A template for 1-D inversion of geo-electromagnetic data using Markov Chain Monte Carlo (MCMC) method (original) (raw)

This paper describes a 1-D inversion modeling of vertical electrical sounding (VES) data using Schlumberger array. The algorithm employs Markov Chain Monte Carlo (MCMC) previously applied to 1 D inversion of MT data (Grandis et al., 1999). The algorithm was tested to invert synthetic data corresponding to simple three-layer models. The method was also applied to field VES data acquired on a profile. The data were interpolated laterally resulting in denser data coverage and the inverse models were concatenated one to the other to obtain a quasi 2 D model. The model showed satisfactory agreement with 2 D inversion result. The algorithm is quite generic such that it can be used as a template to invert other geo-electromagnetic data (e.g. CSAMT, SNMR etc.) for 1-D modeling.