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A new method of leak location for the natural gas pipeline based on wavelet analysis

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  • Yang, Zhao
  • Xiong, Zhuang
  • Shao, Min

Abstract

This paper analyzes the properties of wavelet transform and its potential application in detecting the leakage location of gas pipeline. An entity-part method, which is proposed for the accurate leaking point, has been proved valid in the stimulation experiment. In addition, method of Romberg and Dichotomy Searching are also adopted for the computational analysis of leaking point. In detail, the effect of gas velocity is taken into consideration in the location formula and we propose to consider the average velocities of two parts caused by the leaking point, respectively. Finally, we test these three methods in a real gas pipeline experiment and the result shows the improvement to some extent in contrast to the traditional approach.

Suggested Citation

  • Yang, Zhao & Xiong, Zhuang & Shao, Min, 2010. "A new method of leak location for the natural gas pipeline based on wavelet analysis," Energy, Elsevier, vol. 35(9), pages 3814-3820.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:9:p:3814-3820
    DOI: 10.1016/j.energy.2010.05.034
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    Citations

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    Cited by:

    1. Burgherr, Peter & Eckle, Petrissa & Hirschberg, Stefan, 2012. "Comparative assessment of severe accident risks in the coal, oil and natural gas chains," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 97-103.
    2. Liu, Cuiwei & Wang, Yazhen & Li, Xinhong & Li, Yuxing & Khan, Faisal & Cai, Baoping, 2021. "Quantitative assessment of leakage orifices within gas pipelines using a Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    3. Xu, Ziqiang & Li, Cheng & Mu, Lianbo & Wang, Suilin & Lu, Junhui & Lan, Yuncheng, 2024. "Leakage detection method of underground heating pipeline based on improved wavelet threshold function," Energy, Elsevier, vol. 295(C).
    4. Scholtens, Bert & Boersen, Arieke, 2011. "Stocks and energy shocks: The impact of energy accidents on stock market value," Energy, Elsevier, vol. 36(3), pages 1698-1702.
    5. He, Guoxi & Li, Yansong & Huang, Yuanjie & Sun, Liying & Liao, Kexi, 2019. "A framework of smart pipeline system and its application on multiproduct pipeline leakage handling," Energy, Elsevier, vol. 188(C).
    6. Mohsin, R. & Majid, Z.A. & Yusof, M.Z., 2014. "Safety distance between underground natural gas and water pipeline facilities," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 53-60.

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