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Forward and inverse modelling methods for electromagnetic surface impedance

Low frequency computer modelling of the surface impedance response of subsurface structures is time intensive. Consequently automated three-dimensional inversion remains unrealistic. In this paper, a Genetic Algorithm least squares minimization routine was applied to a one-dimension model and results used to seed two-dimensional surface impedance data. The Impedance (IM) method is shown to be an efficient numerical solution engine in the inversion method.