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    Parallel and numerical issues of the edge finite element method for 3D controlled-source electromagnetic surveys

    Access Status
    Fulltext not available
    Authors
    Reyes, O.
    De La Puente, J.
    Puzyrev, Volodymyr
    Cela, J.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Reyes, O. and De La Puente, J. and Puzyrev, V. and Cela, J. 2015. Parallel and numerical issues of the edge finite element method for 3D controlled-source electromagnetic surveys, in Proceedings of the International Conference on Computing Systems and Telematics (ICCSAT), Oct 28-30 2015, pp. 16-21. Xalapa, Mexico: IEEE.
    Source Title
    2015 International Conference on Computing Systems and Telematics, ICCSAT 2015
    DOI
    10.1109/ICCSAT.2015.7362921
    ISBN
    9781479976393
    School
    Department of Applied Geology
    URI
    http://hdl.handle.net/20.500.11937/26861
    Collection
    • Curtin Research Publications
    Abstract

    This paper deals with the most relevant parallel and numerical issues that arise when applying the Edge Element Method in the solution of electromagnetic problems in exploration geophysics. In this sense, in recent years the application of land and marine controlled-source electromagnetic (CSEM) surveys has gained tremendous interest among the offshore exploration community. This method is especially significant in detecting hydrocarbon in shallow/deep waters. On the other hand, in Finite Element Methods for solving electromagnetic field problems, the use of Edge Elements has become very popular. In fact, Edge Elements are often said to be a cure to many difficulties that are encountered (particularly eliminating spurious solutions) and are claimed to yield accurate results. CSEM, linear vectorial edge basis functions and its implementation on unstructured tetrahedral meshes are discussed. The use of it's kind of discretisation enables the representation of complex geological structures and allows local refinement in order to improve the solution's accuracy. A parallel shared memory approach is proposed to meet the high computational cost of EM modeling. Performance results and an convergence study are presented in order to validate our numerical method.

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