Prediction of Temperature and Viscosity Profiles in Heavy-Oil Producer Wells Implementing a Downhole Induction Heater

被引:3
作者
Ramirez, Javier [1 ]
Zambrano, Alexander [2 ]
Ratkovich, Nicolas [1 ]
机构
[1] Univ Andes, Dept Chem & Food Engn, Cra 1 18A-12, Bogota 111711, Colombia
[2] BCPGroup Artificial Lift, Autopista Medellin Km 0 440 Mts, Tenjo 250208, Colombia
关键词
enhanced oil recovery (EOR); reservoir and well performance; downhole induction heater; heavy-oil producer wells; CFD;
D O I
10.3390/pr11020631
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Very high viscosity significantly impacts the mobility of heavy crude oil representing difficulties in production and a decrease in the well's efficiency. Downhole electric heating delivers a uniform injection of heat to the fluid and reservoir, resulting in a substantial decrease in dynamic viscosity due to its exponential relationship with temperature and a drop in frictional losses between the production zone and the pump intake. Therefore, this study predicts temperature and viscosity profiles in heavy oil-production wells implementing a downhole induction heater employing a simplified CFD model. For the development of the research, the geometry model was generated in CAD software based on the geometry provided by the BCPGroup and simulated in specialized CFD software. The model confirmed a 46.1% effective decrease of mean 12 degrees API heavy-oil dynamic viscosity compared with simulation results without heating. The developed model was validated with experimental data provided by the BCPGroup, obtaining an excellent agreement with 0.8% and 15.69% mean error percentages for temperature and viscosity, respectively. Furthermore, CFD results confirmed that downhole electrical induction heating is an effective method for reducing heavy-oil dynamic viscosity; however, thermal effects in the reservoir due to heat penetration were insignificant. For this study, the well will remain stimulated.
引用
收藏
页数:15
相关论文
共 21 条
[1]  
Agency I.E, 2005, RESOURCES RESERVES, P128, DOI [10.1787/9789264109483-en, DOI 10.1787/9789264109483-EN]
[2]  
[Anonymous], MATLAB R2021A NUM CO
[3]  
[Anonymous], Computational Fluid Dynamics
[4]  
[Anonymous], BCPGROUP MAGNETO D2H
[5]  
[Anonymous], P.O.L
[6]  
[Anonymous], SIMC STAR CCM US MAN
[7]  
Autodesk Inventor Professional, 2021, COMPUT AIDED DESIGN
[8]   THERMAL-CONDUCTIVITY OF CRUDE OILS [J].
ELAM, SK ;
TOKURA, I ;
SAITO, K ;
ALTENKIRCH, RA .
EXPERIMENTAL THERMAL AND FLUID SCIENCE, 1989, 2 (01) :1-6
[9]   A Simple Approach for Quantifying Accelerated Production Through Heating Producer Wells [J].
Mao, Deming ;
Xie, Xueying ;
Jones, Raymond M. ;
Harvey, Albert ;
Karanikas, John M. .
SPE JOURNAL, 2017, 22 (01) :316-326
[10]  
Marfissi F., 2009, P WORLD HEAVY OIL C, P1