油水两相流水包油流型多尺度排列熵分析

Multiscale permutation entropy analysis of oil-in-water type two-phase flow pattern

采用多尺度排列熵算法研究了垂直油水两相流水包油流型的多尺度动力学特性.首先,在内径为20 mm的垂直管道内采集了油水两相流水包油流型电导传感器波动信号,然后计算了不同流动工况下电导波动信号的多尺度排列熵值.研究发现多尺度排列熵率与均值可定量刻画水包油流型动力学复杂性;此外,提出了通过增量时间序列累积量与多尺度排列熵率联合分布识别三种不同水包油流型的新途径.

We investigate the dynamic characteristics of vertical upward water-dominant oil-water two-phase flow by multiscale permutation entropy algorithm. We first measure the two-phase flow conductance fluctuation signals in a 20 mm inner-diameter pipe. Then we cal- culate the multiscale permutation entropies for different water-dominant flow patterns. The results indicate that multiscale permutation entropy rate and average of mutiscale permutation entropy can be used as quantitative parameters for measuring complexity of water dominant oil-water two-phase flow. In addition, we propose a new approach to identify different water-dominant flow patterns by using the joint distribution of multiscale permutation entropy rate and cumulant of increment series.