Aslam Abdullah Mohammed

A formation-response classifier for borehole deviation using conventional well log data

Accurate and timely identification of borehole deviation is essential in drilling, as unexpected trajectory shifts serve as key indicators of localised geomechanical failure, formation anisotropy, and wellbore integrity degradation. This study presents a systematic machine learning (ML) framework for classifying boreho...