Numerical simulation of pressure loss of sliding sleeve in typical fracturing

Fayong Yuan; Hao Su; Ruifeng Guo; Zhilong Guo; Zhengjun Dong; Yongxiang Tang

doi:10.1117/12.2675115

25 May 2023 Numerical simulation of pressure loss of sliding sleeve in typical fracturing

Fayong Yuan, Hao Su, Ruifeng Guo, Zhilong Guo, Zhengjun Dong, Yongxiang Tang

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126363B (2023) https://doi.org/10.1117/12.2675115
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Wellbore pressure field prediction plays an important role in the safe production of gas well. Fracturing sliding sleeve is a part of typical downhole operation tools in wellbore, and the pressure loss of fluid through fracturing sliding sleeve is an important parameter affecting the prediction of the entire wellbore pressure field. In order to study the pressure loss law of typical fracturing sliding sleeve, a simulation model of typical fracturing sliding sleeve flow was established in this paper. In order to improve the accuracy of calculating pressure loss in sliding sleeve, the Eulerian multiphase flow model was selected. The effects of different displacement, liquid density and ball seat diameter on the pressure loss of fracturing sleeve were studied. The results show that with the increase of displacement and liquid density, the pressure loss of the fluid through the sliding sleeve increases. However, with the increase of the ball seat diameter of the fracturing sleeve, it is the opposite, among them, the displacement and the ball seat diameter bigger influence on the pressure loss. Finally, based on the simulation results, the empirical formula of flow pressure loss of acid fluid, fracturing fluid and sand-containing fluid in fracturing sliding sleeve was fitted, and the overall average error was less than 5.71%, which can be used for pressure field prediction and calculation. The research results can provide guidance for the evaluation and diagnosis of wellbore pressure field.

Citation Download Citation

Fayong Yuan, Hao Su, Ruifeng Guo, Zhilong Guo, Zhengjun Dong, and Yongxiang Tang "Numerical simulation of pressure loss of sliding sleeve in typical fracturing", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126363B (25 May 2023); https://doi.org/10.1117/12.2675115

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KEYWORDS

Liquids

Solids

Mathematical modeling

Particles

Clouds

3D modeling

Turbulence

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