Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Online adaptive POD-DEIM model reduction for fast simulation of flows in heterogeneous media

    Access Status
    Fulltext not available
    Authors
    Yang, Y.
    Gildin, E.
    Efendiev, Y.
    Calo, Victor
    Date
    2017
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Yang, Y. and Gildin, E. and Efendiev, Y. and Calo, V. 2017. Online adaptive POD-DEIM model reduction for fast simulation of flows in heterogeneous media, in Proceedings of the SPE Reservoir Simulation Conference, Feb 20-22 2017. Montgomery, Texas, USA: Society of Petroleum Engineers (SPE).
    Source Conference
    SPE Reservoir Simulation Conference
    DOI
    10.2118/182682-MS
    ISBN
    978-1-61399-483-2
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/59910
    Collection
    • Curtin Research Publications
    Abstract

    In the paper, we propose an online adaptive POD-DEIM model reduction method for fast multiscale reservoir simulations in highly heterogeneous porous media. The approach uses Proper Orthogonal Decomposition (POD) Galerkin projection to construct a global reduced system. The nonlinear terms are approximated by the Discrete Empirical Interpolation Method (DEIM). To adapt at the online stage the states (velocity, pressure and saturation) of the system, we incorporate new data, as it becomes available. Once the criterion for updates is satisfied, we adapt the reduced system online by updating the POD subspace and the DEIM approximation of the nonlinear functions. These global online basis function updates improve the accuracy of snapshot approximation. Since the adaption is performed infrequently, the new methodology does not add a significant computational overhead due to the adaptation of the reduced bases. Our approach is particularly useful for situations where one needs to solve the reduced system for inputs or controls that result in a solution outside the span of the snapshots generated in the offline stage. Our method is able to construct a robust reduced system even if an initial poor choice of snapshots is used. We demonstrate with a numerical experiment to demonstrate the efficiency of our method.

    Related items

    Showing items related by title, author, creator and subject.

    • An Adaptive Recursive Wavelet Based Algorithm for Real-Time Measurement of Power System Variables during Off-nominal Frequency Conditions
      Ashrafian, A.; Mirsalim, M.; Masoum, Mohammad Sherkat (2017)
      An adaptive wavelet-based method of phasor and frequency estimations and its application for on-line monitoring, control and protective equipment is presented in this paper. The method is recursive with a low computational ...
    • Evaluation of monorail haulage systems in metalliferous underground mining
      Besa, Bunda (2010)
      The decline is a major excavation in metalliferous mining since it provides the main means of access to the underground and serves as a haulage route for underground trucks. However, conventional mining of the decline to ...
    • Multiscale stabilization for convection-dominated diffusion in heterogeneous media
      Calo, Victor; Chung, E.; Efendiev, Y.; Leung, W. (2016)
      We develop a Petrov-Galerkin stabilization method for multiscale convection-diffusion transport systems. Existing stabilization techniques add a limited number of degrees of freedom in the form of bubble functions or a ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.