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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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Oil & Gas Storage and Transportation
2025-05-01
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| Series: | You-qi chuyun |
| Subjects: | |
| Online Access: | https://yqcy.pipechina.com.cn/article/doi/10.6047/j.issn.1000-8241.2025.05.007 |
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