A three-dimensional (3D) electromagnetic (EM) inversion algorithm based on the nonlinear conjugate gradient (NLCG) method and a two-color plane Gauss−Seidel (GS) multigrid (MG) forward solver is developed to improve inversion efficiency. The results indicate that the computational efficiency of each inversion can be improved by approximately a factor of three by using the proposed MG solver. First, the accuracy of the MG solver is validated through a test on a synthetic model. Next, the numerical performance of the inversion algorithm is evaluated using this model. Finally, the inversion algorithm is applied to a field EM data collected at the Beiya gold polymetallic ore district. A 3D resistivity model is obtained, and the formation process of the metal ore is analyzed.
Wang et al. (Sun,) studied this question.
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