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A Modular Differential Dielectric Sensor for Use in Multiphase Separation, Process Measurement, and Control-Part Ⅰ: Analytical Modeling

机译:用于多相分离,过程测量和控制的模块化差分介电传感器-Ⅰ:分析模型

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摘要

Oil industry increasingly demands accurate and stable continuous measurement of the percent water in crude oil production streams (watercut) over the entire 0 to 100% range. High accuracy and stability are also required for surface measurement to support niche applications such as control of processes which remove trace amounts of oil and particu-lates from produced water prior to disposal. Differential dielectric sensors (DDS) have been developed by Chevron as independent tools connected with multiphase meters for process management and composition measurement. This paper is a two-part paper-the first part (current paper) deals with analytical modeling of the DDS (configured in a single ended mode) and the second part (accompanying paper) discusses the results of key experimental investigations obtained in a differential mode. The main objective of this paper is to develop appropriate mathematical models for the DDS which characterize the microwave attenuation and phase shift as functions of fluid properties, sensor geometry and operational conditions. Forward models based on the analysis of microwave propagation have been developed for sensors configured as circular waveguides. Results of this project will be useful for optimization and refinement of multiphase meters.
机译:石油工业日益要求在整个0至100%范围内准确,稳定地连续测量原油生产流(含水率)中的水百分比。表面测量还需要高精度和稳定性,以支持利基应用,例如控制处理过程,以便在处置之前从采出水中去除痕量的油和微粒。雪佛龙公司已将差分电介质传感器(DDS)开发为与多相仪表相连的独立工具,用于过程管理和成分测量。本文分为两部分,第一部分(当前论文)处理DDS的分析建模(以单端模式配置),第二部分(随附论文)讨论以差分方式获得的关键实验研究的结果模式。本文的主要目的是为DDS开发适当的数学模型,该模型描述微波衰减和相移与流体特性,传感器几何形状和操作条件有关的特征。已经针对配置为圆形波导的传感器开发了基于微波传播分析的正向模型。该项目的结果将对多相电表的优化和完善很有用。

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