Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review

• Main Authors: Ahmed Soomro, A., Akmar Mokhtar, A., B Hussin, H., Lashari, N., Lekan Oladosu, T., Muslim Jameel, S., Inayat, M.
• Format: Article
• Published: 2024
• Online Access: 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

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...