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A Novel Approach to Multiphase Flow Metering using PIV and Tracer Dilution

机译:一种使用PIV和示踪稀释的多相流量计量的新方法

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This paper introduces a prototype multiphase flow metering system, named "Uletech", for multiphase flow measurement. The "Uletech" Multiphase Flow Meter (UMFM) is based on the combination of particle recognition and the use of Laser Imaging Technology in the form of Particle Imaging Velocimetry (PIV). PIV uses tracer particles which follow the gas or liquid phase. The high resolution digital laser cameras identify/recognize all the different sizes of particle (gas, oil and water) in a multiphase flow. The cameras have sufficiently high resolutions (pixel size) to "see" the tracer particles. The prevailing conditions of high pressure and temperature of the flow regimes makes actual measurement a great challenge. The velocity differences between phases (hold up and slip) means unless the velocities of individual phases and concentrations are known, the true flow rate is practically impossible to obtain. The system comprised of two cameras, laser source, optical arrangement, computer data acquisition system, synchronizer and MATLAB based software. An algorithm that correlates the camera's view to the volume within the pipe has been developed through this research. The computer acquires image signals from the upstream and/or downstream cameras, and carries out the calculation of cross correlation between the two image frames so that the velocity of each pixel can be found. A Gas Liquid Chromatograph (GLC) provides the composition (concentration) of the gas and the liquid hydrocarbon (HC). The product of phase velocity and phase concentration provides the flow rate of the individual phase. This work provides theoretical analysis and experimental validations, and discusses the advantages of the system and its further development.
机译:本文介绍了一种原型多相流量计量系统,名为“Ultech”,用于多相流量测量。 “Ultech”多相流量计(UMFM)基于粒子识别和使用激光成像技术的组合,以粒子成像速度(PIV)的形式。 PIV使用跟踪物或液相的示踪剂颗粒。高分辨率数字激光照相机在多相流中识别/识别所有不同尺寸的颗粒(气体,油和水)。相机具有足够高的分辨率(像素尺寸),以“参见”示踪剂颗粒。流动制度的高压和温度的普遍条件使实际测量成为一个巨大的挑战。阶段(保持和滑动)之间的速度差异,除非是已知个体阶段和浓度的速度,否则真正的流速实际上是不可能获得的。该系统由两个相机,激光源,光学布置,计算机数据采集系统,同步器和基于MATLAB的软件组成。通过该研究开发了一种将相机视图与管道内的体积相关联的算法。计算机从上游和/或下游照相机获取图像信号,并执行两个图像帧之间的互相关的计算,从而可以找到每个像素的速度。气体液相色谱仪(GLC)提供气体和液体烃(HC)的组合物(浓度)。相速度和相浓度的产物提供单个相的流速。这项工作提供了理论分析和实验验证,并讨论了系统的优势及其进一步发展。

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