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

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    Type
    Article
    Authors
    Karve, Pranav M.
    Kucukcoban, Sezgin
    Kallivokas, Loukas F.
    Date
    2014-12-28
    Online Publication Date
    2014-12-28
    Print Publication Date
    2015-02
    Permanent link to this record
    http://hdl.handle.net/10754/599036
    
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    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.
    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.
    Publisher
    Springer Nature
    Journal
    Computational Geosciences
    DOI
    10.1007/s10596-014-9462-7
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10596-014-9462-7
    Scopus Count
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