Three-Dimensional CSEM Modelling on Unstructured Tetrahedral Meshes Using Edge Finite Elements

  • Octavio Castillo-Reyes
  • Josep de la Puente
  • José María Cela
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 697)

Abstract

The last decade has been a period of rapid growth for electromagnetic methods (EM) in geophysics, mostly because of their industrial adoption. In particular, the marine controlled-source electromagnetic method (CSEM) has become an important technique for reducing ambiguities in data interpretation in hydrocarbon exploration. In order to be able to predict the EM signature of a given geological structure, modelling tools provide us with synthetic results which we can then compare to real data. On the other hand and among the modelling methods for EM based upon 3D unstructured meshes, the Nédélec Edge Finite Element Method (EFEM) offers a good trade-off between accuracy and number of degrees of freedom, i.e. size of the problem. Furthermore, its divergence-free basis is very well suited for solving Maxwell’s equation. On top of that, we present the numerical formulation and results of 3D CSEM modelling using the Parallel Edge-based Tool for Geophysical Electromagnetic Modelling (PETGEM) on unstructured tetrahedral meshes. We validated our experiments against quasi-analytical results in canonical models.

Keywords

CSEM Geophysics Edge Finite Element High performance computing 

References

  1. 1.
    Alumbaugh, D., Newman, G., Prevost, L., Shadid, J.: Three-dimensional wideband electromagnetic modeling on massively parallel computers. Wiley Online Libr. 1, 1–23 (1996)Google Scholar
  2. 2.
    Boulaenko, M., Hesthammer, J., Vereshagin, A., Gelting, P., Davies, R., Wedberg, T.: Marine CSEM Technology – The Luva Case. Houston Geological Society (2007)Google Scholar
  3. 3.
    Cai, H., Xiong, B., Han, M., Zhdanov, M.: 3D controlled-source electromagnetic modeling in anisotropic medium using edge-based finite element method. Comput. Geosci. 73, 164–176 (2014)CrossRefGoogle Scholar
  4. 4.
    Castillo-Reyes, O., de la Puente, J., Puzyrev, V., Cela, J.M.: Edge-based electric field formulation in 3D CSEM simulations: a parallel approach. In: Proceedings of the 6th International Conference and Workshop on Computing and Communication. IEEE (2015)Google Scholar
  5. 5.
    Castillo-Reyes, O., de la Puente, J., Modesto, D., Puzyrev, V., Cela, J.M.: Parallel tool for numerical approximation of 3D electromagnetic surveys in geophysics. Computacin y Sistemas, Thematic Issue: Topic Trends Comput. Res. Catalonia 20(1), 29–39 (2016)Google Scholar
  6. 6.
    Constable, S., Weiss, C.: Mapping thin resistors and hydrocarbons with marine EM methods: insights from 1D modeling. Geophysics 71(2), G43–G51 (2006)CrossRefGoogle Scholar
  7. 7.
    Constable, S., Srnka, L.J.: An introduction to marine controlled-source electromagnetic methods for hydrocarbon exploration. Geophysics 72(2), WA3–WA12 (2007)CrossRefGoogle Scholar
  8. 8.
    Constable, S.: Ten years of marine CSEM for hydrocarbon exploration. Geophysics 75(5), 75A67–75A81 (2010)CrossRefGoogle Scholar
  9. 9.
    Eidesmo, T., Ellingsrud, S., MacGregor, L.M., Constable, S., Sinha, M.C., Johansen, S.E., Kong, F.N., Westerdahl, H.: Sea bed logging (SBL), a new method for remote and direct identification of hydrocarbon filled layers in deepwater areas. First Break: Soc. Exploration Geophysicists 20(3), 144–152 (2002)Google Scholar
  10. 10.
    Hanif, N., Hussain, N., Yahya, N., Daud, H., Yahya, N., Noh, M.: 1D modeling of controlled-source electromagnetic (CSEM) data using finite element method for hydrocarbon detection in shallow water. In: Proceedings of the International MultiConference of Engineers and Computer Scientists (2011)Google Scholar
  11. 11.
    Jianming, J.: The Finite Element Method in Electromagnetics. Wiley, Hoboken (2002)MATHGoogle Scholar
  12. 12.
    Key, K.: 1D inversion of multicomponent, multifrequency marine CSEM data: methodology and synthetic studies for resolving thin resistive layers. Geophysics 74, F9–F20 (2009)CrossRefGoogle Scholar
  13. 13.
    Key, K.: Marine electromagnetic studies of seafloor resources and tectonics. Surveys Geophys. 33(1), 135–167 (2012)CrossRefGoogle Scholar
  14. 14.
    Koldan, J.: Numerical solution of 3-D electromagnetic problems in exploration geophysics and its implementation on massively parallel computers. Polytechnic University of Catalonia (2013)Google Scholar
  15. 15.
    Newman, G., Alumbaugh, D.: Three-dimensional induction logging problems, Part 2: a finite-difference solution. Geophysics 67(2), 484–491 (2002)CrossRefGoogle Scholar
  16. 16.
    Orange, A., Key, K., Constable, S.: The feasibility of reservoir monitoring using time-lapse marine CSEM. Geophysics 74(2), F21–F29 (2009)CrossRefGoogle Scholar
  17. 17.
    Puzyrev, V., Koldan, J., de la Puente, J., Houzeaux, G., Vázquez, M., Cela, J.M.: A parallel finite-element method for three-dimensional controlled-source electromagnetic forward modelling. Geophys. J. Int. (2013). ggt027Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Octavio Castillo-Reyes
    • 1
  • Josep de la Puente
    • 1
  • José María Cela
    • 1
  1. 1.Computer Applications in Science and EngineeringBarcelona Supercomputing CenterBarcelonaSpain

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