低流速高含水条件下油水两相流产出剖面测井方法*

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摘要为了获得低流速高含水条件下油井内油水两相流产出剖面，本文提出了一种由场聚焦弧形对壁式电导传感器(ATCS)与插入式相关流量计(CFM)构成的组合测井方法，并通过实验对其测量特性进行了验证。采用场聚焦弧形对壁式电导传感器测量分相持率，插入式相关流量计实现混合流速的测量，通过建立基于流型的漂移模型对分相表观速度进行了预测。研究结果表明，场聚焦弧形对壁式电导传感器对持水率有很好的分辨率，且基于传感器信号及非线性时间序列分析方法可以实现流型的准确识别。插入式相关流量计由于插入体的流型调控作用，增强了上下游信号的相关性，简化了相关速度与混合流速的关系。基于漂移模型可实现不同流型分相表观速度的高精度预测。

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关键词：油水两相流低流速高含水产出剖面电导传感器插入式相关流量计测量模型

Abstract： This study aimed to obtain the production profiles of oil-in-water fl ow 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.

Key words： oil-in-water flows low flow rate high water-cut arc-type conductance sensor cross-correlation flow meter measurement model

收稿日期: 2019-01-25;

基金资助:

本研究项目由中国国家自然科学基金（编号：51527805, 11572220）资助。

通讯作者: 金宁德（Email: ndjin@tju.edu.cn） E-mail: ndjin@tju.edu.cn

作者简介: 王大阳，天津大学博士研究生。2012 年于东北大学获得学士学位，2014 年于东北大学获得硕士学位。目前主要从事多相流测量，传感系统设计及信号处理等方面的研究。Email:wangdayang@tju.edu.cn。

引用本文:

. 低流速高含水条件下油水两相流产出剖面测井方法*[J]. 应用地球物理, 2019, 16(3): 303-314.

. Methodology for production logging in oil-inwater fl ows under low fl ow rate and high water-cut conditions*[J]. APPLIED GEOPHYSICS, 2019, 16(3): 303-314.