CSEM and MT data sensitivity analysis for 1D anisotropic inversions

Electrical and electromagnetic (EM) methods are used to image the subsurface resistivity distribution which depends on various factors such as lithology, pore fluid, temperature, and chemical variations. In inverse modeling, unknown parameters are estimated from measured data. We use a probabilistic approach (Tarantola 2005) for 1D inversion which includes model and data uncertainties, together with any available a priori information. The aim of our sensitivity study is to understand how data respond to model parameter perturbation.