Prediction of residual saturation and pressure drop during coalescence filtration using dynamic pore network model

2021 ◽  
Vol 254 ◽  
pp. 117588
Author(s):  
A. Azarafza ◽  
A.J.C. King ◽  
R. Mead-Hunter ◽  
J. Schuler ◽  
S. Abishek ◽  
...  
2021 ◽  
Vol 139 (3) ◽  
pp. 491-512
Author(s):  
Hursanay Fyhn ◽  
Santanu Sinha ◽  
Subhadeep Roy ◽  
Alex Hansen

AbstractImmiscible two-phase flow in porous media with mixed wet conditions was examined using a capillary fiber bundle model, which is analytically solvable, and a dynamic pore network model. The mixed wettability was implemented in the models by allowing each tube or link to have a different wetting angle chosen randomly from a given distribution. Both models showed that mixed wettability can have significant influence on the rheology in terms of the dependence of the global volumetric flow rate on the global pressure drop. In the capillary fiber bundle model, for small pressure drops when only a small fraction of the tubes were open, it was found that the volumetric flow rate depended on the excess pressure drop as a power law with an exponent equal to 3/2 or 2 depending on the minimum pressure drop necessary for flow. When all the tubes were open due to a high pressure drop, the volumetric flow rate depended linearly on the pressure drop, independent of the wettability. In the transition region in between where most of the tubes opened, the volumetric flow depended more sensitively on the wetting angle distribution function and was in general not a simple power law. The dynamic pore network model results also showed a linear dependence of the flow rate on the pressure drop when the pressure drop is large. However, out of this limit the dynamic pore network model demonstrated a more complicated behavior that depended on the mixed wettability condition and the saturation. In particular, the exponent relating volumetric flow rate to the excess pressure drop could take on values anywhere between 1.0 and 1.8. The values of the exponent were highest for saturations approaching 0.5, also, the exponent generally increased when the difference in wettability of the two fluids were larger and when this difference was present for a larger fraction of the porous network.


2014 ◽  
Vol 490-491 ◽  
pp. 1560-1564
Author(s):  
Zhao Bin Zhang ◽  
Mian Lin

Buoyancy-driven oil cluster jumping in porous media is studied by a dynamic pore-network model in relation to secondary oil migration. The model has two novel aspects. First, inertia of fluid and surface roughness of throat are taken into account in simulating the jumping process. Second, a probability technique is proposed to let the model allow a longer time step. The numerical results indicate that the dynamic process of buoyancy-driven cluster jumping is caused not only by porous media heterogeneity, but also by fluid inertia and throat surface roughness. Pressure field characteristics in jumping are studied and a cluster-based pressure solving technique is proposed to reduce the computational demanding of pressure solving. Some statistical characteristics, include cluster size distribution and residual oil saturation, are also studied.


AIChE Journal ◽  
2020 ◽  
Vol 66 (9) ◽  
Author(s):  
Xinlei Liu ◽  
Chong Peng ◽  
Hongxin Bai ◽  
Qunfeng Zhang ◽  
Guanghua Ye ◽  
...  

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