Author

Zheng-Chao Ma

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Conference Sep 2026

NSGA-III Framework for Multiobjective Optimization of Drilling Parameters Based on Cross-Well Generalization: Case Study Using a Stacking Surrogate Model for Rate of Penetration Prediction

Rate of Penetration (ROP) is an important indicator for evaluating drilling efficiency, and its accurate prediction is of great significance for shortening the drilling cycle and reducing development costs. However, existing machine learning methods still face limited generalization capability in cross-well predictio...

Jin-Tao Weng, Jian-Long Wang, Ren Wang et al. · SPE/ICoTA Asia Pacific Well... · 0 citations

Aug 2026

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

This study proposes an intelligent prediction method for oil-based drilling fluid rheology by integrating an automated machine learning (AutoML) framework with Shapley additive explanations (SHAP), and shows that funnel viscosity, drilling fluid density, and solids content were the dominant factors controlling rheologi...

Jin-Tao Weng, Jian-Long Wang, Ren Wang et al. · SPE Journal · 0 citations