Leak detection of long-distance district heating pipeline: A hydraulic transient model-based approach

This paper describes procedures developed by PETROBRAS Research & Development Center to assess a software-based leak detection system (LDS) for short pipelines. These so-called “Low Complexity Pipelines” are short pipeline segments with single-phase liquid flow. Detection solutions offered by service companies are frequently designed for large pipeline networks, with batches and multiple injections and deliveries. Such solutions are sometimes impractical for short pipelines, due to high cost, long tuning procedures, complex instrumentation and substantial computing requirements. The approach outlined here is a corporate approach that optimizes a LDS for shorter lines. The two most popular implemented techniques are the Compensated Volume Balance (CVB), and the Real Time Transient Model (RTTM). The first approach is less accurate, reliable and robust when compared to the second. However, it can be cheaper, simpler, faster to install and very effective, being marginally behind the second one, and very cost-efective. This paper describes a procedure to determine whether one can use a CVB in a short pipeline.

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Sensitive Liquid Sensor For Long Distance Leak Detection

10.1117/12.945083 ◽

1984 ◽

Cited By ~ 2

Author(s):

M. Nagai ◽

M. Shimizu ◽

N. Ohgi

Keyword(s):

Leak Detection ◽

Long Distance

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A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring

Sensors ◽

10.3390/s20185204 ◽

2020 ◽

Vol 20 (18) ◽

pp. 5204

Author(s):

Valery Nkemeni ◽

Fabien Mieyeville ◽

Pierre Tsafack

Keyword(s):

Kalman Filter ◽

Distributed Computing ◽

Power Consumption ◽

Water Distribution ◽

Water Distribution Network ◽

Leak Detection ◽

Long Distance ◽

Physical Measurements ◽

Water Pipeline ◽

And Performance

Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime.

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Hydraulic Transient Analysis and Leak Detection on Transmission Pipelines: Field Tests, Model Calibration, and Inverse Modeling

World Environmental and Water Resources Congress 2007 ◽

10.1061/40927(243)476 ◽

2007 ◽

Cited By ~ 2

Author(s):

Mark L. Stephens ◽

Angus R. Simpson ◽

Martin F. Lambert

Keyword(s):

Inverse Modeling ◽

Model Calibration ◽

Transient Analysis ◽

Field Tests ◽

Leak Detection ◽

Hydraulic Transient ◽

Transmission Pipelines

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Model-based leak detection and location in water distribution networks considering an extended-horizon analysis of pressure sensitivities

Journal of Hydroinformatics ◽

10.2166/hydro.2013.019 ◽

2013 ◽

Vol 16 (3) ◽

pp. 649-670 ◽

Cited By ~ 26

Author(s):

Myrna V. Casillas Ponce ◽

Luis E. Garza Castañón ◽

Vicenç Puig Cayuela

Keyword(s):

Water Distribution ◽

Real Data ◽

Leak Detection ◽

Distribution Networks ◽

Optimization Method ◽

Least Square ◽

Water Distribution Networks ◽

Sensitivity Matrix ◽

Model Based ◽

Leak Detection And Location

In this paper, we propose a new approach for model-based leak detection and location in water distribution networks (WDN), which considers an extended time-horizon analysis of pressure sensitivities. Five different ways of using the leak sensitivity matrix to isolate the leaks are described and compared. The first method is based on the binarization approach. The second, third and fourth methods are based on the comparison of the measured pressure vectors with the leak sensitivity matrix using different metrics: correlation, angle between vectors and Euclidean distance, respectively. The fifth method is based on the least square optimization method. The performance of these methods is compared when applied to two academic small networks (Hanoi and Quebra) widely used in the literature. Finally, the three methods with better performance are applied to a district metering area of the Barcelona WDN using real data.

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