On the effect of salinity and nano-particles on polymer flooding in a heterogeneous porous media: Experimental and modeling approaches

被引:25
作者
Ameli, Forough [1 ]
Moghbeli, Mohammad Reza [1 ]
Alashkar, Ali [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Chem Engn, Tehran 1684613114, Iran
关键词
Polymer flooding; Micro-model; Simulation; Recovery factor; Breakthrough time; ENHANCED OIL-RECOVERY; 2-PHASE FLOW; RELATIVE PERMEABILITY; RESIDUAL OIL; WETTABILITY; RESERVOIR; PHASE; FLUID; GAS;
D O I
10.1016/j.petrol.2018.12.015
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
In this study, polymer flooding process was simulated using COMSOL Multiphysics (R) modeling software. Navier-Stokes and phase field equations were solved simultaneously using finite element approach. Effects of salinity, viscosity, and nano-particles were studied on displacement efficiency of oil sample in the heterogeneous porous media. Modeling results for oil recovery factor and breakthrough time were obtained and compared to experimental outputs of another study. Results indicated that there exists a proper accommodation between the results. Errors ranged from 3% to 7% for oil recovery factor and 0.5%-0.9% for the breakthrough time in various injection scenarios. Using predefined structure of the under test micromodel, star-like meshes were developed in this software for the first time. This unstructured mesh is more likely to the pore structures of the sandstone reservoirs. To increase the validity of the results, a boundary layer was designated in the fluid flow path and mesh generation was performed manually in a complicated pore space instead of automatic mesh generation. Experimental and modeling results for the residual oil saturation as a function of dimensionless time were compared. Mesh dependency studies were performed to obtain the best number of mesh elements in which the most accurate results were obtained in the minimum required time. Finally, sensitivity analysis studies were performed as a function of injection rate, mobility ratio, and viscosity and the operating conditions were analyzed in terms of capillary number. All the polymer injection scenarios led to reasonable range for this parameter which verifies the accuracy of the selected operating parameters and the modeling approach.
引用
收藏
页码:1152 / 1168
页数:17
相关论文
共 79 条
[1]   Screening of oil reservoirs for selecting candidates of polymer injection [J].
Abou-Kassem, JH .
ENERGY SOURCES, 1999, 21 (1-2) :5-15
[2]   Dynamic network modeling of two-phase drainage in porous media [J].
Al-Gharbi, MS ;
Blunt, MJ .
PHYSICAL REVIEW E, 2005, 71 (01)
[3]  
Al-saadi F., 2012, SPE EOR C OIL GAS W
[4]   A novel optimization technique for Fast-SAGD process in a heterogeneous reservoir using discrete variables and repetition inhibitory algorithm [J].
Ameli, Forough ;
Mohammadi, Kaveh .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2018, 171 :982-992
[5]   Pore-scale modeling of non-isothermal two phase flow in 2D porous media: Influences of viscosity, capillarity, wettability and heterogeneity [J].
Amiri, H. A. Akhlaghi ;
Hamouda, A. A. .
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2014, 61 :14-27
[6]  
[Anonymous], 2006, SPE ANN TECHN C EXH
[7]  
[Anonymous], [No title captured]
[8]  
[Anonymous], 1987, SPE INT S OILF CHEM
[9]  
[Anonymous], SPE ENH OIL REC S SO
[10]  
[Anonymous], 1985, P SPE OILF GEOTH CHE