基于数据融合的油井多相流在线测量模型与实验研究

Tan Chaodong, Zhang Ziqin, Wu Haoda, Feng Gang, Z. Qian, Wei Fangfang, Tan Tingzhuang, Lian Xiaomin
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引用次数: 0

摘要

油井多相流分相含量的在线测量对油井生产动态分析具有重要意义。本文提出了一种基于差压装置和射频装置多传感器的油井多相流分相在线测量模型,并进行了实验。本文探讨了气液两相流的压力波动信号与两相流的流型、气相含量等参数之间的密切关系,分析了压差波动信号的特征值,建立了若干无量纲参数与气相含量率的关系模型;考虑温度、流体状态、盐度等因素对射频含水率测量的影响,建立了优化的支持向量机含水率数据融合测量模型。通过实验室多相流验证校准装置获得气液测量样品,并对差压法流量试验数据进行多元线性回归校正,得到测量精度较好的相关性。实验研究表明,本文建立的油体积多相流分相计量模型液体积误差小于5%,含水误差小于2%,气体积误差小于10%,提高了油井多相流测量的应用范围和测量精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model and Experimental Study of Online measurement of multiphase flow in oil wells based on data fusion
On-line measurement of oil well multi-phase flow split-phase content is of great significance to the analysis of oil well production dynamics. This paper proposes an online measurement model of oil-well multi-phase flow split-phase measurement based on multi-sensors of differential pressure device and radio frequency device, and conducts experiments. This paper explores the close relationship between the pressure fluctuation signal of the gas-liquid two-phase flow and the parameters of the two-phase flow, such as the flow pattern, gas phase content and other parameters, analyzes the characteristic values of the differential pressure fluctuation signal, and establishes a number of dimensionless parameters and gas phase The relationship model of the content rate; considering the influence of temperature, fluid state, salinity and other factors on the radio frequency moisture content measurement, an optimized support vector machine moisture content data fusion measurement model is established. A gas-liquid measurement sample is obtained through a laboratory multi-phase flow verification and calibration device, and multiple linear regression correction is performed on the differential pressure method flow test data to obtain a correlation with better measurement accuracy. Experimental research shows that the oil volume multi-phase flow split-phase metering model established in this paper has a liquid volume error of less than 5%, a water cut error of less than 2%, and a gas volume error of less than 10%, which improves the application range and measurement accuracy of oil well multi-phase flow measurement.
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