Improved Monte Carlo Inversion of Resistivity Data

Inversion of 1D technique (VES and TDEM) by using Global Search Procedures (GSPs) as proved to be effective in evidencing local minima and equivalence problems, evaluating non-uniqueness in the solution, and estimating the values and uncertainties of the model parameters. The proposed approach is based on a Monte Carlo algorithm optimised through the application of the scale properties of the apparent resistivity curves. A statistical test selects a limited number of final models according to data uncertainties, model parameterisation and a chosen level of confidence.