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dc.contributor.authorKarve, Pranav M.
dc.contributor.authorKucukcoban, Sezgin
dc.contributor.authorKallivokas, Loukas F.
dc.date.accessioned2016-02-25T13:51:38Z
dc.date.available2016-02-25T13:51:38Z
dc.date.issued2014-12-28
dc.identifier.citationKarve PM, Kucukcoban S, Kallivokas LF (2014) On an inverse source problem for enhanced oil recovery by wave motion maximization in reservoirs. Computational Geosciences 19: 233–256. Available: http://dx.doi.org/10.1007/s10596-014-9462-7.
dc.identifier.issn1420-0597
dc.identifier.issn1573-1499
dc.identifier.doi10.1007/s10596-014-9462-7
dc.identifier.urihttp://hdl.handle.net/10754/599036
dc.description.abstract© 2014, Springer International Publishing Switzerland. We discuss an optimization methodology for focusing wave energy to subterranean formations using strong motion actuators placed on the ground surface. The motivation stems from the desire to increase the mobility of otherwise entrapped oil. The goal is to arrive at the spatial and temporal description of surface sources that are capable of maximizing mobility in the target reservoir. The focusing problem is posed as an inverse source problem. The underlying wave propagation problems are abstracted in two spatial dimensions, and the semi-infinite extent of the physical domain is negotiated by a buffer of perfectly-matched-layers (PMLs) placed at the domain’s truncation boundary. We discuss two possible numerical implementations: Their utility for deciding the tempo-spatial characteristics of optimal wave sources is shown via numerical experiments. Overall, the simulations demonstrate the inverse source method’s ability to simultaneously optimize load locations and time signals leading to the maximization of energy delivery to a target formation.
dc.description.sponsorshipThe authors' work was partially supported by an Academic Alliance Excellence grant between the King Abdullah University of Science and Technology in Saudi Arabia (KAUST) and the University of Texas at Austin. The support is gratefully acknowledged.
dc.publisherSpringer Nature
dc.subjectElastic wave energy focusing
dc.subjectEnhanced oil recovery
dc.subjectInverse source problem
dc.subjectPDE-constrained optimization
dc.titleOn an inverse source problem for enhanced oil recovery by wave motion maximization in reservoirs
dc.typeArticle
dc.identifier.journalComputational Geosciences
dc.contributor.institutionUniversity of Texas at Austin, Austin, United States
dc.contributor.institutionStress Engineering Services, Inc., Houston, United States


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