OTDR fiber-optical chemical sensor system for detection and location of hydrocarbon leakage

Buerck, Jochen; Roth, S.; Kraemer, K.; Mathieu, H

doi:10.1016/s0304-3894(03)00199-7

Cited by 50 publications

(33 citation statements)

References 17 publications

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“…These researches can be categorized into two main groups: leakage detection location and calculation its amount. In the case of leakage detection, some methods and studies for gas pipeline leak detection have been developed in recent studies [8][9][10][11][12].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Correlations for estimating natural gas leakage from above-ground and buried urban distribution pipelines

Ebrahimi‐Moghadam

Farzaneh–Gord

Deymi–Dashtebayaz

2016

Journal of Natural Gas Science and Engineering

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Section: Accepted Manuscriptmentioning

confidence: 99%

Correlations for estimating natural gas leakage from above-ground and buried urban distribution pipelines

Ebrahimi‐Moghadam

Farzaneh–Gord

Deymi–Dashtebayaz

2016

Journal of Natural Gas Science and Engineering

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“…Many types of optical fiber hydrogen sensors have been proposed, including evanescent wave absorption devices [9,10], micromirror optode [11,12], Mach-Zehnder interferometers [13], surface plasmon resonance (SPR) devices [14], and fiber Bragg gratings (FBG) [15][16][17]. Among them, the fiber-optic sensor based on evanescent wave absorption is able to detect the leakage point by time-domain reflectometry using light pulse technique [18]. However, propagation loss of the sensor device and dynamic range of OTDR instruments limit the sensing length of the fiber-optic sensor device.…”

Section: Introductionmentioning

confidence: 99%

A Robust Fiber Bragg Grating Hydrogen Gas Sensor Using Platinum-Supported Silica Catalyst Film

et al. 2018

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A robust fiber Bragg grating (FBG) hydrogen gas sensor for reliable multipoint-leakage monitoring has been developed. The sensing mechanism is based on shifts of center wavelength of the reflection spectra due to temperature change caused by catalytic combustion heat. The sensitive film which consists of platinum-supported silica (Pt/SiO 2 ) catalyst film was obtained using sol-gel method. The precursor solution was composed of hexachloroplatinic acid and commercially available silica precursor solution. The atom ratio of Si : Pt was fixed at 13 : 1. A small amount of this solution was dropped on the substrate and dried at room temperature. After that, the film was calcined at 500°C in air. These procedures were repeated and therefore thick hydrogen-sensitive films were obtained. The catalytic film obtained by 20-time coating on quartz glass substrate showed a temperature change 75 K upon exposure to 3 vol.% H 2 . For realizing robust sensor device, this catalytic film was deposited and FBG portion was directly fixed on titanium substrate. The sensor device showed good performances enough to detect hydrogen gas in the concentration range below lower explosion limit at room temperature. The enhancement of the sensitivity was attributed to not only catalytic combustion heat but also related thermal strain.

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“…Given the length and linearity of the transmission pipelines, often spanning hundreds of kilometers, distributed acoustic sensing (DAS) technology is specially well suited for this task [3][4][5][6][7][8][9][10][11], as it allows monitoring large distances with a single interrogation unit. The fact that deployment of fiber optic bundles when building pipelines is a routine well established action, also contributes to the feasibility of DAS-based pipeline integrity monitoring systems.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

Tejedor

Macías-Guarasa

Martins³

et al. 2017

Applied Sciences

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Abstract:There is an increasing interest in researchers and companies on the combination of Distributed Acoustic Sensing (DAS) and a Pattern Recognition System (PRS) to detect and classify potentially dangerous events that occur in areas above fiber optic cables deployed along active pipelines, aiming to construct pipeline surveillance systems. This paper presents a review of the literature in what respect to machine learning techniques applied to pipeline surveillance systems based on DAS+PRS (although its scope can also be extended to any other environment in which DAS+PRS strategies are to be used). To do so, we describe the fundamentals of the machine learning approaches when applied to DAS systems, and also do a detailed literature review of the main contributions on this topic. Additionally, this paper addresses the most common issues related to real field deployment and evaluation of DAS+PRS for pipeline threat monitoring, and intends to provide useful insights and recommendations in what respect to the design of such systems. The literature review concludes that a real field deployment of a PRS based on DAS technology is still a challenging area of research, far from being fully solved.

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OTDR fiber-optical chemical sensor system for detection and location of hydrocarbon leakage

Cited by 50 publications

References 17 publications

Correlations for estimating natural gas leakage from above-ground and buried urban distribution pipelines

Correlations for estimating natural gas leakage from above-ground and buried urban distribution pipelines

A Robust Fiber Bragg Grating Hydrogen Gas Sensor Using Platinum-Supported Silica Catalyst Film

Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review

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