Numerical simulation of allocator annular flow field

被引:0
作者
Zhang, Yi [1 ]
Wang, Jiexiang [1 ]
Gao, Li [2 ]
Chu, Guoyu [1 ]
机构
[1] China Univ Petr East China, Sch Petr Engn, Qingdao, Peoples R China
[2] Qingdao Tech Coll, Coll Biol & Chem Engn, Qingdao, Peoples R China
来源
3RD INTERNATIONAL CONFERENCE ON FLUID MECHANICS AND INDUSTRIAL APPLICATIONS | 2019年 / 1300卷
关键词
D O I
10.1088/1742-6596/1300/1/012086
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The allocator is the key tool for the oilfield to realize the multi-layered polymer flooding. The most common allocator is the annular pressure-reducing groove structure. The selection of reasonable structural characteristics parameters has always been a difficult problem in the design of pressure reducing structure. The structural optimization design involves many parameters, and the numerical simulation method can effectively reduce the dependence on the experiment and the number of experiments. In this paper, the parametric modelling of the annular pressure-reducing groove structure is carried out, and the numerical simulation model of the power law fluid flowing in the annular channel is established. The turbulence calculation model is used to numerically calculate the flow field. The velocity, pressure, turbulent kinetic energy and strain rate contours are obtained and analysed. The numerical calculation results of the annulus flow field with four different structural characteristic parameters are compared and the optimal structural parameters are obtained, which can provide valuable reference for the design and improvement of the annular pressure-reducing groove allocator.
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页数:6
相关论文
共 12 条
[1]  
Chen X, 2004, J DAQING PETRO GEOLO, V23, P53
[2]  
[崔海清 CUI Haiqing], 2006, [大庆石油学院学报, Journal of Daqing Petroleum Institute], V30, P38
[3]   MODELING TURBULENT-FLOW WITHIN A SMALL-DIAMETER HYDROCYCLONE [J].
DYAKOWSKI, T ;
WILLIAMS, RA .
CHEMICAL ENGINEERING SCIENCE, 1993, 48 (06) :1143-1152
[4]  
Geng C, 2006, J DAQING PETRO GEOLO, V25, P34
[5]   Numerical modelling of incompressible flows for Newtonian and non-Newtonian fluids [J].
Keslerova, Radka ;
Kozel, Karel .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2010, 80 (08) :1783-1794
[6]  
Li J, 2004, J OIL FIELD MACHIN, V33, P100
[7]  
Meng H., 2006, J PETRO MACHIN, V2, P15
[8]   Automatic grid generation and flow solution for complex geometries [J].
Smith, RJ ;
Johnston, LJ .
AIAA JOURNAL, 1996, 34 (06) :1120-1124
[9]  
Su M.D., 1997, COMPUTATIONAL FLUID
[10]  
Su Z, 2000, J PETRO PLAN DESIGN, V3, P30