• DocumentCode
    1562036
  • Title

    Research on long-distance monitoring of oil theft in buried pipeline

  • Author

    Wang, Qiang ; Zhou, Zekui ; Xiong, Ruichang ; Huang, Yihu ; Chen, Hanliang

  • Author_Institution
    Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    3814
  • Abstract
    To avoid drilling hole and stealing oil in pipeline, a method of monitoring man made damage in advance is offered based on low frequency vibration signal. The signals come from the complex activities such as welding, hammering and damaging metallic pipe. Spectral analysis and wavelet packet decomposition are used to extract feature information from gathered signal. The test distance between sensor and damage site is extended to 2.4 km, 7.4 km and even 13 km much longer than before. The results show that the method is effective when sensor spacing is 2.4 to 3.0 km, and instrumentation system can guarantee the security of oil pipeline and alarm in time.
  • Keywords
    computerised monitoring; eigenvalues and eigenfunctions; pipelines; security; spectral analysis; wavelet transforms; 13 km; 2.4 km; 7.4 km; alarm system; buried pipeline; eigen vectors; feature information extraction; hammering; instrumentation system; long distance monitoring; low frequency vibration signal; man made damage monitoring; oil pipeline security; oil stealing; oil theft; spectral analysis; wavelet packet decomposition; welding; Data mining; Drilling; Frequency; Monitoring; Petroleum; Pipelines; Spectral analysis; Wavelet analysis; Wavelet packets; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342201
  • Filename
    1342201