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Volume 54 Supplement 5

Special Issue: Electromagnetic Induction in the Earth

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Thin-sheet electromagnetic inversion modeling using Monte Carlo Markov Chain (MCMC) algorithm

Earth, Planets and Space volume 54, pages 511–521 (2002)Cite this article

Abstract

The well-known thin-sheet modeling has become a very useful interpretation tool in electromagnetic (EM) methods. The thin-sheet model approximates fairly well 3-D heterogeneities having a limited vertical dimension. This type of approximation leads to amenable computation of EM response of a relatively complex conductivity distribution. This paper describes the integration of thin-sheet forward modeling into an inversion method based on a stochastic Monte Carlo Markov Chain (MCMC) algorithm. Effective exploration of the model space is performed using a biased sampler capable to avoid entrapment to local minima frequently encountered in a such highly nonlinear problem. Results from inversion of synthetic EM data show that the algorithm can reasonably resolve the true structure. Effectiveness and limitations of the proposed inversion method is discussed with reference to the synthetic data inversions.

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Authors and Affiliations

  1. Department of Geophysics and Meteorology, Institut Teknologi Bandung (ITB), Jalan Ganesha 10, Bandung, 40132, Indonesia

    Hendra Grandis

  2. Centre d’Etude des Environnements Terrestre et Planétaires, 3, Avenue de Neptune, F-94107, Saint Maur des Fosses, France

    Michel Menvielle

  3. Equippe d’Analyse et de Mathématique Appliquée, Université de Marne la Vallée, 5, Boulevard Descartes, F-77454, Marne la Vallée, France

    Michel Roussignol

Authors
  1. Hendra Grandis
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  2. Michel Menvielle
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  3. Michel Roussignol
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Correspondence to Hendra Grandis.

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Grandis, H., Menvielle, M. & Roussignol, M. Thin-sheet electromagnetic inversion modeling using Monte Carlo Markov Chain (MCMC) algorithm. Earth Planet Sp 54, 511–521 (2002). https://doi.org/10.1186/BF03353042

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  • DOI: https://doi.org/10.1186/BF03353042

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