Multi-phase flow measurements are very common in industrial applications especially of the oil and gas industry. In order to study such pattern one can apply many different techniques such as capacitive probes, X-ray and gamma ray tomography, ultrasound transducers, wire-mesh sensors and high speed videometry. This article describes experimental study of water-air slug in horizontal pipes through non-intrusive image analysis technique. A flow test section comprising of a pipe of 26 mm internal diameter and 9 m long was employed to generate slug flows under controlled conditions. The behavior of the flow was studied using gas and liquid velocities between 0.3 m/s and 2 m/s with 6000 images (500x232 pixels) for each case. The algorithm comprises the automatic analysis of a sequence of frames in MatLab to measure flow characteristics such as Taylor bubble velocity and frequency applying morphological treatment. Finally, the parameters measured through the high speed videometry were compared with theoretical predictions showing that such method can be used to validate other types of sensors in experimental conditions.
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机译：多相流量测量在工业应用中非常普遍，尤其是在石油和天然气工业中。为了研究这种模式，可以应用许多不同的技术，例如电容式探头，X射线和伽马射线断层扫描，超声换能器，金属丝网传感器和高速视频测量。本文介绍了通过非侵入式图像分析技术对水平管中水-气塞的实验研究。流量测试部分由内径为26 mm，长为9 m的管道组成，用于在受控条件下产生团状流。在每种情况下，使用0.3 m / s和2 m / s之间的气体和液体速度研究流的行为，并具有6000张图像（500x232像素）。该算法包括对MatLab中的一系列帧进行自动分析，以测量流动特征，例如应用形态学处理的泰勒气泡速度和频率。最后，将通过高速测光法测得的参数与理论预测进行了比较，结果表明该方法可用于验证实验条件下的其他类型的传感器。
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