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Prediction of the internal corrosion rate for oil and gas pipelines and influence factor analysis with interpretable ensemble learning
Jinlong Hu
Xi’an University Shaanxi Key Laboratory of Surface Engineering and Remanufacturing
来源International Journal of Pressure Vessels and Piping
年份2024
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学术脉络
学科主题
工程Structural Integrity and Reliability Analysis
Material Properties and Failure Mechanisms · Corrosion Behavior and Inhibition
参考文献 40
Natural Gas Pipeline Corrosion Rate Prediction Model Based on BP Neural Network
被引 41Chiyuan Ren, Wei Qiao, Xin Dong Tian · Advances in intelligent and soft computing · 2012
Modelling of pitting corrosion in marine and offshore steel structures – A technical review
被引 518Jyoti Bhandari, Faisal Irshad Khan, Rouzbeh Abbassi · Journal of Loss Prevention in the Process Industries · 2015
Machine learning approach to corrosion assessment in subsea pipelines
被引 43G. Masi, Manuela Gentile, Roberta Vichi · 2015
此处列出前 3 条
引用本文 28
State-of-the-art progress on artificial intelligence and machine learning in accessing molecular coordination and adsorption of corrosion inhibitors
被引 16Taiwo Wasiu Quadri, Ekemini Daniel Akpan, Saheed Eluwale Elugoke · Applied Physics Reviews · 2025
Study on the evolution mechanism and influencing factors of CO2 corrosion product film under pipe flow
被引 13Min Qin, Sijia Chen, Nan Ye · International Journal of Pressure Vessels and Piping · 2025
Data augmentation using conditional generative adversarial networks: A deep learning-based study on corrosion rate prediction for buried oil and gas pipelines
被引 12Min Pang, Zheyuan Zhang, Zhaoming Zhou · Process Safety and Environmental Protection · 2025
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