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download pdf version of PhD book - Universiteit Utrecht

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1.3 Pore-scale modeling approach<br />

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features <strong>of</strong> the pore geometry <strong>of</strong> porous medium. The primary topological feature<br />

<strong>of</strong> a pore system is the coordination number distribution. Physical flow<br />

and solute transport properties on the other hand require, in addition, exact or<br />

approximate equations <strong>of</strong> motion. Often this involves steady or unsteady state<br />

transport <strong>of</strong> physical quantities such as mass, energy, charge or momentum.<br />

Pore-network models are commonly based on an idealized description <strong>of</strong> pore<br />

spaces [Scheidegger, 1957, De Jong, 1958]. However, in order to mimic realistic<br />

porous media processes, network models should reproduce the main morphological<br />

and topological features <strong>of</strong> real porous media. This should include pore-size<br />

distribution, and coordination number and connectivity [Helba et al., 1992, Hilfer<br />

et al., 1997, Øren et al., 1998b, Ioannidis and Chatzis, 1993a, Sok et al.,<br />

2002, Arns et al., 2004]. In the present study, we have used a Multi-Directional<br />

Pore Network (MDPN) for representing a porous medium. One <strong>of</strong> the main<br />

features <strong>of</strong> our network is that pore throats can be oriented not only in the<br />

three principal directions, but in 13 different directions, allowing a maximum<br />

coordination number <strong>of</strong> 26, as shown in Figure 1.1.<br />

Figure 1.1: Schematic <strong>of</strong> a 26-connected network. Numbers inside<br />

the squares show tube directions and others are pore body numbers<br />

[Rao<strong>of</strong> and Hassanizadeh, 2009].<br />

Flow and transport processes are simulated at the pore scale in detail by explicitly<br />

modeling the interfaces and mass exchange at surfaces. The solution <strong>of</strong> the<br />

pore network model provides local concentrations and enables computation <strong>of</strong><br />

the relationship between concentrations and reaction rates at the macro scale<br />

to concentrations and reaction rates at the scale <strong>of</strong> individual pores, a scale at<br />

which reaction processes are well defined [Li et al., 2007a,b]. Comparing the<br />

7

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