Experimental study on a de-noising system for gas and oil pipelines based on an acoustic leak detection and location method

被引:45
|
作者
Liu, Cuiwei [1 ]
Li, Yuxing [1 ]
Fang, Liping [2 ]
Xu, Minghai [1 ]
机构
[1] China Univ Petr East China, Coll Pipeline & Civil Engn, Qingdao 266580, Peoples R China
[2] Qinzhou Univ, Coll Chem & Chem Engn, Qinzhou 535099, Peoples R China
基金
中国博士后科学基金;
关键词
Leak detection and location; Oil and gas pipelines; De-noising system; Experiments; Location error; ALGORITHM; TIME;
D O I
10.1016/j.ijpvp.2017.02.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To protect the pipelines from significant danger, the acoustic leak detection and location method for oil and gas pipelines is studied, and a de-noising system is established to extract leakage characteristics from signals. A test loop for gas and oil is established to carry out experiments. First, according to the measured signals, fitting leakage signals are obtained, and then, the objective signals are constructed by adding noises to the fitting signals. Based on the proposed evaluation indexes, the filtering methods are then applied to process the constructed signals and the de-noising system is established. The established leakage extraction system is validated and then applied to process signals measured in gas pipelines that include a straight pipe, elbow pipe and reducing pipe. The leak detection and location is carried out effectively. Finally, the system is applied to process signals measured in water pipelines. The results demonstrate that the proposed de-noising system is effective at extracting leakage signals from measured signals and that the proposed leak detection and location method has a higher detection sensitivity and localization accuracy. For a pipeline with an inner diameter of 42 mm, the smallest leakage orifice that can be detected is 0.1 mm for gas and water and the largest location error is 0.874% for gas and 0.176% for water. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:20 / 34
页数:15
相关论文
共 50 条
  • [21] A novel image de-noising method based on spherical coordinates system
    Zhang, Degan
    Kang, Xuejing
    Wang, Jinghui
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2012,
  • [22] Leak Detection and Location in Transient Flows. Applications in Oil and Gas Pipelines.
    Gally, M.
    Rieutord, E.
    RFM, Revue Francaise de Mecanique, 1986, (02): : 61 - 65
  • [23] Method for identifying arrival time of acoustic emission signal based on de-noising processing
    Xian, Xiao-Dong
    Yuan, Shuang
    Ji, Song-Lin
    Meitan Xuebao/Journal of the China Coal Society, 2015, 40 : 100 - 106
  • [24] De-noising Method for Wayside Train Bearings Acoustic Signal based on Doppler Shift
    Hu, Fei
    Shen, Changqing
    Kong, Fanrang
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 504 - 509
  • [25] A method based on permutation entropy for instantaneous voltage disturbances signal de-noising and location
    Zhang, Yuhui
    Wu, Jiaming
    Gong, Yu
    ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, 2015, : 245 - 249
  • [26] De-noising method for fault acoustic emission signals based on the EMD and correlation coefficient
    Liu, Dongying
    Deng, Aidong
    Liu, Zhenyuan
    Li, Jing
    Zhang, Rui
    Huang, Hongwei
    Zhendong yu Chongji/Journal of Vibration and Shock, 2017, 36 (19): : 71 - 77
  • [27] Study on the GPS Data De-noising Method Based on Wavelet Analysis
    Yuan, Debao
    Cui, Ximin
    Wang, Guo
    Jin, Jingjing
    Fan, Dongli
    Jia, Xiaogang
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT II, 2012, 369 : 390 - 399
  • [28] Research on Ultrasonic Detection of Seabed Oil Pipeline Based on Wavelet Packet De-noising
    Qi, Shu-fen
    Zhao, Chong
    Yang, Yong
    2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8, 2009, : 2035 - 2038
  • [29] Volumetric flow and pressure gradient-based leak detection system for oil and gas pipelines
    Riaz, Mukarram
    Ahmad, Ishtiaq
    Khan, Muhammad Nasir
    Mond, Muhammad Asim
    Mir, Amna
    INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY, 2020, 25 (03) : 340 - 356
  • [30] Endpoint Detection and De-noising Method Based on Multi-resolution Spectrogram
    Zhang, Jing
    INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT II, 2016, 9772 : 384 - 393