Joint Estimation of Reservoir Saturation and Porosity from Seismic Inversion Using Stochastic Rock Physics Simulation and Bayesian Inversion

We used Bayesian inversion and Monte Carlo simulation to jointly estimate porosity and saturation in a deep water channels reservoir interval. Rock physics analysis using fluid substitution provided cut off values for seismic inversion attributes for different amount of water saturation, allowing the directly comparison with estimated saturation from stochastic simulation. The comparison between the two methods showed good agreement in the reservoir interval section for the water saturation estimation, validating the inversion process. Although, further analysis are required in order to validate the estimation results for porosity.