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dc.contributor.authorChoi, Yun Seok
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2018-01-15T12:22:48Z
dc.date.available2018-01-15T12:22:48Z
dc.date.issued2017-05-26
dc.identifier.citationChoi Y, Alkhalifah T (2017) Full Waveform Inversion Using an Energy-Based Objective Function with Efficient Calculation of the Gradient. 79th EAGE Conference and Exhibition 2017. Available: http://dx.doi.org/10.3997/2214-4609.201701343.
dc.identifier.doi10.3997/2214-4609.201701343
dc.identifier.urihttp://hdl.handle.net/10754/626819
dc.description.abstractFull waveform inversion (FWI) using an energy-based objective function has the potential to provide long wavelength model information even without low frequency in the data. However, without the back-propagation method (adjoint-state method), its implementation is impractical for the model size of general seismic survey. We derive the gradient of the energy-based objective function using the back-propagation method to make its FWI feasible. We also raise the energy signal to the power of a small positive number to properly handle the energy signal imbalance as a function of offset. Examples demonstrate that the proposed FWI algorithm provides a convergent long wavelength structure model even without low-frequency information, which can be used as a good starting model for the subsequent conventional FWI.
dc.description.sponsorshipWe are grateful to King Abdullah University of Science and Technology for financial supports. For computer time, this research used the resources of the Super Computing Laboratory at KAUST in Thuwal, Saudi Arabia.
dc.publisherEAGE Publications
dc.relation.urlhttp://www.earthdoc.org/publication/publicationdetails/?publication=89058
dc.rightsArchived with thanks to 79th EAGE Conference and Exhibition 2017
dc.titleFull Waveform Inversion Using an Energy-Based Objective Function with Efficient Calculation of the Gradient
dc.typeConference Paper
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentEarth Science and Engineering Program
dc.identifier.journal79th EAGE Conference and Exhibition 2017
dc.eprint.versionPost-print
kaust.personChoi, Yun Seok
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2018-06-12T00:00:00Z
dc.date.published-online2017-05-26
dc.date.published-print2017-06-12


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