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Quick imaging of MT data using an approximate inversion algorithm

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Abstract

An approximate inversion method is proposed for the imaging of MT data measured above 2-D geological structures. In discretizing the model parameters a series expansion formula is used with interval-wise constant functions or Chebishev polinomials as basis functions. The expansion coefficients serve as the unknown parameters of the inverse problem. All the data sets collected at various sites along the measurement line are integrated in a single inversion procedure in which the solution of the forward problem is approximated by the well-known 1-D magnetotelluric formulae with the use of the local values (at the measurement site) of the laterally changing model parameters. The imaging method is tested by means of synthetic data set calculated on a 2-D geological model in both TM and TE mode. Our numerical tests show that the proposed imaging procedure gives quick and highly acceptable parameter estimation.

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Acknowledgements

The described work was carried out as part of the TÁMOP-4.2.1.B-10/2/KONV-2010-0001 project in the framework of The New Hungary Development Plan. The realization of this project is supported by the European Union, co-financed by the European Social Fund. One of the authors is a member of the MTA–ME Research Group for Engineering Geosciences who expresses his gratitude for the support.

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Authors and Affiliations

  1. Department of Geophysics, University of Miskolc, 3515, Miskolc-Egyetemváros, Hungary

    M. Dobróka, E. Turai & R. Kavanda

  2. MTA-ME Research Group for Engineering Geosciences, 3515, Miskolc-Egyetemváros, Hungary

    M. Dobróka

  3. MTA CSFK Geodéziai és Geofizikai Intézet, Csatkai Endre u. 6-8, 9400, Sopron, Hungary

    E. Prácser

Authors
  1. M. Dobróka
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  2. E. Prácser
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  3. E. Turai
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  4. R. Kavanda
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Correspondence to M. Dobróka.

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Dobróka, M., Prácser, E., Turai, E. et al. Quick imaging of MT data using an approximate inversion algorithm. Acta Geod Geophys 48, 17–25 (2013). https://doi.org/10.1007/s40328-012-0011-3

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  • DOI: https://doi.org/10.1007/s40328-012-0011-3

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