Online metering model and experiment for gas-liquid phase in oil production well based on nozzle pressure difference

Yong Xiang; Xinming Zhao; Jianying Zhu; Qian Zhang; Jianwei Wang; Chaodong Tan; Fangfang Wei; Chuanshuai Zuo

doi:10.1117/12.2617870

11 November 2021 Online metering model and experiment for gas-liquid phase in oil production well based on nozzle pressure difference

Yong Xiang, Xinming Zhao, Jianying Zhu, Qian Zhang, Jianwei Wang, Chaodong Tan, Fangfang Wei, Chuanshuai Zuo

Author Affiliations +

Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760J (2021) https://doi.org/10.1117/12.2617870
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China

Abstract

On-line measurement of multiphase flow holdup in oil well is important to production performance analysis and measure optimization. In this paper, aiming at the problem of large measurement error in the process of gas-liquid two-phase measurement, an on-line metering model of gas-liquid flow based on nozzle differential pressure is proposed, and experimental research on two-phase flow measurement is carried out. The relationship between differential pressure fluctuation and parameters of gas-liquid phase flow is explored by testing experiments. The characteristic value of differential pressure fluctuation signal is analyzed, and relationship models between some dimensionless parameters and gas rate are established. According to the experimental data, the correlation between the differential pressure and flow rate of each phase is obtained by multiple regression. Experimental study shows that measurement error of gas rate is less than 10% and error of liquid content is less than 8% based on the regression of experimental test samples, which improves the application scope and accuracy of wellhead production measurement, and provides a new solution for the measurement of multiphase flow in high gas liquid ratio wells.

Citation Download Citation

Yong Xiang, Xinming Zhao, Jianying Zhu, Qian Zhang, Jianwei Wang, Chaodong Tan, Fangfang Wei, and Chuanshuai Zuo "Online metering model and experiment for gas-liquid phase in oil production well based on nozzle pressure difference", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760J (11 November 2021); https://doi.org/10.1117/12.2617870

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KEYWORDS

Liquids

Francium

Instrument modeling

Data modeling

Error analysis

Temperature metrology

Microfluidics

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