Machine learning-based prediction of cutting concentration for evaluating hole-cleaning efficiency in directional wells
This study explores the cutting transport mechanism in horizontal and directional well drilling by examining fluid rheology, cutting bed characteristics, wellbore features, and equipment interactions under high-pressure high-temperature (HPHT) conditions. The objective is to predict cutting concentration and assess h...