Flow‐pattern identification in two‐phase pipelines is essential for energy reduction as well as for the selection of suitable operating conditions for effective flow transport. The flow pattern in conventional oil/gas pipelines exhibit different flow patterns due to the underlying complex interactions of transport processes at different time scales. Fractal analysis of complex time series has received significant attention in the past few years due to its ability to extract hidden useful information from underlying phenomena in the time‐series complexity. In this work, the potential of fractal analysis for flow‐pattern identification in oil/gas pipelines is investigated using voltage measurements. Experimental data from a downward‐inclined oil/gas pipeline system at different superficial velocities of gas were analyzed. Our results indicate that fractal parameters can be useful for flow‐pattern identification and to gain insights into the complex phenomena of multiphase systems.

中文翻译：

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基于分形分析的油气管道两相流模式识别

两相管道中的流型识别对于减少能耗以及选择合适的运行条件以进行有效的流传输至关重要。常规石油/天然气管道中的流型表现出不同的流型，这是由于在不同的时间尺度上运输过程潜在的复杂相互作用所致。复杂时间序列的分形分析在过去几年中受到了广泛的关注，因为它能够从时间序列复杂性的潜在现象中提取隐藏的有用信息。在这项工作中，使用电压测量研究了分形分析在油气管道中识别流型的潜力。分析了来自向下倾斜的油气管道系统在不同表观气速下的实验数据。