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Scaling analysis of phase fluctuations in experimental three-phase flows

Author

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  • Gao, Zhong-Ke
  • Jin, Ning-De

Abstract

The characterization of complex patterns arising from three-phase (e.g., oil–gas–water) flows is an important problem with significant engineering and industrial applications. Based solely on measured conductance fluctuation signals from experimental three-phase flows, we propose a method to characterize and distinguish three commonly observed flow patterns. Using the phase characterization method, we first calculate the instantaneous phase from the signals. Then, through performing a scaling analysis, detrended fluctuation analysis (DFA), we extract scaling behaviors associated with the phase fluctuations and find that the DFA scaling exponent is sensitive to the transition among different flow patterns, which can be used to characterize nonlinear dynamics of the three-phase flow. From a novel perspective, we investigate the three-phase flow in terms of phase characterization and scaling analysis. The results indicate that our method can provide new insights into the exploration of complex mechanism in flow pattern transition. The effectiveness of the method is demonstrated and its broader applicability is articulated.

Suggested Citation

  • Gao, Zhong-Ke & Jin, Ning-De, 2011. "Scaling analysis of phase fluctuations in experimental three-phase flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3541-3550.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:20:p:3541-3550
    DOI: 10.1016/j.physa.2011.04.024
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    Cited by:

    1. Xu, Mengjia & Shang, Pengjian & Lin, Aijing, 2016. "Cross-correlation analysis of stock markets using EMD and EEMD," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 82-90.
    2. Zhang, Ningning & Lin, Aijing & Shang, Pengjian, 2017. "Multidimensional k-nearest neighbor model based on EEMD for financial time series forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 477(C), pages 161-173.

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