Model and Experimental Study of Online measurement of multiphase flow in oil wells based on data fusion

Abstract

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.