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    Edge-based electric field formulation in 3D CSEM simulations: A parallel approach

    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. Edge-based electric field formulation in 3D CSEM simulations: A parallel approach, in Proceedings of the nternational Conference and Workshop on Computing and Communication (IEMCON 2015), Oct 15-17 2015, Paper 64. Vancouver, British Columbia, Canada: IEEE.
    Source Title
    2015 International Conference and Workshop on Computing and Communication, IEMCON 2015
    DOI
    10.1109/IEMCON.2015.7344499
    ISBN
    9781479969081
    School
    Department of Applied Geology
    URI
    http://hdl.handle.net/20.500.11937/4994
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a parallel computing scheme for the data computation that arise when applying one of the most popular electromagnetic methods in exploration geophysics, namely, controlled-source electromagnetic (CSEM). The computational approach is based on linear edge finite element method in 3D isotropic domains. The total electromagnetic field is decomposed into primary and secondary electromagnetic field. The primary field is calculated analytically using an horizontal layered-earth model and the secondary field is discretized by linear edge finite element method. We pre-calculated the primary field through of an embarrassingly-parallel framework in order to exploit the parallelism and the advantages of geometric flexibility. The numerical-computational formulation presented here is able to work with three different orientations for the dipole or excitation source. Our code is implemented on unstructured tetrahedral meshes because are able to represent complex geological structures and they allow local refinement in order to improve the solution's accuracy. The code's performance is studied through a test of scalability.

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