We exploit the randomness of a genetic inversion algorithm to map the global minimum of the solution space of Controlled-Source Electromagnetic inversion problems. In this study, we focus on the information content that vertical electric or magnetic receivers could add to solve for anisotropic conductivities of the subsurface. By analyzing the distribution of the found solutions by the genetic algorithm, we find that the vertical magnetic component adds complementary information to the horizontal components.


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