Fractal Scale Indication of Oil-Water Two Phase Flow Characteristics

  • ZONG Yanbo
    School of Electrical Engineering and Automation, Tianjin University
  • JIN Ningde
    School of Electrical Engineering and Automation, Tianjin University School of Computing and Engineering, Huddersfield University
  • ZHAO Xin
    School of Electrical Engineering and Automation, Tianjin University
  • YIN Zuoting
    School of Electrical Engineering and Automation, Tianjin University
  • ZHANG Wei
    Institute of Oil Production and Technology, North China Oilfield

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抄録

In order to investigate the applicability of fractal scale conception in characterization of oil-water two phase flow, six algorithms of fractal scale exponent are evaluated by the Weierestrass function time series with noise. The result shows that Detrended Fluctuation Analysis method is strong robustness. Based on the algorithm evaluated, we acquire 80 groups of conductance fluctuating signals from the experiment of oil-water two phase flow in vertical upward pipe, which diameter is 12.5cm. By extracting the fractal scale exponent at different flow conditions, we find that the extracted fractal scales are correlated with the flow pattern evolvement. It can be concluded that the fractal scale exponent from conductance fluctuating signals can reflect the oil-water two phase flow characteristics.

収録刊行物

  • 実験力学

    実験力学 8 (Special_Issue), s19-s24, 2008

    日本実験力学会

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