Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Pipelines are vital for transporting oil and gas, but leaks can have serious consequences such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline integrity is crucial for a safe and sustainable energy supply. The rapid progress of machine learning (ML) technologies pr...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd
2023
|
| Online Access: | http://scholars.utp.edu.my/id/eprint/37299/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168241856&doi=10.1016%2fj.egyr.2023.08.009&partnerID=40&md5=c11a628b554bd74ac80009361e25c404 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|