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dc.contributor.authorAl-Shuhail, Abdullatif A.
dc.contributor.authorMousa, Wail A.
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2017-06-08T09:42:43Z
dc.date.available2017-06-08T09:42:43Z
dc.date.issued2017-06-01
dc.identifier.citationAl-Shuhail AA, Mousa WA, Alkhalifah T (2017) KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set. The Leading Edge 36: 507–511. Available: http://dx.doi.org/10.1190/tle36060507.1.
dc.identifier.issn1070-485X
dc.identifier.issn1938-3789
dc.identifier.doi10.1190/tle36060507.1
dc.identifier.urihttp://hdl.handle.net/10754/624883
dc.description.abstractThe Red Sea is geologically interesting due to its unique structures and abundant mineral and petroleum resources, yet no digital geologic models or synthetic seismic data of the Red Sea are publicly available for testing algorithms to image and analyze the area's interesting features. This study compiles a 2D viscoelastic model of the Red Sea and calculates a corresponding multicomponent synthetic seismic data set. The models and data sets are made publicly available for download. We hope this effort will encourage interested researchers to test their processing algorithms on this data set and model and share their results publicly as well.
dc.description.sponsorshipWe wish to thank King Abdullah University of Science and Technology (KAUST) for supporting this research under grant number EE002356. A.A. and W.M. thank King Fahd University of Petroleum and Minerals (KFUPM) for its continuous support.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttp://library.seg.org/doi/10.1190/tle36060507.1
dc.rightsArchived with thanks to The Leading Edge
dc.subjectfinite difference
dc.subjectimaging
dc.subjectMiddle East
dc.subjectsubsalt
dc.subjectviscoelastic
dc.titleKFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalThe Leading Edge
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionKing Fahd University of Petroleum & Minerals.
kaust.personAlkhalifah, Tariq Ali
kaust.grant.numberEE002356
refterms.dateFOA2018-06-14T03:23:33Z
dc.date.published-online2017-06-01
dc.date.published-print2017-06


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