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Predicting Filter Cake Thickness in Drilling Fluids Using Machine Learning Techniques
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DOI：10.1016/j.pce.2025.104078.png)
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Abstract
En 中文
• Predicting filter cake thickness in drilling fluids using machine learning models • Use of k-fold cross validation technique • Outlier detection using Hat method • Sensitivity analysis using SHAP method
Keywords:
filter cake thickness
drilling fluids
machine learning models
k-fold cross validation
outlier detection
SHAP method
Journal
P
IF:
4.1
Papers:
437
Citations:
3
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