Advanced autonomous gas leak detection techniques

2012 ◽  
pp. EEP49
Author(s):  
Hazem Mohamed Abdel-Moati
Keyword(s):  
Leak Detection ◽  
Detection Techniques ◽  
Gas Leak

Assessment of Gas Leak Detection Techniques in Natural Gas Infrastructure: A Review

2021 ◽  
Author(s):  
Dulu Appah ◽  
Victor Aimikhe ◽  
Wilfred Okologume
Keyword(s):  
Natural Gas ◽  
Value Chain ◽  
Economic Loss ◽  
Leak Detection ◽  
Analytical Models ◽  
Detection Techniques ◽  
Gas Leakage ◽  
Gas Leak ◽  
Operational Activities ◽  
Gas Leaks

Abstract The undetected gas leak, also referred to as fugitive gas emissions, are produced from natural gas infrastructure during operational activities. If not monitored, this undetected gas leakage can lead to undesirable economic loss of natural gas from installed infrastructures and are often accompanied by toxic air pollutants that typically pose safety and public health concerns. The efficient quantification of gas leaks from natural gas infrastructure value chain is still largely inadequate. Several studies have repeatedly opined that the actual rate of leaks from natural gas infrastructure is often higher than the documented estimates. The latter is largely dependent on assumptions that rely on inadequate data. This study reviewed most of the existing methods implemented to detect and quantify gas leaks in natural gas infrastructure by assessing the techniques based on the amount of leak detected compared to the amount of gas produced from such facilities. The study illustrates both the problem of methane leakage and the opportunities for instantaneous reduction from natural gas transmission facilities. Furthermore, this review provides a detailed account of the various analytical models and instrumentation-based research performed to identify and quantify gas leak detection. The study opined that the uncertainties associated with efficient quantification of natural gas leak rates demonstrate the need for innovative approaches or processes to identify and quantify leak rates from natural gas infrastructure.

State of Research on Negative Pressure Techniques Applied to Leak Detection in Liquid Pipelines

2004 ◽  
Author(s):  
Wei Liang ◽  
Lai-bin Zhang ◽  
Zhao-hui Wang
Keyword(s):  
Pressure Wave ◽  
Analytical Techniques ◽  
Leak Detection ◽  
Point Of View ◽  
Detection Methods ◽  
Propagation Mechanism ◽  
Detection Techniques ◽  
Wave Detection ◽  
State Of Research ◽  
Signal Processing Methods

In China, the rarefaction-pressure wave techniques are widely used to diagnose the leakage fault for liquid pipelines. Many leaking propagating assumptions, such as stable single-phased flow hypothesis and none rarefaction wave front hypothesis, are often uncertain in the process of leak detection, which can easily result in some errors. Thus the rarefaction-pressure wave techniques should be integrated with other analytical techniques to compute a more accurate leak location. Additionally, the development trends of rarefaction-pressure wave techniques lie in three aspects. First, rarefaction-pressure wave detection techniques will be integrated with other compatible detection techniques and modern signal processing methods to solve the complex problems encountered in leak detection. Second, studies of rarefaction-pressure wave techniques have advanced to a new stage. The deductions on propagation mechanism of rarefaction-pressure wave have been successfully applied to determine leaks qualitatively. Third, analysis on rarefaction-pressure wave detection techniques will be made from a quantitative point of view. The quantitative data have been used to deduce leak amounts and location. The purpose of this paper is to present the recent achievements in the study of improved rarefaction-pressure wave detection techniques. The rarefaction-pressure wave detection methods, effects of incomplete information conditions, the improvements of rarefaction-pressure wave detection techniques with modified factors and propagation mechanisms are comprehensively investigated. The disfigurements of rarefaction-pressure wave are analyzed. The corresponding methods for resolving such problems as ill diagnostic information and weak amplitude values are put forward. Several methods for stronger small leakage detection ability, higher leakage positioning precision, lower false alarm rates are proposed. The application of rarefaction-pressure wave detection techniques to safety protection of liquid pipelines is also introduced. Finally, the prospect of rarefaction-pressure wave detection techniques is predicted.

scholarly journals Advanced Leak Detection and Quantification of Methane Emissions Using sUAS

Drones ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 117
Author(s):  
Derek Hollenbeck ◽  
Demitrius Zulevic ◽  
Yangquan Chen
Keyword(s):  
Oil And Gas ◽  
Near Field ◽  
Oil And Gas Industry ◽  
Leak Detection ◽  
Methane Emissions ◽  
Vital Role ◽  
Unmanned Aircraft ◽  
Natural Ecosystems ◽  
Traditional Methods ◽  
Detection Techniques

Detecting and quantifying methane emissions is gaining an increasingly vital role in mitigating emissions for the oil and gas industry through early detection and repair and will aide our understanding of how emissions in natural ecosystems are playing a role in the global carbon cycle and its impact on the climate. Traditional methods of measuring and quantifying emissions utilize chamber methods, bagging individual equipment, or require the release of a tracer gas. Advanced leak detection techniques have been developed over the past few years, utilizing technologies, such as optical gas imaging, mobile surveyors equipped with sensitive cavity ring down spectroscopy (CRDS), and manned aircraft and satellite approaches. More recently, sUAS-based approaches have been developed to provide, in some ways, cheaper alternatives that also offer sensing advantages to traditional methods, including not being constrained to roadways and being able to access class G airspace (0–400 ft) where manned aviation cannot travel. This work looks at reviewing methods of quantifying methane emissions that can be, or are, carried out using small unmanned aircraft systems (sUAS) as well as traditional methods to provide a clear comparison for future practitioners. This includes the current limitations, capabilities, assumptions, and survey details. The suggested technique for LDAQ depends on the desired accuracy and is a function of the survey time and survey distance. Based on the complexity and precision, the most promising sUAS methods are the near-field Gaussian plume inversion (NGI) and the vertical flux plane (VFP), which have comparable accuracy to those found in conventional state-of-the-art methods.

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

2018 ◽  
Vol 29 (2) ◽  
pp. 255-277 ◽  
Author(s):  
Sepideh Yazdekhasti ◽  
Kalyan Ram Piratla ◽  
John C. Matthews ◽  
Abdul Khan ◽  
Sez Atamturktur
Keyword(s):  
Decision Analysis ◽  
Leak Detection ◽  
Performance Data ◽  
Optimal Selection ◽  
Water Utility ◽  
Typical Application ◽  
Content Type ◽  
Detection Techniques ◽  
Multi Criteria Decision Analysis ◽  
Selection Of

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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