Abstract Multiphase flow measurement devices are significantly affected by the flow pattern, such as, e.g., slug flow, leading to large uncertainties. In this context, the slug flow pattern in horizontal pipes is investigated with the aim of finding a statistical characterization of the structures in space and time. For this, two different instances of slug flow are analyzed with a snapshot proper orthogonal decomposition and an additional mode coupling algorithm, which provides an energy-ranked mode basis of the underlying coherent structures. For the considered flows, the most energetic mode pair has been identified with the corresponding slugging structures. Thereby, the temporal and spatial information of these mode pairs enables a statistical characterization of the slugs. In this context, a length scale, a dominant frequency, and an energy representation of the slugging structures are obtained from this method.

中文翻译：

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水平段塞流相干结构的识别

摘要 多相流测量装置受流型影响很大，例如段塞流，导致很大的不确定性。在这种情况下，研究了水平管道中的段塞流模式，目的是找到结构在空间和时间上的统计特征。为此，使用快照适当正交分解和附加模式耦合算法分析了段塞流的两个不同实例，该算法提供了底层相干结构的能量排序模式基础。对于所考虑的流动，能量最高的模式对已被识别为相应的段塞结构。因此，这些模式对的时间和空间信息能够对段塞进行统计表征。在这种情况下，长度尺度，主频率，