Application and evaluation of explainable XGBoost models optimized by Bayesian methods for CO2-driven oil recovery tubular corrosion prediction

Materials Chemistry and Physics 2026

View at publisher

Authors: Min Zhao, Zhiying Zang, Hao Wu, Lihui Yang, Xingjian Guo

DOI: 10.1016/j.matchemphys.2026.132884

Cited by: 1

References: 36

Fields of Study & Subjects

Corrosion Behavior and Inhibition Structural Integrity and Reliability Analysis Drilling and Well Engineering

References 36