Nature

Machine learning model optimization for compressional sonic log prediction using well logs in Shahd SE field, Western Desert, Egypt

Compressional sonic logs is one of the important logs for subsurface characterization, reservoir evaluation, and wellbore stability analysis. However, acquiring these logs is often challenging due to ...
Nature

Research on bearing fault diagnosis based on machine learning and SHAP interpretability analysis

Bearing faults are the most common type of failures in rotating machinery, accounting for approximately 30%-40% of total failures and posing serious threats to industrial production safety and ...