Waveform inversion with exponential damping using a deconvolution-based objective function

Handle URI:
http://hdl.handle.net/10754/625275
Title:
Waveform inversion with exponential damping using a deconvolution-based objective function
Authors:
Choi, Yun Seok; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 )
Abstract:
The lack of low frequency components in seismic data usually leads full waveform inversion into the local minima of its objective function. An exponential damping of the data, on the other hand, generates artificial low frequencies, which can be used to admit long wavelength updates for waveform inversion. Another feature of exponential damping is that the energy of each trace also exponentially decreases with source-receiver offset, where the leastsquare misfit function does not work well. Thus, we propose a deconvolution-based objective function for waveform inversion with an exponential damping. Since the deconvolution filter includes a division process, it can properly address the unbalanced energy levels of the individual traces of the damped wavefield. Numerical examples demonstrate that our proposed FWI based on the deconvolution filter can generate a convergent long wavelength structure from the artificial low frequency components coming from an exponential damping.
KAUST Department:
King Abdullah University of Science and Technology, , Saudi Arabia
Citation:
Choi Y, Alkhalifah T (2016) Waveform inversion with exponential damping using a deconvolution-based objective function. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13818075.1.
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/segam2016-13818075.1
Type:
Conference Paper
Sponsors:
We are grateful to King Abdullah University of Science and Technology for financial support.
Additional Links:
http://library.seg.org/doi/10.1190/segam2016-13818075.1
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorChoi, Yun Seoken
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2017-07-27T11:21:47Z-
dc.date.available2017-07-27T11:21:47Z-
dc.date.issued2016-09-06en
dc.identifier.citationChoi Y, Alkhalifah T (2016) Waveform inversion with exponential damping using a deconvolution-based objective function. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13818075.1.en
dc.identifier.doi10.1190/segam2016-13818075.1en
dc.identifier.urihttp://hdl.handle.net/10754/625275-
dc.description.abstractThe lack of low frequency components in seismic data usually leads full waveform inversion into the local minima of its objective function. An exponential damping of the data, on the other hand, generates artificial low frequencies, which can be used to admit long wavelength updates for waveform inversion. Another feature of exponential damping is that the energy of each trace also exponentially decreases with source-receiver offset, where the leastsquare misfit function does not work well. Thus, we propose a deconvolution-based objective function for waveform inversion with an exponential damping. Since the deconvolution filter includes a division process, it can properly address the unbalanced energy levels of the individual traces of the damped wavefield. Numerical examples demonstrate that our proposed FWI based on the deconvolution filter can generate a convergent long wavelength structure from the artificial low frequency components coming from an exponential damping.en
dc.description.sponsorshipWe are grateful to King Abdullah University of Science and Technology for financial support.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2016-13818075.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2016en
dc.titleWaveform inversion with exponential damping using a deconvolution-based objective functionen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technology, , Saudi Arabiaen
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.authorChoi, Yun Seoken
kaust.authorAlkhalifah, Tariq Alien
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