Predicting The Internal Corrosion Rate of Oil and Gas Pipelines with Interpretable Ensemble Machine Learning
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Publisher
Elsevier BV
Reference42 articles.
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3. Reliability analysis based on hybrid algorithm of M5 model tree and Monte Carlo simulation for corroded pipelines: case of study X60 Steel grade pipes;Mohamed El Amine;Eng. Fail. Anal,2019
4. Prediction of maximum pitting corrosion depth in oil and gas pipelines;M El Amine Ben Seghier;Eng. Fail Anal,2020
5. Modelling of pitting corrosion in marine and offshore steel structures-A technical review;J Bhandari;J. Loss Prev. Process. Ind,2015
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