scholarly journals Spontaneous imbibition in porous media: comparisons between a dynamic pore-network model and a VOF direct numerical simulation model

2020 ◽  
Author(s):  
Chao-Zhong Qin ◽  
Harald van Brummelen ◽  
Mahmoud Hefny
Keyword(s):  
Numerical Simulation ◽  
Porous Media ◽  
Direct Numerical Simulation ◽  
Simulation Model ◽  
Network Model ◽  
Pore Network ◽  
Spontaneous Imbibition ◽  
Pore Network Model ◽  
Dynamic Pore Network

Numerical Study of Buoyancy-Driven Oil Cluster Jumping in Porous Media by a Dynamic Pore-Network Model

2014 ◽  
Vol 490-491 ◽  
pp. 1560-1564
Author(s):  
Zhao Bin Zhang ◽  
Mian Lin
Keyword(s):  
Surface Roughness ◽  
Porous Media ◽  
Network Model ◽  
Numerical Study ◽  
Pore Network ◽  
Statistical Characteristics ◽  
Pore Network Model ◽  
Fluid Inertia ◽  
Time Step ◽  
Dynamic Pore Network

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.

Numerical and Experimental Fractal Pore Network Study on Drying of Porous Media: Numerical Simulation

2012 ◽  
Vol 557-559 ◽  
pp. 2167-2170
Author(s):  
Yue Jin Yuan ◽  
Yue Ding Yuan ◽  
Ying Ying Xu ◽  
Ji Xian Dong ◽  
Xiang Dong Liu
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Porous Media ◽  
Pore Network ◽  
Pore Network Model ◽  
Drying Process ◽  
Drying Time ◽  
State Heat ◽  
Steady State Heat Transfer ◽  
Drying Curve

In order to validate the model established in reference [1], a drying experimental study was conducted, and numerical simulation was carried out under the same environmental condition. The experiment and simulation results indicated that the fractal pore network model could explain the drying process of real porous media effectively, the drying curve of fractal models was more consistent with the real drying curve than that of regular models, and its moisture fields well reflected the drying kinetics characteristic of real porous media. There was no correlation between the pore fractal dimension and the drying time, and the simulation result of unsteady-state heat transfer was more consistent with a real drying process than that of steady-state heat transfer for the convective thermal drying.

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