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Numerical study on leakage detection and location in a simple gas pipeline branch using an array of pressure sensors
Authors:Sung Pill Jang  Chan Young Cho  Jin Hyun Nam  Si-Hyung Lim  Donghoon Shin  Tae-Yong Chung
Affiliation:(1) Department of Computer Science, Zarka Private University, P.O. Box 2000, 13110 Zarka, Jordan;(2) Civil Engineering Dept., College of Engineering, Applied Science University, Amman, Jordan
Abstract:Pressure signals measured in gas pipelines provide useful information for monitoring the status of pipeline network operations. This study numerically investigates leakage detection and location in a simple gas pipeline branch using transient signals from an array of pressure sensors. A pipeline network simulation model was developed and used to predict one-dimensional compressible flow in gas pipelines. Two monitoring methods were tested for leakage detection and location; these include cross-correlation monitoring and pressure differential monitoring. The performance and reliability of the two monitoring methods were numerically assessed based on simulation results for a simple pipeline branch operation with a prescribed leakage rate (5% of total flow rate in the gas pipeline).
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