A COMPARATIVE ANALYSIS OF THE PREDICTION OF GAS CONDENSATE DEW POINT PRESSURE USING MACHINE LEARNING ALGORITHMS AND TRADITIONAL EMPIRICAL CORRELATIONS
Accurate prediction of dew point pressure (Pd) is critical for managing gas condensate reservoirs, as liquid dropout near the wellbore creates condensate banking that reduces permeability and well productivity. This study proposes a data-driven approach using a Random Forest (RF) machine learning algorithm to predict P...