On an inverse source problem for enhanced oil recovery by wave motion maximization in reservoirs

Handle URI:
http://hdl.handle.net/10754/599036
Title:
On an inverse source problem for enhanced oil recovery by wave motion maximization in reservoirs
Authors:
Karve, Pranav M.; Kucukcoban, Sezgin; Kallivokas, Loukas F.
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.
Citation:
Karve 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.
Publisher:
Springer Nature
Journal:
Computational Geosciences
Issue Date:
28-Dec-2014
DOI:
10.1007/s10596-014-9462-7
Type:
Article
ISSN:
1420-0597; 1573-1499
Sponsors:
The 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.
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Full metadata record

DC FieldValue Language
dc.contributor.authorKarve, Pranav M.en
dc.contributor.authorKucukcoban, Sezginen
dc.contributor.authorKallivokas, Loukas F.en
dc.date.accessioned2016-02-25T13:51:38Zen
dc.date.available2016-02-25T13:51:38Zen
dc.date.issued2014-12-28en
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.en
dc.identifier.issn1420-0597en
dc.identifier.issn1573-1499en
dc.identifier.doi10.1007/s10596-014-9462-7en
dc.identifier.urihttp://hdl.handle.net/10754/599036en
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.en
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.en
dc.publisherSpringer Natureen
dc.subjectElastic wave energy focusingen
dc.subjectEnhanced oil recoveryen
dc.subjectInverse source problemen
dc.subjectPDE-constrained optimizationen
dc.titleOn an inverse source problem for enhanced oil recovery by wave motion maximization in reservoirsen
dc.typeArticleen
dc.identifier.journalComputational Geosciencesen
dc.contributor.institutionUniversity of Texas at Austin, Austin, United Statesen
dc.contributor.institutionStress Engineering Services, Inc., Houston, United Statesen
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