Pore-Scale Network Modelling of Waterflood Residual Oil Recovery by Immiscible Gas Flooding

1994 ◽  
Author(s):  
P-E. Oren
Keyword(s):  
Oil Recovery ◽  
Pore Scale ◽  
Residual Oil ◽  
Network Modelling ◽  
Gas Flooding ◽  
Scale Network ◽  
Pore Scale Network

scholarly journals The Impact of Rheology on Viscous Oil Displacement by Polymers Analyzed by Pore-Scale Network Modelling

Polymers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1259
Author(s):  
Iselin C. Salmo ◽  
Ken S. Sorbie ◽  
Arne Skauge
Keyword(s):  
Oil Recovery ◽  
Effective Viscosity ◽  
Experimental Studies ◽  
Shear Thinning ◽  
Polymer Rheology ◽  
Pore Scale ◽  
Scale Network ◽  
Thickening Behavior ◽  
Newtonian Constant ◽  
Pore Scale Network

Several experimental studies have shown significant improvement in heavy oil recovery with polymers displaying different types of rheology, and the effect of rheology has been shown to be important. These experimental studies have been designed to investigate why this is so by applying a constant flow rate and the same polymer effective viscosity at this injection rate. The types of rheology studied vary from Newtonian and shear thinning behavior to complex rheology involving shear thinning and thickening behavior. The core flood experiments show a significantly higher oil recovery with polyacrylamide (HPAM), which exhibits shear thinning/thickening behavior compared to biopolymers like Xanthan, which is purely shear thinning. Various reasons for these observed oil recovery results have been conjectured, but, to date, a clear explanation has not been conclusively established. In this paper, we have investigated the theoretical rationale for these results by using a dynamic pore scale network model (DPNM), which can model imbibition processes (water injection) in porous media and also polymer injection. In the DPNM, the polymer rheology can be shear thinning, shear thinning/thickening, or Newtonian (constant viscosity). Thus, the local effective viscosity in a pore within the DPNM depends on the local shear rate in that pore. The predicted results using this DPNM show that the polymer causes changes in the local flow velocity field, which, as might be expected, are different for different rheological models, and the changes in the velocity profile led to local diversion of flow. This, in turn, led to different oil recovery levels in imbibition. However, the critical result is that the DPNM modelling shows exactly the same trend as was observed in the experiments, viz. that the shear thinning/thickening polymer gave the highest oil recovery, followed by the Newtonian Case and the purely shear thinning polymer gave the lowest recover, but this latter case was still above the waterflood result. The DPNM simulations showed that the shear-thinning/thickening polymer show a stabilized frontal velocity and increased oil mobilization, as observed in the experiments. Simulations for the shear-thinning polymer show that, in high-rate bonds, the average viscosity is greatly reduced, and this causes enhanced water fingering compared to the Newtonian polymer case. No other a priori model of the two-phase fluid physics of imbibition, coupled with the polymer rheology, has achieved this degree of predictive explanation, of these experimental observations, to our knowledge.

Relative Permeabilities for Blowdown of a Near Critical Oil Reservoir: Issues and Solutions Emerging From Pore Scale Network Modelling

2008 ◽  
Author(s):  
Igor Bondino ◽  
Cosmas Chigozie Ezeuko ◽  
Steven McDougall ◽  
Richard Graeme H. Ward ◽  
Gerald Hamon
Keyword(s):  
Oil Reservoir ◽  
Pore Scale ◽  
Relative Permeabilities ◽  
Network Modelling ◽  
Scale Network ◽  
Pore Scale Network
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