the wavenumber domain, obtaining clean dispersion free and fast extrapolations. The gradient, in this case, yields three terms, two of which provide us with each side of the rabbit ear kernel, and the third, often ignored, provides a normalization of the reflectivity within the kernel, which can be used to obtain a reflectivity free background update. Since the image is imperfect (it is an adjoint, not an inverse), an optimization process for the third term scaling is implemented to achieve the smoothest gradient update. A rare application of RFWI on the reflectivity infested Marmousi model shows some of the potential of the approach.
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program
Publisher:
EAGE Publications
Journal:
Proceedings 76th EAGE Conference and Exhibition 2014
Conference/Event name:
76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014
Issue Date:
2014
DOI:
10.3997/2214-4609.20140853
Type:
Conference Paper
ISBN:
9781632666949
Appears in Collections:
Conference Papers; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorWu, Zedongen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2015-08-04T07:23:05Zen
dc.date.available2015-08-04T07:23:05Zen
dc.date.issued2014en
dc.identifier.isbn9781632666949en
dc.identifier.doi10.3997/2214-4609.20140853en
dc.identifier.urihttp://hdl.handle.net/10754/564851en
dc.description.abstractUsing the reflection imaging process as a source to model reflections for full waveform inversion (FWI), referred to as reflection FWI (RFWI), allows us to update the background component of the model, and avoid using the relatively costly migration velocity analysis (MVA), which usually relies on extended images. However, RFWI requires a good image to represent the current reflectivity, as well as, some effort to obtain good smooth gradients. We develop a spectral implementation of RFWI where the wavefield extrapolations and gradient evaluation are performed in the wavenumber domain, obtaining clean dispersion free and fast extrapolations. The gradient, in this case, yields three terms, two of which provide us with each side of the rabbit ear kernel, and the third, often ignored, provides a normalization of the reflectivity within the kernel, which can be used to obtain a reflectivity free background update. Since the image is imperfect (it is an adjoint, not an inverse), an optimization process for the third term scaling is implemented to achieve the smoothest gradient update. A rare application of RFWI on the reflectivity infested Marmousi model shows some of the potential of the approach.en
dc.publisherEAGE Publicationsen
dc.titleSpectral implementation of full waveform inversion based on reflectionsen
dc.typeConference Paperen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.identifier.journalProceedings 76th EAGE Conference and Exhibition 2014en
dc.conference.date16 June 2014 through 19 June 2014en
dc.conference.name76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014en
dc.conference.locationAmsterdamen
kaust.authorAlkhalifah, Tariq Alien
kaust.authorWu, Zedongen
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