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structural geology, propagation mechanics and - Stanford School of ...

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(CBs) <strong>and</strong> the matrix rock in all simulations (although these permeabilities are locally<br />

isotropic, large-scale anisotropy will result from the CB orientation).<br />

Equation (1) can be extended to accommodate two-phase flow by considering Darcy's<br />

law <strong>and</strong> mass conservation for each phase separately:<br />

( φS<br />

)<br />

∂<br />

∂t<br />

( φS<br />

)<br />

∂<br />

∂t<br />

⎛ kk<br />

= ∇⋅<br />

⎜<br />

⎝<br />

∇<br />

⎞<br />

⎟<br />

⎠<br />

n rn<br />

⎜ pn<br />

⎟ + Qn<br />

µ n<br />

⎛ kk<br />

= ∇⋅<br />

⎜<br />

⎝<br />

∇<br />

⎞<br />

⎟<br />

⎠<br />

w rw<br />

⎜ pw<br />

⎟ + Q w<br />

µ w<br />

, (2)<br />

, (3)<br />

where subscripts n <strong>and</strong> w refer to nonwetting <strong>and</strong> wetting phases. Saturation (phase<br />

volume fraction) S is defined for each phase. The porosity <strong>of</strong> the rock is designated byφ<br />

,<br />

<strong>and</strong> in addition to the absolute permeability , a relative permeability, k , is defined for<br />

k r<br />

each phase. A capillary pressure (pc)<br />

relationship expresses the difference in pressure<br />

between the two phases as a function <strong>of</strong> S; i.e., pc( Sw)<br />

= pn<br />

− pw<br />

. An additional<br />

constraint requires Sn<br />

+ Sw<br />

= 1 .<br />

For all the flow scenarios, the governing equations are solved using a specialized<br />

finite-volume discretization technique, namely a discrete-feature model, developed by<br />

Karimi-Fard et al. (2004). Although originally designed to model flow in fractured porous<br />

media, where the discrete features provide high-permeability channels, the generality <strong>of</strong><br />

the method allows low-permeability features such as CBs to be treated equally well. The<br />

technique is designed for use with unstructured grids (in both two <strong>and</strong> three dimensions),<br />

which can accurately represent complex natural geometries such as the CB map (Figure<br />

7.3). A particular strength <strong>of</strong> the method is that it allows small-scale linear features such<br />

as CBs to be represented <strong>and</strong> modeled using control volumes that are <strong>of</strong> the same<br />

thickness as the feature, meaning that CBs need not be resolved in the transverse (thin)<br />

direction by the grid. This reduces the overall number <strong>of</strong> cells required <strong>and</strong> greatly<br />

simplifies the gridding procedure. In addition, inefficiencies caused by the proliferation <strong>of</strong><br />

small control volumes at CB intersections are mitigated using a special connectivity<br />

transformation, which improves numerical stability <strong>and</strong> allows for larger time steps in<br />

transport problems in some cases (Karimi-Fard et al., 2004).<br />

176

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