This paper describes a non-linear inversion method employing simulated annealing technique that imitates a thermodynamic process in which a substance is cooled down slowly to achieve an equilibrium state with a minimum energy. The method was applied to invert 1-D magnetotelluric data in which the model parameter is resistivity varied with depth. Model perturbations carried out in search for a minimum data misfit. Inversions of synthetic and field data showed satisfactory results. By considering equivalence problems, synthetic models were resolved relatively well with data misfit around 10%. Inversions of field data showed subsurface resistivity distribution that agrees well with the geological condition of the surveyed area.
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