Show simple item record

dc.contributor.authorAlkhalifah, Tariq Ali
dc.contributor.authorGuo, Qiang
dc.date.accessioned2020-06-09T13:05:06Z
dc.date.available2020-06-09T13:05:06Z
dc.date.issued2018-10-16
dc.identifier.citationGuo, Q., & Alkhalifah, T. (2018). Datum-Based Waveform Inversion with Robust Velocity Estimation. 80th EAGE Conference and Exhibition 2018. doi:10.3997/2214-4609.201800888
dc.identifier.isbn9789462822542
dc.identifier.doi10.3997/2214-4609.201800888
dc.identifier.urihttp://hdl.handle.net/10754/663476
dc.description.abstractFull waveform inversion (FWI) aims at finding a model that produces data through simulation that fit the observed one. This model is often discretized consistently over the model space and adheres to our physical assumption of the medium, which may require multi parameter description. Though high-resolution analysis and complex physics are often desired and possibly only required in the reservoir region, we end up treating the reservoir as part of the complete model space, thus complicating our ability to emphasize its analysis. Thus, we propose an optimization scheme that splits our model space to the model above some datum level, probably just above the reservoir, and the data at the datum level representing the model below. The algorithm updates both wavepath and scattering components of the velocity model using the upper model extensions and the redatumed data from below the datum level. We describe a procedure that slowly builds the data at datum, meanwhile effectively introduces updates to the overburden model from the shallow (below datum) part to the deep. Our numerical test on the Marmousi model shows that our approach builds a credible velocity, and therefore retrieves virtual data with the expected dynamic features.
dc.publisherEAGE Publications
dc.relation.urlhttp://www.earthdoc.org/publication/publicationdetails/?publication=92269
dc.rightsArchived with thanks to EAGE Publications BV
dc.titleDatum-based waveform inversion with robust velocity estimation
dc.typeConference Paper
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.conference.date2018-06-11 to 2018-06-14
dc.conference.name80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition
dc.conference.locationCopenhagen, DNK
dc.eprint.versionPost-print
kaust.personAlkhalifah, Tariq Ali
kaust.personGuo, Qiang
dc.identifier.eid2-s2.0-85083936523


This item appears in the following Collection(s)

Show simple item record