Skip to main navigation Skip to search Skip to main content

Reduced order borehole induction modelling

  • N. Ardjmandpour
  • , C. C. Pain
  • , F. Fang
  • , A. G. Buchan
  • , J. Singer
  • , M. A. Player
  • , Xu Xu
  • , I. M. Navon
  • , Jonathan Carter
    • GE Energy Oilfield Technology, Hampshire
    • Imperial College London
    • Florida State University

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This article presents a newreduced order model based on proper orthogonal decomposition (POD) for solving the electromagnetic
    equation for borehole modelling applications. The method aims to accurately and efficiently predict the electromagnetic
    fields generated by an array induction tool – an instrument that transmits and receives electrical signals along different
    positions within a borehole. The motivation for this approach is in the generation of an efficient ‘forward model’ (which
    provides solutions to the electromagnetic equation) for the purpose of improving the efficiency of inversion calculations
    (which typically require a large number of forward solutions) that are used to determine surrounding material properties.
    This article develops a reduced order model for this purpose as it can be significantly more efficient to compute than standard
    models, for example, those based on finite elements. It is shown here how the POD basis functions are generated from the
    snapshot solutions of a high resolution model, and how the discretised equations can be generated efficiently. The novelty
    is that this is the first time such a POD model reduction approach has been developed for this application, it is also unique
    in its use of separate POD basis functions for the real and complex solution fields. A numerical example for predicting the
    electromagnetic field is used to demonstrate the accuracy of the POD method for use as a forward model. It is shown that
    the method retains accuracy whilst reducing the costs of the computation by several orders of magnitude in comparison to
    an established method.
    Original languageEnglish
    Pages (from-to)140-157
    Number of pages18
    JournalInternational Journal of Computational Fluid Dynamics
    Volume28
    Issue number3-4
    Early online date10 Jun 2014
    DOIs
    Publication statusPublished - 2014

    Keywords

    • POD; reduced order model; array induction tool; Maxwell equations

    Fingerprint

    Dive into the research topics of 'Reduced order borehole induction modelling'. Together they form a unique fingerprint.

    Cite this