An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning

An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning

Detection of minor leaks in oil or gas pipelines is a critical and persistent problem in the oil and gas industry. Many organisations have long relied on fixed hardware or manual assessments to monitor leaks. With rapid industrialisation and technological advancements, innovative engineering technol...

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Bibliographic Details
Main Authors: Sumayh S. Aljameel, Dorieh M. Alomari, Shatha Alismail, Fatimah Khawaher, Aljawharah A. Alkhudhair, Fatimah Aljubran, Razan M. Alzannan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Computation
Subjects:
pipeline leakage
machine learning
support vector machine
oil and gas
Online Access:https://www.mdpi.com/2079-3197/10/8/138

Internet

https://www.mdpi.com/2079-3197/10/8/138

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