Chapter
Dec 21, 2012
Research of Heating Oil Pipeline Leak Detection Based on Negative Pressure Wave
Authors: Chi Chen [email protected], Huijun Zhao [email protected], Xiaobin Wang [email protected], Ning Zhou [email protected], and Shuli Wang [email protected]Author Affiliations
Publication: ICPTT 2012: Better Pipeline Infrastructure for a Better Life
Abstract
The way of transport pipeline occupies an important place by its own unique advantages in the national economy. However, due to various reasons, the leakage accident of pipeline occurred frequently. Not only does it cause the loss of resources and environmental pollution, but it also brings the huge damage of property. This paper analyzes the principles and methods of position which base on negative pressure wave, and a comprehensive platform of pipeline leakage detection is established which based on the negative pressure wave. Analyzing the present research of pipeline leak detection and localization technology in detail. To the leak detection of heating oil pipeline, the problems which impact accurate position are analyzed in detail. The GPS system is used to eliminate the influence of mistiming. For characteristics of heating crude oil which result in the variation of velocity, using Rombery algorithm to solve the method how to position when the velocity of the transient negative pressure wave changes along the tube.
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© 2013 American Society of Civil Engineers.
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Published online: Dec 21, 2012
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School of Petroleum Engineering, Changzhou University; Xinyuan Road, Changzhou 213016. E-mail: [email protected]
Professor, School of Petroleum Engineering, Changzhou University; Xinyuan Road, Changzhou 213016. E-mail: [email protected]
Associate Professor, School of Petroleum Engineering, Changzhou University; Xinyuan Road, Changzhou 213016. E-mail: [email protected]
Associate Professor, School of Petroleum Engineering, Changzhou University; Xinyuan Road, Changzhou 213016. E-mail: [email protected]
Professor, School of Petroleum Engineering, Changzhou University; Xinyuan Road, Changzhou 213016. E-mail: [email protected]
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