Leakage monitoring research and design for natural gas pipelines based on dynamic pressure waves

Liu, Cuiwei; Li, Yuxing; Fang, Liping; Han, Jinke; Xu, Minghai

doi:10.1016/j.jprocont.2016.12.003

Cited by 44 publications

(12 citation statements)

References 20 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many researches of acoustic leakage detection technology have been done in the single-phase pipelines. Our research group also has done a lot of studies in the mechanism of leakage acoustic source generation in gas pipeline since 2012 [25][26][27][28][29][30][31].…”

Section: Experimental Basismentioning

confidence: 99%

Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas‐Liquid, Two‐Phase Flow Pipelines

Liu

et al. 2018

Shock and Vibration

Self Cite

View full text Add to dashboard Cite

Nowadays, the exploitation and transportation of marine oil and gas are mainly achieved using multiphase flow pipelines. Leakage detection of multiphase flow pipelines has always been the most difficult problem regarding the pipeline safety. Compared to other methods, acoustic detection technology has many advantages and high adaptability. However, multiphase flow pipelines are associated with many noise sources that affect the extraction and recognition of leakage signals. In this study, the mechanism of leakage acoustic source generation in gas-liquid, two-phase pipelines is analyzed. First, an acoustic leakage detection experiment in the multiphase pipelines is conducted. The acoustic signals are divided into two classes in accordance with whether leakage occurs or not. The original signals are processed and analyzed based on empirical mode decomposition (EMD) processing technology. Based on the use of signal processing, this study shows that EMD technology can accurately identify the leakage signal in the gas-liquid, two-phase pipeline. Upon increases in the leakage aperture sizes, the entropy of the EMD information of the acoustic signals gradually increases. Finally, the method of the normalized energies characteristic value of each IMF component is also applied in leakage signal processing. When the liquid flow is maintained constant, the energy values of the IMF components change in a nonlinear manner when the gas flow rate increases. This verifies the feasibility of use of the acoustic wave sensing technology for leak detection in multiphase flow pipelines, which has important theoretical significance for promoting the development of safe and efficient operation in two-phase flow pipelines.

show abstract

Section: Experimental Basismentioning

confidence: 99%

Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas‐Liquid, Two‐Phase Flow Pipelines

Liu

et al. 2018

Shock and Vibration

Self Cite

View full text Add to dashboard Cite

show abstract

“…The detection methods of the pipeline leakage have been explored in numerous studies in the available literature. The representative pipeline leak localization methods include the transient model method [29][30][31], the magnetic flux detection method [32,33], the acoustics method [34][35][36][37], the image analysis method [38], the hybrid method [39,40], the negative pressure wave (NPW) method [41,42], etc. For example, Ni et al [31] compared the leak localization based on the particle swarm optimization theory with that based on the transient model.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al [40] proposed a hybrid leak detection technology which combined the negative-pressure wave method and the transient modeling method. Liu et al [41] developed a novel leakage detection approach based on the amplitude attenuation model of dynamic pressure waves. Although the aforementioned technologies are capable of detecting the existence of leakages, they may suffer from high computational cost [31], expensive equipment [32,33], or large location error [41].…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al [41] developed a novel leakage detection approach based on the amplitude attenuation model of dynamic pressure waves. Although the aforementioned technologies are capable of detecting the existence of leakages, they may suffer from high computational cost [31], expensive equipment [32,33], or large location error [41]. For example, the location error of the hybrid leak detection technology is about 10%.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

TR Self-Adaptive Cancellation Based Pipeline Leakage Localization Method Using Piezoceramic Transducers

2022

Sensors

View full text Add to dashboard Cite

In this paper, we propose a novel time reversal-based localization method for pipeline leakage. In the proposed method, a so-called TR self-adaptive cancellation is developed to improve the leak localization resolution. First of all, the proposed approach time reverses and back-propagates the captured signals. Secondly, the time reversed signals with the various coefficients are superposed. Due to the synchronous temporal and spatial focusing characteristic of time reversal, those time reversed signals will cancel each other out. Finally, the leakage location is distinguished by observing the energy distribution of the superposed signal. In this investigation, the proposed method was employed to monitor a 58 m PVC pipeline. Three manually controllable valves were utilized to simulate the leakages. Six piezoceramic sensors equipped on the pipeline, recorded the NWP signals generated by the three valves. The experimental results show that the leak positions can accurately revealed by using the proposed approach. Furthermore, the resolution of the proposed approach can be ten times that of the conventional TR localization method.

show abstract

“…The stress wave generated by the leak source on the pipe is a kind of AE phenomenon. Comparing with the dynamic pressure wave sensors that were used to obtain pressure signals propagating in fluid, the AE sensors that are stalled on the outer surface of the pipe to detect stress waves are more convenient and potential . The sound generation mechanism and propagation characteristics of AE signals caused by gas leak in pipe were simulated.…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of gas leak detection in screw thread connections of galvanized pipe based on acoustic emission and neural network

Gong

Song

2019

Struct Control Health Monit

View full text Add to dashboard Cite

Summary Galvanized steel pipes with screw thread connections are widely used in the household part of urban gas distribution system. For such pipes, leakages usually occur at the connections as opposed to the pipe bodies. A leak detection method has been proposed for galvanized steel pipes on the basis of acoustic emission (AE) and neural network. From the viewpoint of engineering application, this work conducts a thorough experimental investigation on the efficiency, accuracy, and applicability conditions of the method. An experimental platform consisting of one trunk pipe and three branch pipes with different diameters is set up to simulate the various leak scenarios. After feature extraction and analysis of the AE signals, a classifier on the basis of back propagation neural network is built for gas leak identification. The applicability of the classifier is investigated quantitatively considering different pipe diameters, number of connections, and leak rate. It validates that the proposed leak detection model can achieve an average accuracy above 95% of the leak with flow above 0.052 L/s on the trunk pipe, on the premise that the signals pass through no more than four screw thread connections. Then, the leak with flow above 0.1 L/s on branch pipes can be detected under the same sensor arrangement.

show abstract

Leakage monitoring research and design for natural gas pipelines based on dynamic pressure waves

Abstract: Key laboratory of Qingdao oil and gas storage and transportation technologies, China; c. Key laboratory of CNPC heavy gas transportation and LNG technologies, China)

Cited by 44 publications

References 20 publications

Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas‐Liquid, Two‐Phase Flow Pipelines

Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas‐Liquid, Two‐Phase Flow Pipelines

TR Self-Adaptive Cancellation Based Pipeline Leakage Localization Method Using Piezoceramic Transducers

Experimental validation of gas leak detection in screw thread connections of galvanized pipe based on acoustic emission and neural network

Contact Info

Product

Resources

About