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

DOI PDF Web Site Web Site Web Site 参考文献30件
  • Grandis Hendra
    Department of Geophysics and Meteorology, Institut Teknologi Bandung (ITB)
  • Menvielle Michel
    Centre d'Etude des Environnements Terrestre et Planétaires
  • Roussignol Michel
    Equippe d'Analyse et de Mathématique Appliquée, Université de Marne la Vallée

この論文をさがす

抄録

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.

収録刊行物

参考文献 (30)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