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EN
The inversion of geophysical data depends on the availability of a priori information on the geology of the earth inversion method chosen, and the appropriate definition of parameters of the model. Traditionally, 1D magnetotelluric data have been inverted by the trial-and-error method, which employs iterated, linearized inversion methods. However, this approach involves a good knowledge of parameters of the analyzed earth. Unlike the linearized inversion, the nonlinear inversion does not depend so much on a starting model; however, a proper choice of the starting model can reduce the time and cost of computation. In this paper the authors applied a nonlinear optimization method, called very fast simulated annealing (VFSA), to one-dimensional inversion of magnetotelluric sounding data. The authors made some simplified assumption concerning the selection of cooling constants and reducing the equivalence of geoelectric models. The inversion was performed in three ways: the individual inversion of amplitude data, individual inversion of phase data, and joint inversion of amplitude and phase data.
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