Joint Inversion of MT and DC Resistivity using Meta-Heuristic Algorithm with Gibb’s Sampler

Summary Employing the hybrid optimization technique with Gibb’s Sampler in association with joint inversion of MT and DC methods over 1D layered earth structures. The hybrid optimization algorithms have ability to balance the exploration and exploitation characteristics required for obtaining global solution. This hybrid technique uses the exploitation characteristic of PSO algorithm and the exploration characteristic of GWO algorithm, and the arrangement are generated from model parameters according to the Gibb’s sampling. The inherent problem of suppression is also studied due to conductive layer above a resistive layer. The results of hybrid algorithm with Gibb’s Sampler converges the solution faster than standard hybrid algorithm and it depicts large number of good fitting solutions lies in narrow region within the search space. Therefore, it is better to analyze histogram and calculate global mean model based on probability distribution function (PDF) with 68.27% confidence interval (CI) for all accepted models instead of selecting global model based on least error. In the present study, two different subsurface structures are optimized with noise free and noisy synthetic data. The efficiency of the algorithm is demonstrated by optimization in the paper.