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dc.contributor.authorOvcharenko, Oleg
dc.contributor.authorKazei, Vladimir
dc.contributor.authorPeter, Daniel
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2021-02-24T06:09:07Z
dc.date.available2021-02-24T06:09:07Z
dc.date.issued2019-08-10
dc.identifier.citationOvcharenko, O., Kazei, V., Peter, D., & Alkhalifah, T. (2019). Style transfer for generation of realistically textured subsurface models. SEG Technical Program Expanded Abstracts 2019. doi:10.1190/segam2019-3216349.1
dc.identifier.doi10.1190/segam2019-3216349.1
dc.identifier.urihttp://hdl.handle.net/10754/667620
dc.description.abstractTraining datasets consisting of numerous pairs of subsurface models and target variables are essential for building machine learning solutions for geophysical applications. We apply an iterative style transfer approach from image processing to produce realistically textured subsurface models based on synthetic prior models. The key idea of style transfer is that content and texture representations within a convolutional neural network are, to some extent, separable. Thus, a style from one image can be transferred to match the content from another image. We demonstrate examples where realistically random models are stylized to mimic texture patterns from Marmousi II and a section from the BP 2004 benchmark velocity models.
dc.description.sponsorshipWe thank Kevin Zakka for his implementation of the Gatys et al. (2015) algorithm (https://github.com/kevinzakka/style-transfer). The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/segam2019-3216349.1
dc.rightsArchived with thanks to Society of Exploration Geophysicists
dc.titleStyle transfer for generation of realistically textured subsurface models
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentExtreme Computing Research Center
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.conference.date2019-09-15 to 2019-09-20
dc.conference.nameSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
dc.conference.locationSan Antonio, TX, USA
dc.eprint.versionPre-print
dc.identifier.pages2393-2397
kaust.personOvcharenko, Oleg
kaust.personKazei, Vladimir
kaust.personPeter, Daniel
kaust.personAlkhalifah, Tariq Ali
dc.identifier.eid2-s2.0-85079500110


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