Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review
Hydrocarbon fluid integrity evaluation in oil and gas pipelines is important for anticipating HSE measures. Ignoring corrosion is unavoidable and may have severe personal, economic, and environmental consequences. To anticipate corrosion's unexpected behavior, most research relies on determinis...
| Main Authors: | Soomro, A.A., Mokhtar, A.A., Kurnia, J.C., Lashari, N., Lu, H., Sambo, C. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28889 / |
| Published: |
Elsevier Ltd
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117770376&doi=10.1016%2fj.engfailanal.2021.105810&partnerID=40&md5=d84e3280689c46bad77980c175ad2b39 http://eprints.utp.edu.my/28889/ |
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