R. Alebrahem

Real-Time Prediction of Near-Bit Rock Geo-Mechanical Properties from Drilling and Gamma Ray Data: A Comparative Analysis Using Machine Learning and Deep Learning Techniques

A robust and reliable machine learning framework for real-time prediction of young's modulus is presented, reducing dependence on core testing and enabling dynamic decision-making during drilling operations, and can be seamlessly integrated into real-time drilling advisory systems.