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Time Irreversibility from Time Series for Analyzing Oil-in-Water Flow Transition

Author

Listed:
  • Du Meng
  • Chen Xiao-yan
  • Liu Hong-ying
  • He Qing
  • Bai Rui-xiang
  • Liu Weixin
  • Li Zewei

Abstract

We first experimentally collect conductance fluctuation signals of oil-in-water two-phase flow in a vertical pipe. Then we detect the flow pattern asymmetry character from the collected signals with multidimensional time irreversibility and multiscale time irreversibility index. Moreover, we propose a novel criterion, that is, AMSI (average of multiscale time irreversibility), to quantitatively investigate the oil-in-water two-phase flow pattern dynamics. The results show that AMSI is sensitive to the flow pattern evolution that can be used to predict the flow pattern transition and bubble coalescence.

Suggested Citation

  • Du Meng & Chen Xiao-yan & Liu Hong-ying & He Qing & Bai Rui-xiang & Liu Weixin & Li Zewei, 2016. "Time Irreversibility from Time Series for Analyzing Oil-in-Water Flow Transition," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, March.
    • Handle: RePEc:hin:jnlmpe:2879524
    DOI: 10.1155/2016/2879524
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