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Parul Gandhi, Surbhi Bhatia, Abhishek Kumar, Mohammad Alojail and Pramod Singh Rathore (eds.)
Internet of Things in Business Transformation: Developing an Engineering and Business Strategy for
Industry 5.0, (1–14) © 2021 Scrivener Publishing LLC
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Applications of IIoT-Based Systems in
Detection Leakage in Pipeline Custody
Transfer of Hydrocarbon Products
Pragyadiya Das
*
National Institute of Technology, Trichy, India
Abstract
Custody transfer via pipelines has always been prone to losses due to leakages.
Moreover, due to the large lengths of pipelines, leak detection is a tedious task.
There are various methods that employ mechanical, mathematical and signal pro-
cessing based approaches to detect leaks and their location. With the advent of
Industrial Internet of Things and Machine Learning, the method of leak detec-
tion of pipelines using various machine learning methods have been analyzed and
implemented in this chapter.
Keywords: Custody transfer, pipelines, leak detection, industrial Internet of
Things, machine learning, ensemble learning
1.1 Introduction
The world of Oil and Gas has been moving at an alarming rate. The world is
getting energy hungry [1] and the need for oil (or natural gas) is not going
to go down anytime soon [2].
With this increased need for fuel, there is a constant need for the fuel
(gasoline etc.) to be transported from one place to another. This gives rise
to a need for a medium of transfer that would effectively transport the fuel
in a secure and accountable manner.
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