管道运输
多相流
管道(软件)
临界电离速度
粒子(生态学)
油页岩
沉积(地质)
岩土工程
石油工程
阻力
流量(数学)
地质学
湍流
机械
聚类分析
磁层粒子运动
流速
质点速度
CFD-DEM公司
环境科学
颗粒沉积
粒径
计算流体力学
油砂
粘度
工程类
两相流
流变学
离散元法
渗透(认知心理学)
临界转速
计算机模拟
粒状材料
作者
Dayong Hou,Junmin Xu,Ruhao Zhao,Fuyong Huo,Feng Lu,Xiaoming Luo
摘要
Abstract Sand deposition in shale oil gathering pipelines poses risks including flow area reduction and accelerated internal corrosion. Precise prediction of the critical velocity is essential to ensure pipeline system integrity. Utilizing a 15‐m long experimental pipeline with 50‐mm internal diameter, we conducted multiphase sand transport experiments under varying gas–liquid velocities, sand particle sizes, concentrations, and pipe inclinations, establishing quantitative correlations between multiphase sand transport patterns and critical velocity thresholds. Six characteristic sand transport regimes were identified: suspended, heterogeneous suspension, moving bed, moving dunes, stationary dunes, and stationary bed. Particle dynamics analysis revealed a dual‐mechanism transition: turbulent fluctuations sustain particle suspension, while liquid drag provides translational momentum. Sand particle size, concentration, and pipe inclination collectively influence sand‐carrying capacity by modifying particle dynamics and multiphase flow characteristics, all exhibiting positive correlations with critical velocity, whereas liquid viscosity shows a negative correlation. The proposed model integrates particle clustering dynamics and inclination modifications into the Archibong framework. When coupled with the Xiao model it achieves 8.14% prediction error. This study established the sand transport characteristics shale oil gathering pipelines and the prediction method of critical velocity, which provided theoretical basis and methodological support for the optimal operation of the pipeline system and sand control.
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