A Leak Localization Method of Pipeline by Means of Fluid Transient
                    Model

Kiuchi, Tatsuhiko

doi:10.1115/1.2905988

Cited by 7 publications

(6 citation statements)

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“…The pressure discrepancy method compares pressure values at a number of points throughout the system. In the dynamic volume balance method, two flow discrepancies are computed at the inlet and outlet (Kiuchi;1993;Liou and Tian;1995). This method uses the fault sensitive approach -the pipeline is assumed to be intact in the calculations.…”

Section: Transient Modellingmentioning

confidence: 99%

“…The wave speed specifies the speed of the pressure disturbance propagation through the fluid in the pipeline. When performing transient analysis, a generalised formula (Wylie and Streeter;1993) for the wave speed in a thin walled (D/e > 25) elastic conduit is…”

Section: Wave Speed In a Conduitmentioning

confidence: 99%

“…There are two conflicting constrains that have to be fulfilled: (1) if the system of two or more pipes is simulated, it is necessary that the time increment is equal for all pipes; (2) The Courant's criterion has to be satisfied for each pipe in the system (Wylie and Streeter;1993):…”

Section: Time Step In Mocmentioning

confidence: 99%

“…In case of a burst, a negative change in the measured pressure would occur. The cumulative sum (CUSUM) test (Basseville and Nikiforov;1993;Page;1954) is used to monitor the changes in the data. Since the pressure measurement from the real system can contain a considerable amount of noise, pre-filtering of the signal is carried out.The adaptive Recursive Least Squares (RLS) filter is used to reduce the noise content.…”

Section: Monitoring For a Burst Eventmentioning

confidence: 99%

“…There are two main parameters that are measured -pressure and flow. The number of measurement points varies from single point pressure monitoring (Schlattman;1991;Whaley et al; to pressure measurements at each end of the pipeline 1993) and even both pressure and flow measurements at each end of the pipeline (EmaraShabaik et al;Isermann;1984;Liou and Tian;1995;Mukherjee and Narasimhan;Zhang;. Although the techniques using more meas-urements have better performance, those applications require a great deal of instrumentation to be installed on the pipeline.…”

Section: Introductionmentioning

confidence: 99%

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Sudden pipe bursts occur in high-pressure water transmission pipelines and water distribution networks. The consequences of these bursts can be very expensive due to the outage time while the burst pipe is repaired, the cost of repair, and damage to surrounding property and infrastructure. As a result, it is advantageous to minimise the detection and location time after the burst occurs.Currently, there is no effective solution for the burst detection and location problem in water distribution systems. The applications in oil and gas pipelines and pipe networks show the advantages of continuous monitoring. A number of techniques are used to determine the location and size of a burst. One of the most promising approaches is fluid transient modelling and analysis. Pressure transient analysis has also been successfully applied for detection and location of existing leaks.A sudden pipe burst creates a negative pressure wave that travels in both directions away from the burst point. The analysis of this wave is the main principle for the techniques presented in this thesis. Experiences from previous research suggest that, to achieve the best performance, single pipelines and pipe networks have to be treated separately. Thus, two different approaches for burst detection and location are presented.When a burst occurs in a pipeline, the burst-induced pressure wave travels in both directions along the pipeline and is reflected at the boundaries. Using a pressure trace measured at one location along the pipeline, the timing of the initial and reflected burst-induced waves determines the location of the burst. The presented continuous monitoring technique uses the modified two-sided cumulative sum (CUSUM) algorithm to detect abrupt changes in the pressure iii data caused by the pipe break. The results from both laboratory and field pipelines are used to verify the proposed method. Different burst and measurement locations are tested. The results are promising for burst detection and location in real systems.In the network case, continuous pressure measurements at two locations are analysed. The burst detection and location algorithm is based on the difference between the arrival times of the burst-induced pressure wave at each measurement point and on the measured wave magnitude. The arrival times are determined automatically in real time. A method for determining optimal measurement locations is also presented. Results from numerical simulations show that the proposed technique has potential as a tool for effective detection and location of bursts in real pipe networks.

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Section: Transient Modellingmentioning

confidence: 99%

Section: Wave Speed In a Conduitmentioning

confidence: 99%

Section: Time Step In Mocmentioning

confidence: 99%

Section: Monitoring For a Burst Eventmentioning

confidence: 99%