Leakage detection method of oil pipeline based on disturbance response
YIN Yuanbo1,2, YUAN Chen1,2, DU Huimin3, CUI Zhaoxue4, LIU Cuiwei1,2, LI Yuxing1,2
1.College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China;
2.Shandong Provincial Key Lab of Oil and Gas Storage and Transportation Safety, China University of Petroleum (East China), Qingdao 266580, China;
3.Petro China Southwest Oil & Gasfield Company, Chengdu 610041, China;
4.Changqing Engineering Design Co., Ltd., Xi’an 710018, China
Abstract:The flow state inside the pipeline cannot be used to diagnose the pipeline state if the pipeline cannot generate enough transient disturbance, and this defect can be compensated by the detection method based on the disturbance reflected signal. Disturbance signal is introduced to the pipeline with leakage and transient state is caused. Then dynamic pressure is collected by distributed sensor to identify and analyze the reflection of disturbance signal from the leakage hole which contains the leakage characteristics. A two-dimensional simulation model is established and the characteristics of reflected signal are analyzed. The process of valve opening and closing is restored by dynamic mesh technology and an ideal detection effect was obtained. It is shown that the recognition accuracy of reflected wave of disturbance signal and end boundary are 7.659% and 0.121% respectively, and the location error of leakage point is 4.447%. The simulation results can achieve zero error accurate positioning. In addition, the influence of different factors is analyzed. The results show that the intensity of reflected signal is positively correlated with the transient characteristics of disturbance signal and the size of leakage. Surprisingly, the pipe operating pressure has little effect on the detection effect. Compared with the traditional leak detection method, this method has obvious advantages and great application value for improving the integrity management level of oil pipeline.
Key words: leak detection; pressure response; reflected signal; dynamic mesh
尹渊博1,2,袁辰1,2,杜荟敏3,崔兆雪4,刘翠伟1,2,李玉星1,2. 基于扰动响应的输油管道泄漏检测方法[J]. 振动与冲击, 2022, 41(23): 43-50.
YIN Yuanbo1,2, YUAN Chen1,2, DU Huimin3, CUI Zhaoxue4, LIU Cuiwei1,2, LI Yuxing1,2. Leakage detection method of oil pipeline based on disturbance response. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(23): 43-50.
[1]. Zaman D, Tiwari M K, Gupta A K, et al. A Review of Leakage Detection Strategies for Pressurised Pipeline in Steady-State[J]. Engineering Failure Analysis, 2019, 109:104264.
[2]. Lu H, Iseley T, Behbahani S, et al. Leakage detection techniques for oil and gas pipelines: State-of-the-art[J]. Tunnelling and Underground Space Technology, 2020, 98:103249.
[3]. Martins, J. S., Paulo. Assessment of the Performance of Acoustic and Mass Balance Methods for Leak Detection in Pipelines for Transporting Liquids[J]. Journal of Fluids Engineering, 2010, 132: 011401-011401.
[4]. 王洪超,李强,罗毅,等.基于相似度的管道泄漏负压波定位算法[J].油气储运,2021,40(06):679-684.
WANG H C, LI Q, LUO Y, et al. A similarity based locating method of negative pressure wave caused by pipeline leakage [J]. Oil & Gas Storage and Transportation, 2021,40(06):679-684.
[5]. Li J, Zheng Q, Qian Z H, et al. A novel location algorithm for pipeline leakage based on the attenuation of negative pressure wave[J]. Process Safety and Environmental Protection, 2019, 123:309-316.
[6]. Lu W, Wei L, Zhang L, et al. A novel noise reduction method applied in negative pressure wave for pipeline leakage localization[J]. Process Safety & Environmental Protection, 2016, 104:142-149.
[7]. Liu C, Cui Z, Fang L, et al. Leak localization approaches for gas pipelines using time and velocity differences of acoustic waves[J]. Engineering Failure Analysis, 2019, 103:1-8.
[8]. Hu Z, Tariq S, Zayed T. A comprehensive review of acoustic based leak localization method in pressurized pipelines[J]. Mechanical Systems and Signal Processing, 2021,161:107994.
[9]. Senthilkumar T, Jayas D S, White N. Detection of different stages of fungal infection in stored canola using near-infrared hyperspectral imaging[J]. Journal of Stored Products Research, 2015, 63:80-88.
[10]. 严密,袁晓骏,管文涌.露天站场天然气泄漏激光监测系统的设计及应用[J].油气储运,2021,40(06):685-691.
YAN M, YUAN X J, GUAN W Y. Design and application of laser gas leakage monitoring system at gas station [J]. Oil & Gas Storage and Transportation, 2021,40(06):685-691.
[11]. 史昆明.基于光纤水听器的输水管道渗漏识别方法研究[D].河南:郑州大学,2020.
SHI K M. Research on leakage identification method of water pipeline based on optical fiber hydrophone [D]. HeNan:
Zhengzhou University, 2020.
[12]. 武俊超.应用光纤光栅传感器监测管道泄漏的实验研究[J].中国石油和化工标准与质量,2020,40(24):47-49.
WU J C. Experimental study on the application of fiber grating sensor to monitor pipeline leakage [J]. China Petroleum and Chemical Standard and Quality, 2020,40(24):47-49.
