Joint Inversion of Seismic and EM Attributes to Estimate the Petrophysical Model - Case Study

Abstract

We present the petrophysical joint inversion (PJI) of seismic and EM attributes to estimate the petrophysical model in terms of porosity and water saturation. This study realizes the joint inversion within the probabilistic structure provided by the Bayesian theory. The algorithm is applied to a real hydrocarbon exploration scenario to evaluate its contribution to the reservoir characterization. 3D volumes of estimated porosity and saturation show how the joint inversion of acoustic impedance and electrical resistivity can provide a quantitative description of the reservoir properties together with a measure of uncertainty.