Jin-Tang Wang

Data-Driven Prediction of Oil-Based Drilling Fluid Rheology: An Integrated Automated Machine Learning and Shapley Additive Explanations Interpretation Framework

Deep oil and gas resources have become a key strategic frontier for future reserve replacement and production growth. However, the complex downhole conditions in deep formations tend to reduce hole-cleaning efficiency and increase the risk of wellbore instability, making precise regulation of drilling fluid rheology...