[13]. Zhou M, Zhang J, Huang X, et al. Experimental study on distributed optical-fiber cable for high-pressure buried natural gas pipeline leakage monitoring [J]. Optical Fiber Technology, 53(C):102028-102028.
[14]. 杨清云,齐晖.成品油长输管道泄漏检测技术研究[J].化工管理,2018,(01):31-32.
YANG Q Y, QI H. Research on Leakage Detection Technology of Long-distance Product Oil Pipeline [J]. Chemical Enterprise Management, 2018,(01):31-32.
[15]. 王震.泄漏检测技术在油气管道建设中的运用[J].中国石油和化工标准与质量,2019,39(09):66-67.
WANG Z. Application of leakage detection technology in oil and gas pipeline construction [J]. China Petroleum and Chemical Standard and Quality, 2019,39(09):66-67.
[16]. 安杏杏,董宏丽,张勇,等.输油管道泄漏检测技术综述[J].吉林大学学报(信息科学版),2017,35(04):424-429.
AN X X, DONG H L, ZHANG Y, et al. Overview of oil pipeline leak detection technology [J]. Journal of Jilin University (Information Science Edition) 2017,35(04):424-429.
[17]. 郎宪明,李平,曹江涛,等.长输油气管道泄漏检测与定位技术研究进展[J].控制工程,2018,25(04):621-629.
LAN X M, LI P, CAO J T, et al. A survey on long distance gas and oil leak detection and location techniques [J]. Control Engineering of China, 2018,25(04):621-629.
[18]. Elaoud S, Hadj-TaEb L, Hadj-TaEb E. Leak detection of hydrogen–natural gas mixtures in pipes using the characteristics method of specified time intervals[J]. Journal of Loss Prevention in the Process Industries, 2010, 23(5):637-645.
[19]. 吴文林.基于支持向量机的海底管道泄漏识别及定位[D].辽宁:大连理工大学,2020.
WU W L. Leak identification and location of submarine pipeline based on support vector machine [D]. Liao Ning:Dalian University of Technology,2020.
[20]. Banjara N K, Sasmal S, Voggu S. Machine learning supported acoustic emission technique for leakage detection in pipelines - ScienceDirect[J]. International Journal of Pressure Vessels and Piping, 2020, 188:104243.
[21]. 温江涛,付磊,孙洁娣,等.压缩感知结合卷积网络的天然气管道泄漏孔径识别[J].振动与冲击,2020,39(21):17-23.
WEN J T, FU L, SUN J D, et al. Recognition of leakage aperture of natural gas pipeline based on compression sensing and convolution network [J]. Journal of Vibration and Shock, 2020,39(21):17-23.
[22]. He G, Liang Y, Li Y, et al. A method for simulating the entire leaking process and calculating the liquid leakage volume of a damaged pressurized pipeline[J]. Journal of Hazardous Materials, 2017, 332(JUN.15):19-32.
[23]. Brunone B. Transient Test-Based Technique for Leak Detection in Outfall Pipes. Journal of Water Resources Planning and Management, 1999, 125: 302-306.
[24]. Brunone B. Pipe system diagnosis and leak detection by unsteady-state tests. 2. Wavelet analysis. Advances in Water Resources, 2003, 26 107-116.
[25]. Brunone B, Ferrante M, Covas, et al. Detecting leaks in pressurised pipes by means of transients. Journal of Hydraulic Research, 2004, 42(1):105-109.
[26]. Meniconi S, Brunone B, Ferrante M, et al. Small Amplitude Sharp Pressure Waves to Diagnose Pipe Systems. Water Resources Management, 2011, 25(1):79-96.
[27]. Brunone B, Meniconi S, Capponi C, et al. Leak-Induced Pressure Decay During Transients in Viscoelastic Pipes. Preliminary Results. Procedia Engineering, 2015, 119:243-252.
[28]. Brunone B, Meniconi S, Capponi C. Numerical analysis of the transient pressure damping in a single polymeric pipe with a leak. Urban Water Journal, 2018:1-9.
[29]. Lee P J, JP Vítkovsky, Lambert M F, et al. Leak location using the pattern of the frequency response diagram in pipelines: a numerical study[J]. Journal of Sound and Vibration, 2005, 284(3-5):1051-1073.
[30]. 王通.基于激励响应的输油管道泄漏检测技术研究[D].天津:天津大学,2005.
WANG T. Technique research of leak detection in oil pipelines based on induced response [D]. Tian Jin:Tianjin University,
2005.
[31]. Colombo A F, Lee P, Karney B W. A selective literature review of transient-based leak detection methods[J]. Journal of Hydro-environment Research, 2009, 2(4):212-227.
[32]. GUO X L, YANG K L, LI F T, et al. Analysis of first transient pressure oscillation for leak detection in a single pipeline[J]. Journal of Hydrodynamics, Ser.B,2012,24(3):363-370.
[33]. 杨镇榜,徐宽.基于瞬变流的输油管道泄漏检测模拟[J].当代化工,2017,46(03):517-519+529.
YANG Z B, XU K. Simulation of leak detection of oil pipeline by transient flow method [J]. Contemporary Chemical Industry, 2017,46(03):517-519+529.