Heavy Oil Viscosity Modeling with Friction Theory

被引:18
|
作者
Kumar, Ashutosh [1 ]
Henni, Amr [1 ]
Shirif, Ezeddin [1 ]
机构
[1] Univ Regina, Regina, SK S4S 0A2, Canada
关键词
CRUDE-OIL; NATURAL-GAS; PREDICTION; DENSITY; SYSTEMS;
D O I
10.1021/ef101013m
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A new tuning method is proposed for the cubic equation-of-state-based friction theory viscosity model, which improves the viscosity prediction of heavy oils. With the existing tuning method, the error in viscosity prediction increases with increasing viscosity. Particularly, at pressures below the saturation pressure, the error keeps increasing as the pressure is farther away from the saturation pressure. With the proposed tuning method, whereas the single-phase error is almost the same, the two-phase error is approximately 1/3 the value of the error from the existing tuning method. Most importantly, the proposed tuning method successfully uses experimental viscosity data below the saturation pressure to reduce prediction errors.
引用
收藏
页码:493 / 498
页数:6
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