Evaluation of machine learning algorithms in predicting CO 2 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 CO 2 internal corrosion. In fact, current solutions in pipeline corrosion maintenance are extremely costly to the companies. The empirical solutions also lack intell...
| Main Authors: | Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.22218 / |
| Published: |
2019
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| 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/22218/ |
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