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Horizontal oil-water two-phase flow measurement with information fusion of conductance ring sensor and cone meter

机译:电导环传感器与锥度计信息融合的水平油水两相流量测量

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Oil-water two-phase flow is a commonly seen flow phenomenon in petroleum and chemical industries. Online measurement of oil-water two-phase flow is a difficult problem due to the rheological complexity of its flow structure. This work presents a method of solving this measurement problem by combining a conductance-ring sensor and a cone meter to measure phase fraction, overall and individual flow rate of oil-water two-phase flow. This proposed method is based on the idea of information fusion between the conductance-ring sensor and the cone meter. Experiments were conducted on a multiphase flow loop, with the flow rate of water and oil ranges 3.9 m~3/h-10.2 m~3/h and 0.7 m~3/h-7.3 m~3/h, respectively. Phase fraction estimations with different correlations of the conductance-ring sensor calibrated under different typical phase distribution are fused at data level to deliver an estimation on volumetric phase fraction of water with an average of relative error ε_(ave) = 1.7%. Flow pattern is found to affect the discharge coefficient C_d of the cone meter and therefore is identified with a physically meaningful feature obtained by fusing features from the conductance-ring sensor and the cone meter. Based on the accurate flow pattern identification, the overall flow rate of oil-water two-phase flow is estimated with an associate error ε_(ave) = 1.6%, and the error of both the individual flow rate of water phase and oil phase is ε_(ave) = 2.8%. This work provides a solution of how to combine the information from heterogeneous sensors for two-phase flow measurement, and can be extended to gas-liquid two-phase flow and also in vertical flows.
机译:油水两相流是石油和化学工业中常见的流现象。油水两相流的在线测量由于其流动结构的流变复杂性而成为一个难题。这项工作提出了一种通过结合电导环传感器和锥形流量计来测量油水两相流的相分率,总体和单独流速的解决该测量问题的方法。提出的方法基于电导环传感器和圆锥仪之间信息融合的思想。在多相流回路上进行了实验,水和油的流速分别为3.9 m〜3 / h-10.2 m〜3 / h和0.7 m〜3 / h-7.3 m〜3 / h。在数据水平上融合在不同典型相位分布下校准的具有电导环传感器的不同相关性的相位分数估计,以对水的体积相位分数进行估计,平均相对误差ε_(ave)= 1.7%。发现流动模式会影响锥形流量计的排放系数C_d,因此可以通过融合来自电导环传感器和锥形流量计的特征获得的具有物理意义的特征进行识别。基于准确的流型识别,估计油水两相流的总流速,相关误差ε_(ave)= 1.6%,水相和油相各自流速的误差均为ε_(ave)= 2.8%。这项工作为如何组合来自异构传感器的信息进行两相流量测量提供了一种解决方案,并且可以扩展到气液两相流量以及垂直流中。

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