Locating Leaks in Water Mains Using Noise Loggers

El-Abbasy, Mohammed S.; Mosleh, Fadi; Senouci, Ahmed; Zayed, Tarek; Al-Derham, Hassan

doi:10.1061/(asce)is.1943-555x.0000305

Cited by 32 publications

(13 citation statements)

References 11 publications

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“…While the trends presented in Figure 3 are generic in nature, it should be noted that NL is usually more preferred than LD for applications in noisy urban areas, e.g. high traffic zones, for it can pick up leak-induced sounds that are neither audible to the human ear nor to typical listening rods employed in LD (Hunaidi, 2012;Li et al, 2015;El-Abbasy et al, 2016). Additionally, NL is a particularly suitable option for leak detection in low-pressure pipelines (Lander, 2005;Sánchez et al, 2005;Hamilton, 2009;Hamilton and Charalambous, 2015).…”

Section: Resultsmentioning

confidence: 99%

Optimal selection of acoustic leak detection techniques for water pipelines using multi-criteria decision analysis

Yazdekhasti

Piratla

Matthews

et al. 2018

MEQ

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Purpose There has been a sustained interest over the past couple of decades in developing sophisticated leak detection techniques (LDTs) that are economical and reliable. Majority of current commercial LDTs are acoustics based and they are not equally suitable to all pipe materials and sizes. There is also limited knowledge on the comparative merits of such acoustics-based leak detection techniques (ALDTs). The purpose of this paper is to review six commercial ALDTs based on four decisive criteria and subsequently develop guidance for the optimal selection of an ALDT. Design/methodology/approach Numerous publications and field demonstration reports are reviewed for evaluating the performance of various ALDTs in this study to inform their optimal selection using an integrated multi-criteria decision analysis (MCDA) framework. The findings are validated using interviews of water utility experts. Findings The study approach and the findings will have a broad impact on the water utility industry by identifying a suite of suitable ALDTs for a range of typical application scenarios. The evaluated ALDTs include listening devices, noise loggers, leak-noise correlators, free-swimming acoustic, tethered acoustic, and acoustic emissions. The evaluation criteria include cost, reliability, access requirements, and the ability to quantify leakage severity. The guidance presented in this paper will support efficient decision making in water utility management to minimize pipeline leakage. Originality/value This study attempts to address the problem of severe dearth of performance data for pipeline inspection techniques. Performance data reported in the published literature on various ALDTs are appropriately aggregated and compared using a MCDA, while the uncertainty in performance data is addressed using the Monte Carlo simulation approach.

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Section: Resultsmentioning

confidence: 99%

Optimal selection of acoustic leak detection techniques for water pipelines using multi-criteria decision analysis

Yazdekhasti

Piratla

Matthews

et al. 2018

MEQ

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“…Since the system will be monitoring a large number of points, a program must be written to automate the process of pinpointing a leakage which is done traditionally by observing the amplitude and frequency level indicators on the spectrum analyzer connected to the acoustic sensor or through headphones [19]. Several research papers offer algorithms for identifying the existence of a leakage through studying the spectrum of leakage noise [28], [29]. However, we will not go into the details of this process as the acoustic detectors that can perform it is widely commercially available.…”

Section: Discussionmentioning

confidence: 99%

“…Now, the system was tested with a simulated leak noise signal. A leak noise can be modeled as a random signal [29]. Final schematic of the proposed system with the transmitting side shown above, which is supposed to be in the field above the pipeline to be inspected, whereas the receiving side, which is supposed to be in the monitoring center, is shown below.…”

Section: B Simulated Ultrasonic Random Noise Testingmentioning

confidence: 99%

“…After solving the attenuation problem at the output of the network, the signal can be fed into the analyzer which can work according to various algorithms or strategies. The preservation of the shape of the spectrum and recovery of the magnitude of its components allows the analyzer to work probably because many leakage detection strategies and algorithms usually depends on the recognition of the amplitude of the leak noise [17], [28], [29], [31], [32]. Fig.…”

Section: Real Ultrasonic Signal Testingmentioning

confidence: 99%

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Communication Network for Ultrasonic Acoustic Water Leakage Detectors

et al. 2020

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Water leaks in the distribution network produce significant losses and cause serious economic inconvenience especially in areas with water shortage. In this paper, the operational aspects of the most popular offline detection technologies, ground penetrating radars (GPR's), infrared (IR) cameras, and acoustic detectors, were compared. The authors also studied the potential of using the recent Terahertz imaging technology for the same application. Acoustic detectors were found the most suitable technology for the atmosphere in UAE, where the levels of humidity and, consequently, soil moisture are high, because both of GPRs and IR cameras operational capability to detect leaks tend to decrease sharply as soil moisture increases. On the other side, a conventional acoustic detector has very limited scope of detection. This paper presents a method of expanding the sensing component of acoustic detectors by connecting acoustic sensors through a digital communication system using the 3G/4G networks to a monitoring center with an acoustic spectrum analyzer. The novelty of this system is its ability to provide offline detection of leakages in the underground water pipelines remotely without deforming the surrounding environment or adjusting the acoustic detector's analyzing system. Simulation results proves the ability of the system to reconstruct the input noise signal at the end of the proposed network which is to be connected to the acoustic analyzer.

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“…For detecting the faults due to corrosion and to measure the lasting life of pipeline, M. Ahammed presented a specific method [6]. Furthermore, El-Abbasy et al built a model that can assess the state of oil & gas pipelines considering some factors using two different techniques such as Analytic Network Process (ANP) and Monte-Carlo simulation [7]. Later the model is tested on offshore gas pipeline located in Qatar which is already existed, and then the results obtained were compared with real conditions.…”

Section: Introductionmentioning

confidence: 99%

A Simulated Model for Assesing the Line Condition of Onshore Pipelines

Rao

Basha

2018

MATEC Web Conf.

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Pipelines are considered safest mode of transport because of their limited number of facilities. It is therefore very important to monitor and optimize their operation and reduce their facilities to acceptable limits. Hence, it is an immediate requirement to assess and predict condition of existing oil and gas pipelines and to prioritize the planning of their inspection on a timely basis. Therefore, this study presents the development of models based on specific factors, that can predict the condition of onshore oil and gas pipelines. The model was developed using BPN (Back Propagation Network) techniques based on historical inspection data collected from the oil and gas fields. The model is expected to help pipeline operators to assess the condition of existing oil and gas pipelines and hence prioritize their inspection and rehabilitation operations.

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Locating Leaks in Water Mains Using Noise Loggers

Cited by 32 publications

References 11 publications

Optimal selection of acoustic leak detection techniques for water pipelines using multi-criteria decision analysis

Optimal selection of acoustic leak detection techniques for water pipelines using multi-criteria decision analysis

Communication Network for Ultrasonic Acoustic Water Leakage Detectors

A Simulated Model for Assesing the Line Condition of Onshore Pipelines

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