Upward interfacial friction factor in gas and high-viscosity liquid flows in vertical pipes

被引:4
|
作者
Ribeiro, Joseph Xavier Francisco [1 ,2 ]
Liao, Ruiquan [1 ,2 ]
Aliyu, Aliyu Musa [3 ]
Liu, Zilong [1 ,2 ]
机构
[1] Yangtze Univ, Petr Engn Coll, Wuhan, Hubei, Peoples R China
[2] China Natl Petr Corp, Lab Multiphase Flow, Gas Lift Innovat Ctr, Wuhan, Hubei, Peoples R China
[3] Univ Nottingham, Fac Engn, Nottingham, England
关键词
Artificial intelligence; Interfacial phenomena; Liquid holdup; Multiphase flow; Pipe flow; Two-phase flow; ARTIFICIAL NEURAL-NETWORK; OIL-WATER; 2-PHASE; PRESSURE-DROP; VOID FRACTION; ANNULAR-FLOW; LEVENBERG-MARQUARDT; HEAT-TRANSFER; SHEAR-STRESS; GAMMA-RAY; PREDICTION;
D O I
10.1080/00986445.2019.1647180
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this study, experiments were carried out in a vertical 60-mm internal diameter pipe with air and oil (viscosities 100-330 mPa s) constituting the gas and liquid phases. Superficial air and oil velocity ranges used were 9.81-59.06 m/s and 0.024-0.165 m/s, respectively. Visual observations and change in slope of pressure drop- plot were used to identify flow pattern transition to annular flow. Using the experimental data as well as other reported data, a new correlation to predict interfacial friction factor in upward gas-viscous liquid annular flow regime was developed. Compared to the performance of 16 existing correlations using higher viscosity liquids, that of the new correlation was better. The performance of another correlation we derived for predictions at both low and higher low viscous showed good agreement with measurements. In addition, a neural network model to predict the interfacial friction factor involving both low and high viscous liquids was developed and it excellently described the experimental data.
引用
收藏
页码:1234 / 1263
页数:30
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