Magnetotelluric inversion for 2D anisotropic conductivity structures

نویسنده

  • Yuguo Li
چکیده

We report on progress in developing a magnetotelluric inversion method for two-dimensional anisotropic conductivity distribution. A standard two-dimensional model is discretized into a number of rectangular cells, each with a constant conductivity tensor, and the solution of the inverse problem is obtained by minimizing a global objective functional consisting of data misfit, a structural constraint and an anisotropy constraint. All minimizations are carried out by using the Gauss-Newton algorithm, and model perturbations at each iteration step are obtained by a conjugate gradient least squares method. The inversion algorithm is tested on synthetic data generated by two elementary models: a single prism and two prisms with anisotropy.

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تاریخ انتشار 2004