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Permanent link (DOI): https://doi.org/10.7939/R3TX35C17

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Sensitivity Study of a Computer Model Based Leak Detection System in Liquid Pipelines Open Access

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Other title
Subject/Keyword
Computer Model Based Leak Detection System in Liquid Pipelines
Computer Model Based Leak Detection System
Sensitivity Study of a Computer Model Based Leak Detection System in Liquid Pipelines
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Pabon,Sergio
Supervisor and department
She, Yuntong (Department of Civil and Environmental Engineering)
Loewen, Mark Department of Civil and Environmental Engineering)
Examining committee member and department
Loewen, Mark (Department of Civil and Environmental Engineering)
Li, Huazhou (Department of Civil and Environmental Engineering)
She, Yuntong (Department of Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Water Resources Engineering
Date accepted
2015-09-28T10:09:10Z
Graduation date
2015-11
Degree
Master of Science
Degree level
Master's
Abstract
Computer model based leak detection technique is extensively applied in the energy pipeline industry. However, its effectiveness is often limited by the ability of the computer models to accurately reproduce the complex real-world pipeline systems and by inaccurate and insufficient measured data. Therefore, it is important to evaluate the impact of various factors and identify those which have the largest effect on leak detection. This sensitivity study investigated the effect of leak rate, the R factor (which includes pipeline, instrument and operating variables), leak location, transient type and severity, pressure and flow noise level in instruments on the response of the leak detection system. Datasets of simulated leaks on a virtual pipeline were created and used to test this sensitivity for various leak scenarios and data without and with instrument noise. The output variables of the tests revealed the leak detection system is more sensitive to R factor than to flow state, noise of instruments, and the transient severity. Leak location seems to have a smaller impact on the leak detection system. Leaks are easier to detect in pipeline systems with low R factor or during flow decrease transient events. These results are valuable to prioritize future improvement on the computer model, instruments, or the SCADA system in pipeline systems with low R factor or flow decrease transient events.
Language
English
DOI
doi:10.7939/R3TX35C17
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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