This study aimed to obtain the production profiles of oil-in-water flow under low flow rate and high water-cut conditions in oil wells. A combination production profile logging composed of an arc-type conductance sensor (ATCS) and a cross-correlation flow meter (CFM) with a center body is proposed and experimentally evaluated. The ATCS is designed for water holdup measurement, whereas the CFM with a center body is proposed to obtain the mixture velocity. Then, a drift-flux model based on flow patterns is established to predict the individual-phase superficial velocity of oil-in-water flows. Results show that the ATCS possesses high resolution in water holdup measurement and that flow pattern information can be deduced from its signal through nonlinear time series analysis. The CFM can enhance the correlation of upstream and downstream signals and simplify the relationship between the cross-correlation velocity and mixture velocity. On the basis of the drift-flux model, individual-phase superficial velocities can be predicted with high accuracy for different flow patterns.

中文翻译：

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低流量高含水条件下水包油流生产测井方法

本研究旨在获得油井中低流量高含水条件下水包油流的生产剖面。提出了由弧型电导传感器（ATCS）和中心相关的互相关流量计（CFM）组成的组合生产曲线测井，并进行了实验评估。ATCS设计用于持水率测量，而建议使用带有中心主体的CFM来获得混合速度。然后，建立了基于流型的漂移流模型来预测水包油流的单相表观速度。结果表明，ATCS在持水率测量中具有较高的分辨率，可以通过非线性时间序列分析从其信号中推断出流型信息。CFM可以增强上游和下游信号的相关性，并简化互相关速度和混合速度之间的关系。在漂移通量模型的基础上，可以针对不同的流型高精度地预测各个相的表面速度。