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Statistical Analysis of Effect of Sensor Degradation and Heat Transfer Modeling on Multiphase Flowrate Estimates from a Virtual Flow Meter

机译:传感器劣化与传热建模对虚拟流量计多相流量估计影响的统计分析

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Accurate flowrate measurements in petroleum production systems are important for optimization,fiscal metering,and production allocation. Sometimes,Virtual Flow Meters(VFMs)are used for this purpose instead of physical meters to reduce cost. These systems estimate the flowrates using a computational model that represents accurately the production system of interest. Since VFM systems mostly rely on pressure and temperature measurements,it is important to understand how accuracy and degradation of sensors influence the VFM flowrate estimates. In this work,a VFM system for a subsea oil well was created using a transient multiphase model built in a commercial software and controlled from an external computational routine. A statistical analysis of VFM simulation results was performed to quantify the effect of pressure sensors degradation on the VFM flowrate estimates. In addition,the effect of temperature matching and a segmented approach to represent the well heat transfer were evaluated. The analysis showed that the sensor degradation effect should be considered in VFM systems carefully,especially if a high estimation accuracy is required. Measurement drift was found to be the most critical factor of the sensor degradation but high measurement noise can also cause considerable errors of the flowrate estimates. In addition,it was found that a complex representation of the wellbore heat transfer is not required to obtain accurate flowrate predictions and simplified models can be used instead.
机译:石油生产系统中精确流量测量对于优化,财政计量和生产分配很重要。有时,虚拟流量计(VFMS)用于此目的而不是物理仪表以降低成本。这些系统使用计算模型来估计流量,该计算模型代表其感兴趣的生产系统。由于VFM系统主要依赖于压力和温度测量,因此了解传感器的准确性和降低影响VFM流量估计非常重要。在这项工作中,使用商业软件中内置的瞬态多相模型并由外部计算例程控制来创建用于海底油井的VFM系统。进行VFM仿真结果的统计分析,以量化压力传感器劣化对VFM流量估计的影响。此外,评估了温度匹配和分段方法代表孔热传递的影响。分析表明,应仔细地在VFM系统中考虑传感器劣化效果,特别是如果需要高估计精度。测量漂移被发现是传感器劣化的最关键因素,但高测量噪声也可能导致流量估计的相当大的误差。另外,发现不需要对井筒传热的复杂表示来获得精确的流量预测,并且可以代替简化模型。

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