This case study in the Oriente Basin demonstrates how integrated and weighted seismic post-stack and pre-stack attributes enable identification of upside potential as well as de-risking of well planning and execution in reservoirs with complex stratigraphic architecture within a mature oil field. This approach analyzes the usability of prestack and poststack amplitude interpretation to drastically improve the spatial estimation of rock properties related to oil bearing reservoir sandstones. Multiple seismic attributes interpretation by Artificial Neural Networks (ANN) is a robust approach to map thin sandstone reservoir layers embedded in contrasting lithologies and allows for improved predictability in new well locations. Seismic amplitude interpretation is run in parallel with other processes to reduce subsurface risk, including seismic pre-stack inversion, spectral decomposition, and waveform classification.