Acceptable match have been found between the rockphysics laboratory measurements and the petrophysical properties estimated using the seismic data. Well logs were used to guide the seismic in the estimation of both porosity and gamma‐ray response (from seismic attributes), and acoustic impedance (via seismic inversion) using a neural network approach. The elastic parameters Poisson and Vp/Vs ratio are identified as important to discriminate between good and low reservoir rock quality in the Caballos formation. Elastic inversion was applied to the seismic data to calculate these elastic parameters.