Evaluation of machine learning algorithms in predicting CO2 internal corrosion in oil and gas pipelines

• Main Authors: Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J.
• Format: Article
• Published: Springer Verlag 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053592524&doi=10.1007%2f978-3-030-00211-4_22&partnerID=40&md5=356c85cd6b927bbba123bfb3299c8ca5; http://eprints.utp.edu.my/23530/

Over recent years, a lot of money have been spent by the oil and gas industry to maintain pipeline integrity, specifically in handling CO2 internal corrosion. In fact, current solutions in pipeline corrosion maintenance are extremely costly to the companies. The empirical solutions also lack intelli...