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

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...

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Bibliographic Details
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/
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