Leak detection systems in oil and gas fields: Present trends and future prospects

Meribout, Mahmoud; Khezzar, Lyes; Aberqi, Ahmed; Ghendour, Nabil

doi:10.1016/j.flowmeasinst.2020.101772

Cited by 52 publications

(28 citation statements)

References 39 publications

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“…Moreover, deployment in an urban environment involves the risk of signal interference from urban activities such as traffic and damage to optical fiber for which repair or replacement can then pose a huge challenge to practitioners. However, Meribout & Khezzar (2020) review the possibility of an optical fiber system being a more robust leak detection system for oil and gas pipelines. Thus, the potential can be similarly explored through further research for the case of water pipelines as well.…”

Section: Research On Real Wdnsmentioning

confidence: 99%

Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review

et al. 2021

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This study reviews the state-of-the-art application of fiber optics in water distribution networks for leak detection and localization. The use of fiber optics in the oil and gas sector has been well-established; however, its potential in water pipelines is not evident owing to limited research. This study, therefore, presents the research developments of fiber optics in water leak detection and localization using the mixed methodology approach by integrating bibliometric and systematic analyses. A scientometric analysis is carried out to analyze the science maps of (1) journal sources, (2) contributing countries, and (3) co-occurrence of influential keywords. The systematic analysis evaluates the use of eight types of fiber optics, such as accelerometer-based fiber optics and hydrophone-based fiber optics, in water leak detection and localization. The review reveals five important directions for future research such as real network-based studies and the development of hybrid techniques.

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Section: Research On Real Wdnsmentioning

confidence: 99%

Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review

et al. 2021

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“…Leak detection techniques based on acoustics and infrared (IR) are the most widely used techniques for the detection of liquid and gas leaks, respectively. However, these two techniques do not work sometimes [1]. For instance, IR approaches cannot accurately detect leaks in wet weather, while acoustic sensors may not accurately detect gas leaks in the target area because of noise [1].…”

Section: Introductionmentioning

confidence: 99%

“…However, these two techniques do not work sometimes [1]. For instance, IR approaches cannot accurately detect leaks in wet weather, while acoustic sensors may not accurately detect gas leaks in the target area because of noise [1]. Due to the need to purchase and install new sensors, the additional cost of buying hardware equipment may be incurred.…”

Section: Introductionmentioning

confidence: 99%

Developing and Implementing an AI-Based Leak Detection System in a Long-Distance Gas Pipeline

Wang¹,

Lin²,

Shen³

2022

Adv. technol. innov.

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This research proposes an artificial intelligence (AI) detection model using convolutional neural networks (CNN) to automatically detect gas leaks in a long-distance pipeline. The change of gap pressure is collected when leakage occurs in the pipeline, and thereby the feature of gas leakage is extracted for building the CNN model. The gas leak patterns in the long-distance pipeline are analyzed. A pipeline detection model based on AI technology for automatically monitoring the leaks is proposed by extracting the feature of gas leakage. This model is tested by collecting gas pressure data from an existing natural gas pipeline system starting from Mailiao to Taoyuan in Taiwan. The testing result shows that the reduced model of leak detection can be used to detect the leaks from the upstream and downstream pipelines, and the AI-based pipeline leak detection system can obtain a satisfactory result.

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“…Invasive techniques include the use of tracer gases [7], ground penetrating radars [6], flow, pressure [8] and acoustics sensors [9] which include hydrophones. Examples of non-invasive techniques include the use of visual image and video sensors [10], soil humidity sensors [11], accelerometers [12] as well as acoustic sensors such as microphones [13] or geophones that are www.videleaf.com placed on the pipes' exterior. These can be further enhanced when coupled with wireless implementations using IoT solutions, thereby allowing real time continuous monitoring.…”

Section: Introductionmentioning

confidence: 99%

AIN based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

Phua¹,

Rabeek²,

Han³

et al. 2021

Water: Ecology and Management

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electro-mechanical system) are particular useful for IOT applications with low power consumption and small device footprint. Data analytics including characterization, pre/post processing are applied to determine the leaks. In this work, we have developed the process flow and algorithm to detect pipe leakage occurrence and pinpoint the location accurately. Our approach can be implemented to detect leaks for different pipe lengths, diameters and materials.

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Leak detection systems in oil and gas fields: Present trends and future prospects

Cited by 52 publications

References 39 publications

Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review

Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review

Developing and Implementing an AI-Based Leak Detection System in a Long-Distance Gas Pipeline

AIN based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

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