Mathematical analysis of marine pipeline leakage monitoring system based on coherent OTDR with improved sensor length and sampling frequency

Pnev, Alexey B.; Zhirnov, A. A.; Stepanov, K. V.; Nesterov, Evgeniy; Shelestov, D. A.; Karasik, Valeriy E.

doi:10.1088/1742-6596/584/1/012016

Cited by 16 publications

(11 citation statements)

References 9 publications

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“…Therefore, with this consideration, the signal to noise ratio (SNR) would be different for the two settings, which also affects the probability of detection performance. The SNR is estimated by the following equation [12]:…”

Section: Leak Sound and Communication Channel Characteristicsmentioning

confidence: 99%

“…The occurrence of leaks leads to environmental pollution and a dangerous hazard. Additionally, these leaks are also an economic problem with millions of tonnes of oil and billions of m 3 of gas lost each year, which amount to about 7% of the total transported oil or gas [12]. Early leak detection is therefore of paramount importance and over the years, WSNs are being used for just this in overground and, more recently, underground pipelines [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

Duru

Ani

2017

Sādhanā

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Leaks in pipelines of the oil and gas industry are an economic and environmental problem that needs to be detected early and effectively. Wireless sensor networks (WSNs) have been researched as one of those technologies to be used in the remote monitoring of pipeline infrastructure. The idea of using tiny sensor nodes on pipelines seemingly provides industries with effective and reliable real-time monitoring, and better coverage density per area. The benefits are apparent in the deployment of WSNs for pipeline monitoring. However, what really lacks is an actual comparison in the detection performance between deployment in overground pipelines and underground pipelines. Extensive research has been going on the use of wireless underground sensor networks for a number of applications. This paper attempts to provide a statistical insight on the concepts of leak detection performance of WSNs when deployed on overground and underground pipelines. The approach in the study employs the hypothesis testing problem to formulate a solution on the detection plan. Through the hypothesis test, the maximum likelihood ratio scheme is used to provide an optimal performance analysis of the detection idea. The test also takes into consideration the signal to noise ratio performance of the two settings of underground and overground and is crucial in bringing up a conjecture on the performance of detection. As would be shown in the paper, thresholds, determined by probability, are the key in ensuring a good detecting performance for the WSN.

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Section: Leak Sound and Communication Channel Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

Duru

Ani

2017

Sādhanā

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“…And also, most importantly, it makes it possible to model solutions to various geodetic problems [10] associated with hazardous production, whether it is an executive survey when aligning crane tracks, or creating a model of the terrain of oil fields. Especially relevant today is the task of geodetic monitoring of the technical condition of the underwater crossing of gas pipelines, this is evidenced by the work of the authors [11][12][13][14][15][16]. The modern gas supply system on the territory of the Russian Federation is a well-developed main gas pipeline network.…”

Section: Introductionmentioning

confidence: 99%

Application of mathematical programming and modeling methods for monitoring the technical condition of underwater crossings of main gas pipelines

2020

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The article deals with the problem of geodetic monitoring of the technical condition of underwater gas pipeline crossings. The theoretical scheme of increasing the accuracy of depth determination is studied in detail. In this paper, the goal is to increase the accuracy of obtaining the depth of the gas pipeline. The accuracy of the planned position for the largest survey scale (1:500) is 0.75 meters and is achieved using satellite equipment, even without the use of a dynamic positioning system, which allows, if necessary, to increase the accuracy of the data obtained by determining the orientation angles of the vessel. Despite the high popularity of this complex, the accuracy of depth measurements does not correspond to regulatory documents, which raises the question of the need to change the method of measurement and data processing, since the performance of work on monitoring the technical condition of gas pipelines is an important and relevant task. In order to control the developed methodology and automate measurement processing, two programs were written in the Python 3.7 programming language in the Spyder environment.

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“…Pipeline leakage is an important security issue, which directly affects the normal operation of life and production. Because huge losses to normal life and production are caused by pipeline leakage, monitoring of the pipeline is imperative [1][2][3][4]. In the aspect of pipeline monitoring, point sensors are easily disturbed by humidity, low temperature, electromagnetic radiation, and other factors, which makes it difficult to identify the pipeline states accurately.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Feature Extraction of Pipeline Microstates Based on Φ-OTDR Sensing System

Meng

et al. 2019

Journal of Control Science and Engineering

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This paper proposes a general integration method which can effectively describe the characteristics of pipeline leakage and help distinguish multiple pipeline microstates. Since the rapid development of Φ-OTDR in recent years, this technology has been applied to more and more fields, such as fiber optic safety monitoring, seismic monitoring, and structural health monitoring. Among them, Φ-OTDR has the characteristic of continuous full-scale monitoring in pipeline monitoring, but there are few researches on pipeline state characteristics at present. In this paper, based on the analysis of the pipeline state with Φ-OTDR technology, a method of extracting multiple microstates of pipelines is proposed. This method combined with the peak-to-average power ratio, short-term interval zero crossing, and fractal characteristics in the frequency domain can effectively characterize the microstate of pipes and provide support for identification of more microstates of pipelines. These features reflect the common characteristics of leaks in gas pipelines and liquid pipelines. Meanwhile, their combination features can represent the small differences in pipeline states. The experimental results show that the method can effectively characterize the microstate information of the pipeline, and the recognition rate of the hybrid feature under two kinds of pipeline leakage and multipressure conditions reaches 91% and 83%.

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Mathematical analysis of marine pipeline leakage monitoring system based on coherent OTDR with improved sensor length and sampling frequency

Cited by 16 publications

References 9 publications

A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

A statistical analysis on the leak detection performance of underground and overground pipelines with wireless sensor networks through the maximum likelihood ratio test

Application of mathematical programming and modeling methods for monitoring the technical condition of underwater crossings of main gas pipelines

Hybrid Feature Extraction of Pipeline Microstates Based on Φ-OTDR Sensing System

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