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Pattern Recognition Techniques for Horizontal and Vertically Upward Multiphase Flow Measurement

机译:水平和垂直向上多相流量测量的模式识别技术

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The oil and gas industry need for high performing and low cost multiphase meters is ever more justified given the rapid depletion of conventional oil reserves that has led oil companies to develop smaller and marginal fields and reservoirs in remote locations and deep offshore, thereby placing great demands for compact and more cost effective solutions of on-line continuous multiphase flow measurement for well testing, production monitoring, production optimisation, process control and automation. The pattern recognition approach for clamp-on multiphase measurement employed in this study provides one means for meeting this need. High speed caesium-137 radioisotope-based densitometers were installed vertically at the top of a 50.8mm and 101.6mm riser as well as horizontally at the riser base in the Cranfield University multiphase flow test facility. A comprehensive experimental campaign comprising flow conditions typical of operating conditions found in the Petroleum Industry was conducted. The application of a single gamma densitometer unit, in conjunction with pattern recognition techniques to determine both the phase volume fractions and velocities to yield the individual phase flow rates of horizontal and vertically upward multiphase flows was investigated. The pattern recognition systems were trained to map the temporal fluctuations in the multiphase mixture density with the individual phase flow rates using statistical features extracted from the gamma counts signals as their inputs. Initial results yielded individual phase flow rate predictions to within ±5% relative error for the two phase air-water flows and ±10% for three phase air-oil-water flows data.
机译:鉴于常规石油储备的迅速耗尽,导致石油公司在偏远地区和深海地区开发较小的边际油田和油藏,因此石油和天然气行业对高性能,低成本多相仪表的需求变得更加合理用于紧凑,更具成本效益的在线连续多相流量测量解决方案,用于试井,生产监控,生产优化,过程控制和自动化。本研究中使用的用于钳式多相测量的模式识别方法提供了一种满足此需求的方法。在Cranfield大学多相流测试设备中,高速铯137放射性同位素密度计垂直安装在50.8mm和101.6mm立管的顶部,水平安装在立管的底部。进行了全面的实验,包括石油工业中典型的工作条件下的流动条件。研究了单个伽马密度计单元与模式识别技术一起确定相体积分数和速度以产生水平和垂直向上多相流各个相流速的应用。使用从伽玛计数信号中提取的统计特征作为输入,对模式识别系统进行了训练,以绘制多相混合物密度随单个相流速的时间波动。初步结果得出两相空气-水流量的单个相流速预测相对误差在±5%以内,而三相空气-油-水流量数据的相对误差在±10%以内。

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