Abstract The occurrence of the slug flow pattern is frequently detected in the petroleum industry. Theoretical and experimental works on the complex behaviour of this flow pattern are abundantly found, and their aim is to advance the state-of-the-technique on the behaviour of this kind of flow. The goal of the present work is to provide experimental data collected in five probing stations with resistive sensors mounted on a horizontal air-water slug flow in a 25.8-mm ID pipe. A signal processing technique provides the translational velocities, frequencies and void fractions that arise from different gas and liquid volumetric flow rates. Based on the obtained results, the effects of the liquid and gas superficial velocities were correlated with the probability density functions (PDFs) of the parameters variations observed in the slug flow development along the pipe. A quantitative criteria based on maximum likelihood estimates is used to determine the Weibull distribution for the translational velocity and the lognormal distribution type for the slug frequency distribution type.

中文翻译：

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水平液气段塞流流动演化的统计特征

摘要 段塞流型在石油工业中经常被发现。关于这种流动模式的复杂行为的理论和实验工作有很多，他们的目标是推进这种流动行为的最新技术。目前工作的目标是提供在五个探测站收集的实验数据，其中电阻传感器安装在 25.8 毫米 ID 管道中的水平空气-水段塞流上。信号处理技术提供由不同气体和液体体积流速产生的平移速度、频率和空隙率。根据得到的结果，液体和气体表面速度的影响与沿管道的段塞流发展中观察到的参数变化的概率密度函数 (PDF) 相关。基于最大似然估计的定量标准用于确定平移速度的威布尔分布和段塞频率分布类型的对数正态分布类型。