Direct backward transient analysis for leak detection in pressurized pipelines: from theory to real application

A novel transient-based technique – the direct backward transient analysis (DBTA) – for leak location of single pressurized pipes is presented and tested using real-life data. A transient flow is generated in the pipe by closing the downstream end valve. The transient pressure signal is then measured only at the valve location. Using the method of characteristics and exploiting the measurements after full valve closure, the transient flow is backwardly analyzed by sweeping the pipe from the downstream to the upstream end. Knowing the upstream end heads, additional equations are developed to make the problem of leak detection determined and possible to be solved directly. A system of equations and unknown variables of leaks and flow specifications are then established and simultaneously solved together. Eventually, nodes with non-zero leak size are introduced as leaks. Finally, the method is applied to a real transmission pipeline, Lintrathen East Trunk Main Network at Scottish Water (Dundee, UK) and its abilities are investigated. The results show that the method is capable of dealing with real systems and is reliable, fast and easy to use.

[1]  Ali Haghighi,et al.  Optimum leak detection and calibration of pipe networks by inverse transient analysis , 2010 .

[2]  Gary J. Weil Non Contact, Remote Sensing of Buried Water Pipeline Leaks Using Infrared Thermography , 1993 .

[3]  Angus R. Simpson,et al.  1 LEAK DETECTION AND CALIBRATION USING TRANSIENTS AND GENETIC ALGORITHMS * , 2013 .

[4]  Bruno Brunone,et al.  Leak detection in water trunk mains using transient pressure signals : field tests in Scottish water , 2004 .

[5]  Helena M. Ramos,et al.  Surge damping analysis in pipe systems: modelling and experiments Effet d'atténuation du coup de bélier dans les systèmes de conduits: modelation mathématique et expériences , 2004 .

[6]  K Sridharan,et al.  Inverse transient analysis in pipe networks , 1996 .

[7]  M. Greco,et al.  Effects of Two-Dimensionality on Pipe Transients Modeling , 1995 .

[8]  Ali Haghighi,et al.  Leak detection in pipelines by inverse backward transient analysis , 2009 .

[9]  Helena M. Ramos,et al.  Application of hydraulic transients for leak detection in water supply systems , 2004 .

[10]  J. Liggett,et al.  Experimental Observation and Analysis of Inverse Transients for Pipeline Leak Detection , 2007 .

[11]  Abdulrahman Mohammad Al-khomairi Leak detection in long pipelines using the least squares method , 2008 .

[12]  Zoran S. Kapelan,et al.  A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks , 2003 .

[13]  R. Szymkiewicz,et al.  Developments in unsteady pipe flow friction modelling , 2002 .

[14]  Ali Haghighi,et al.  Transient generation in pipe networks for leak detection , 2011 .

[15]  Chengchao Xu,et al.  Optimal Valve Control in Water‐Distribution Networks , 1990 .