1887

Abstract

Summary

We developed an efficient 3D Finite Element (FE) Controlled Source Electromagnetic (CSEM) simulator in the frequency domain with unstructured tetrahedral meshes using a parallel multithreading direct solver. The new simulator is based on edge finite element and solves the diffusive electric field equation. It shows a speed up of more than an order of magnitude relative to a previous serial version and can solve problems with millions of tetrahedral elements. The simulator is also capable of injecting general distributed current sources to be used for adjoin-field based inversion. The code is benchmarked against a semi-analytical technique using layered media and is demonstrated using a realistic reservoir saturation model obtained with a black oil simulator. The results show that simulations of realistic models with ∼ 3 million tetrahedral elements can be handled effectively in a single node using current “off the shelf” computing components (in this case, 4 processors x 4 cores each, and 128 GB of shared RAM memory).

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/content/papers/10.3997/2214-4609.20141190
2014-06-16
2020-07-06
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References

  1. Caorsi, S., Fernandes, P. and Raffetto, M.
    [2001] Spurious-free approximations of electromagnetic eigenproblems by means of Nédélec-type elements. Mathematical Modeling and Numerical Analysis, 35, 331–354.
    [Google Scholar]
  2. Coggon, J.H.
    [1971] Electromagnetic and electrical modeling by the Finite Element method. Geophysics, 36, 132–155.
    [Google Scholar]
  3. Colombo, D. and McNeice, G.W.
    [2013] Quantifying surface-to-reservoir electromagnetics for waterflood monitoring in a Saudi Arabian carbonate reservoir. Geophysics, 78, E281–E297.
    [Google Scholar]
  4. Constable, S.
    [2010] Ten years of marine CSEM for hydrocarbon exploration. Geophysics, 75, A67–A81.
    [Google Scholar]
  5. Ward, S.H. and Hohmann, G.W.
    [1987] Electromagnetic theory for geophysical applications. In: Nabighian, M. (Ed.)Electromagnetic Methods in Applied Geophysics. SEG.
    [Google Scholar]
  6. Jin, J.
    [2002] The Finite Element Method in Electromagnetics. John Wiley & Sons.
    [Google Scholar]
  7. Karypis, G. and Kumar, V.
    [1999] A fast and huge quality multilevel scheme for partitioning irregular graphs. SIAM Journal on Scientific Computing, 1, 359–392.
    [Google Scholar]
  8. Lee, K.H.
    [1986] Program EM1D. Lawrence Berkeley National Laboratory, Berkeley, CA, FORTRAN code, 1175 lines.
    [Google Scholar]
  9. Nédélec, J.C.
    [1980] Mixed Finite Elements in R3. Numerische Mathematik, 35, 315–342.
    [Google Scholar]
  10. Schenk, O. and Gärtner, K.
    [2004] Solving Unsymmetric Sparse Systems of Linear Equations with PARDISO. Journal of Future Generation Computer Systems, 20, 475–487.
    [Google Scholar]
  11. [2006] On fast factorization pivoting methods for sparse symmetric indefinite systems. Electronic Transactions on Numerical Analysis, 23, 158–179.
    [Google Scholar]
  12. Um, E.S., Harris, J.M. and Alambaugh, D.L.
    [2010] 3D time-domain simulation of electromagnetic diffusion phenomena: A finite-element electric-field approach. Geophysics, 75, F115–F126.
    [Google Scholar]
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