Fractal Scale Indication of Oil-Water Two Phase Flow Characteristics

DOI Web Site 25 References
  • 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

Search this article

Abstract

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.

Journal

References(25)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top