Mohammadkazem Amiri

Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq

Accurate lithology identification during subsurface exploration is essential for efficient hydrocarbon production, drilling optimization, and reservoir management. This study investigates automated lithology classification using supervised machine learning (ML) to reduce uncertainty and support operational decision-mak...