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Novel leak localization in pressurized pipeline networks using acoustic emission and geometric connectivity

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TLDR
In this paper, a leak localization approach is proposed for pipeline networks spread in a two dimensional configuration, and the approach is to determine arrival time differences using cross correlation function, and introduce the geometric connectivity in order to identify the path that the leak waves should propagate to reach the AE sensors.
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This article is published in International Journal of Pressure Vessels and Piping.The article was published on 2012-04-01 and is currently open access. It has received 97 citations till now. The article focuses on the topics: Pipeline transport & Acoustic emission.

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Citations
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Journal ArticleDOI

A review on different pipeline fault detection methods

Abstract: Pipeline faults like leakage and blockage always create problem for engineers. Detection of exact fault quantity and its location is necessary for smooth functioning of a plant or industry and safety of the environment. In this paper brief discussion is made on various pipeline fault detection methods viz. Vibration analysis, Pulse echo methodology, Acoustic techniques, Negative pressure wave based leak detection system, Support Vector Machine (SVM) based pipeline leakage detection, Interferometric fibre sensor based leak detection, Filter Diagonalization Method (FDM), etc. In this paper merit and demerits of all methods are discussed. It is found that these methods have been applied for specific fluids like oil, gas and water, for different layout patterns like straight and zigzag, for various lengths of pipeline like short and long and also depending on various operating conditions. Therefore, a comparison among all methods has been done based on their applicability. Among all fault detection methods, Acoustic reflectometry is found most suitable because of its proficiency to identify blockages and leakage in pipe as small as 1% of its diameter. Moreover this method is economical and applicable for straight, zigzag and long, short length pipes for low, medium and high density fluid.
Journal ArticleDOI

Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology

TL;DR: In this paper, a new application of optical frequency domain reflectometry (OFDR) technique is introduced to monitor both corrosion and leakage, and simulation tests are conducted to verify this method, where several optical fiber sensors were bonded to the pipe surface with the same interval, forming a sensor array.
Journal ArticleDOI

Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method

TL;DR: Wang et al. as mentioned in this paper proposed a modified acoustic velocity and location formula, and an improved wavelet double-threshold de-noising optimization method was also proposed to address the original acoustic wave signal collected by the test platform.
Journal ArticleDOI

Inspection and monitoring systems subsea pipelines: A review paper:

TL;DR: One of the largest movers of the world economy is the oil and gas industry, which generates billions of barrels of oil to match more than half the world's energy demands as discussed by the authors.
Journal ArticleDOI

Natural-gas pipeline leak location using variational mode decomposition analysis and cross-time–frequency spectrum

TL;DR: In this article, a novel method based on variational mode decomposition (VMD) and cross-time-frequency spectrum (CTFS) is proposed for leak location in natural-gas pipelines.
References
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Book

Wave propagation in elastic solids

TL;DR: In this article, the linearized theory of elasticity was introduced and the elasticity of a one-dimensional motion of an elastic continuum was modeled as an unbound elastic continuum.
Journal ArticleDOI

Review of pipeline integrity management practices

TL;DR: This paper provides a review and analysis of all aspects related to pipeline integrity, and pipeline integrity management system design is presented using activity models, process models, and knowledge structures.
Journal ArticleDOI

A model of the correlation function of leak noise in buried plastic pipes

TL;DR: In this paper, the authors developed an analytical model to predict the cross-correlation function of leak signals in plastic pipes based on a theoretical formulation of wave propagation in a fluid-filled pipe in vacuo and the assumption that the leak sound has a flat spectrum over the bandwidth of interest.
Journal ArticleDOI

Long-Range Pipeline Monitoring by Distributed Fiber Optic Sensing

TL;DR: In this article, the authors present advances in long-range distributed sensing and in novel sensing cable designs for distributed temperature and strain sensing, including leakage detection on brine and gas pipelines, strain monitoring on gas pipelines and combined strain and temperature monitoring on composite flow lines, and composite coiled tubing pipes.
Journal ArticleDOI

A reference standard for the development of acoustic emission pipeline leak detection techniques

TL;DR: In this paper, a reference standard for AE equipment to be used in pipeline leak detection is presented, which consists of a short length of 2-inch diameter piping with facilities for introducing several kinds of controlled leaks.
Related Papers (5)
Frequently Asked Questions (16)
Q1. What have the authors contributed in "Novel leak localization in pressurized pipeline networks using acoustic emission and geometric connectivity" ?

The leak in pressurized pipelines causes turbulent flow at its location, which generates solid particles or gas bubbles impacting on the pipeline material. In this paper, a new leak localization approach is proposed for pipeline networks spread in a two dimensional configuration. The approach is to determine arrival time differences using cross correlation function, and introduce the geometric connectivity in order to identify the path that the leak waves should propagate to reach the AE sensors. 

As the attenuation coefficient decreases with frequency, lower frequency AE sensors can be selected for polymer based pipelines in order to monitor leakage with reasonable sensor spacing. 

As leak source generates continuous acoustic emissions which can be highly chaotic, cross correlation approach should be integrated with the hit sequence identification based on the ASL distributions of the AE sensors in order to reduce the error of the arrival time differences of the AE sensors. 

Secondary information is needed for the reliable use of cross correlation approach, and preventing potential errors in the arrival time difference determination of continuous AE sources. 

The phase velocity c for time harmonic waves is a complex number as a function of wavenumber k as given by the equation [17]:)()( 21 kickcc += (6)The first term indicates dispersive viscoelastic waves; the second term with imaginary part indicates the amplitude loss with the increase of wave number. 

Due to the attenuation, the AE sensors away from the leak source detect the source with lower amplitude as compared to the AE sensor closest to the sensor (i.e. the first hit sensor). 

The AE sensor responses to the leak source can be chaotic, which may cause uncertainty and high probability of error in source location. 

Caleyo et al. [4] demonstrated that prioritizing the pipeline inspection and maintenance based on the failure data might establish incorrect prioritization due to significant uncertainty of pooling failure of dissimilar pipeline systems data. 

The Acoustic Emission method is a nondestructive testing method that relies on propagating transient waves generated by sudden stress-strain change in a material such as crack growth, leak, impact. 

The ability of the AE method to locate time dependent (e.g. crack growth) or instantaneous sources (e.g. impact) with the sensors further from the flaws is a major advantage as compared to other NDE methods. 

The attenuation and the wave velocity study with distance can be integrated with the location model for any kinds of pipeline materials in order to increase the reliable leakage location. 

AE source energy due to the target leak rate should be identified in correlation with the attenuation characteristics of material in order to validate the claim that the AE source can propagate along the pipes above the background noise so that two nearest sensors can detect the source. 

The attenuation coefficient obtained on the 2.54 cm PVC pipe using 60 kHz sensor indicates that 60 kHz is not an appropriate frequency for detecting leakage in long PVC pipeline networks. 

As compared to the burst type AE signal, the continuous AE signal does not have a definite rise time, and can be idealized as the summation of multiple wave arrivals using Heaviside functions. 

The second assumption causes significant error if the conventional source localization algorithm is applied to structures that are spread in two dimensions while they could be idealized as one dimensional due to the length to cross section ratio. 

The standard deviation indicates the expected error in source localization due to the variance in the wave velocity caused by dispersion.