Image-based modeling of spontaneous imbibition in porous media by a dynamic pore network model

2021 ◽  
pp. 103932
Author(s):  
Chao-Zhong Qin ◽  
Harald van Brummelen ◽  
Mahmoud Hefny ◽  
Jianlin Zhao
Keyword(s):  
Porous Media ◽  
Network Model ◽  
Pore Network ◽  
Spontaneous Imbibition ◽  
Pore Network Model ◽  
Image Based Modeling ◽  
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.

Study of the permeability characteristics of porous media with methane hydrate by pore network model

2010 ◽  
Vol 19 (3) ◽  
pp. 255-260 ◽  
Author(s):  
Haifeng Liang ◽  
Yongchen Song ◽  
Yu Liu ◽  
Mingjun Yang ◽  
Xing Huang
Keyword(s):  
Porous Media ◽  
Network Model ◽  
Methane Hydrate ◽  
Pore Network ◽  
Pore Network Model ◽  
Permeability Characteristics
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