Pore-to-Core Upscaling of Solute Transport Under Steady-State Two-Phase Flow Conditions Using Dynamic Pore Network Modeling Approach

2020 ◽  
Vol 135 (1) ◽  
pp. 181-218
Author(s):  
Yanbin Gong ◽  
Mohammad Piri
Keyword(s):  
Steady State ◽  
Solute Transport ◽  
Two Phase Flow ◽  
Network Modeling ◽  
Pore Network ◽  
Phase Flow ◽  
Flow Conditions ◽  
Two Phase ◽  
Pore Network Modeling ◽  
Dynamic Pore Network

scholarly journals Fluid Meniscus Algorithms for Dynamic Pore-Network Modeling of Immiscible Two-Phase Flow in Porous Media

2021 ◽  
Vol 8 ◽  
Author(s):  
Santanu Sinha ◽  
Magnus Aa. Gjennestad ◽  
Morten Vassvik ◽  
Alex Hansen
Keyword(s):  
Porous Media ◽  
Steady State ◽  
Two Phase Flow ◽  
Pore Network ◽  
Flow In Porous Media ◽  
Pore Network Model ◽  
Phase Flow ◽  
Steady State Flow ◽  
Two Phase ◽  
Dynamic Pore Network

We present in detail a set of algorithms for a dynamic pore-network model of immiscible two-phase flow in porous media to carry out fluid displacements in pores. The algorithms are universal for regular and irregular pore networks in two or three dimensions and can be applied to simulate both drainage displacements and steady-state flow. They execute the mixing of incoming fluids at the network nodes, then distribute them to the outgoing links and perform the coalescence of bubbles. Implementing these algorithms in a dynamic pore-network model, we reproduce some of the fundamental results of transient and steady-state two-phase flow in porous media. For drainage displacements, we show that the model can reproduce the flow patterns corresponding to viscous fingering, capillary fingering and stable displacement by varying the capillary number and viscosity ratio. For steady-state flow, we verify non-linear rheological properties and transition to linear Darcy behavior while increasing the flow rate. Finally we verify the relations between seepage velocities of two-phase flow in porous media considering both disordered regular networks and irregular networks reconstructed from real samples.

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