A customer in Eastern Europe needed an accurate assessment of effective oil-saturated thicknesses in a major development project. This case study explains how machine learning-based algorithms were used to analyze complex borehole and seismic studies employing a set of unique classification approaches embedded in Aspen SeisEarth™ and Aspen Geolog Facimage™.