Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM

Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM

ObjectiveTo ensure the safe operation of long-distance submarine oil and gas pipelines, it is essential to enhance the prediction accuracy of their internal corrosion rates. Most existing models rely on Support Vector Machine (SVM), which has limitations including low convergence accuracy, unbalance...

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Bibliographic Details
Main Authors: Zhengshan LUO, Haipeng LYU, Jihao LUO
Format: Article
Language:zho
Published: Editorial Office of Oil & Gas Storage and Transportation 2025-05-01
Series:You-qi chuyun
Subjects:
long-distance pipeline
prediction through svm regression
mwiwoa
internal corrosion rate
Online Access:https://yqcy.pipechina.com.cn/article/doi/10.6047/j.issn.1000-8241.2025.05.007
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