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Computational methods for pipeline leakage detection and localization: A review and comparative study
Journal article   Peer reviewed

Computational methods for pipeline leakage detection and localization: A review and comparative study

Javad Sekhavati, Seyed Hassan Hashemabadi and Masoud Soroush
Journal of loss prevention in the process industries, v 77, 104771
Jul 2022
DOI: https://doi.org/10.1016/j.jlp.2022.104771
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Computational methods Negative pressure wave Pipeline leak detection and localization Real-time transient modeling Statistical methods
Pipelines are one of the least expensive means of transporting fluids in long distances and distributing fluids in large areas and cities. Fluids transported and distributed by pipelines are often potentially hazardous, can pollute the environment, and are of high economic value. As such, monitoring these pipelines to predict and detect leakage accurately and promptly, and to determine the location of the leak is of importance. This article reviews and evaluates existing computational methods of pipeline leakage detection and puts recent advances in this area into perspective. The methods are of the following types: mass/volume balance, negative pressure wave, pressure point analysis, statistical methods, and real-time transient modeling. The strengths, weaknesses, and limitations of the five types are discussed in terms of the person-hours that they need to detect a leak, and the certainty and speed of the leakage detection and localization. Future outlook for this field is also provided. To substantiate the evaluation, three of these methods are implemented and tested in a pipeline case study. •Existing computational methods of pipeline leakage detection are reviewed and evaluated.•Recent advances in this area are put into perspective.•As a comparative study, three of these methods are implemented and tested via a pipeline case study.•For highly-accurate leakage detection, localization, and size estimation, hybrid methods are suggested.

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13 Record Views
66 citations in Web of Science
68 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#6 Clean Water and Sanitation

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Engineering, Chemical
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