Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review
A comprehensive evaluation of the integrity of oil and gas pipelines subjected to corrosion defect is required for forecasting health & safety actions. If corrosion is ignored, it may have significant repercussions on a person's health, finances, and the environment. The preponderance of fa...
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| 主要な著者: | , , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
2024
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| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/38109/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175644127&doi=10.1016%2fj.engfailanal.2023.107747&partnerID=40&md5=381cc82b828d6799b12292ee682af738 |
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