download pdf version of PhD book - Universiteit Utrecht
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5. Pore-Network Modeling <strong>of</strong> Two-Phase Flow<br />
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />
Relativ ve Permeability<br />
1.0<br />
0.8<br />
0.6<br />
0.4<br />
0.2<br />
0.0<br />
Including pore body resistances<br />
Correction term using pore body conductances<br />
Correction term uisng saturations<br />
Centrifuge experiment<br />
0.0 0.2 0.4 0.6 0.8 1.0<br />
Saturation<br />
Figure 5.17: Relative permeability curves obtained from our approach, i.e.,<br />
including conductance <strong>of</strong> both pore bodies and pore throats (solid line), together<br />
with calculation <strong>of</strong> k r using effective conductance approaches, Equations (5.20)<br />
and (5.21) (dashed lines). Circles show measured values during primary drainage<br />
experiment by Al-Kharusi and Blunt [2008].<br />
5.5 Conclusion<br />
In this study, we have presented a new formulation for pore-network modeling<br />
<strong>of</strong> two-phase flow which enables us to calculate more accurate relative<br />
permeability-saturation (k r − S w ) relationships. This goal was achieved by<br />
including the resistance to the flow within pore bodies <strong>of</strong> a MDPN model.<br />
Through quantitative analysis, we have calculated the influence <strong>of</strong> pore body<br />
resistance under primary drainage conditions. Since pore bodies vary considerably<br />
in size in porous media, including their effect will influence the relative<br />
permeability curve. Using several pore-network models with different coordination<br />
number distributions, we have shown that including the resistance to the<br />
flow within the pore bodies significantly affects simulated k r − S relationship<br />
and can improve the accuracy <strong>of</strong> results <strong>of</strong> pore-network models.<br />
The approach presented helps to reduce sensitivity <strong>of</strong> pore-network modeling<br />
to pore space discretization, based on direct imaging <strong>of</strong> porous media samples.<br />
As mentioned earlier, based on images, the pore space is commonly partitioned<br />
into pore bodies and pore throats. This nontrivial partitioning has a major effect<br />
on results <strong>of</strong> flow calculations in current pore-network models [Sholokhova<br />
et al., 2009], because the pore bodies do not contribute to the resistant to the<br />
flow. But, because we account for the flow resistance within pore bodies as<br />
well as pore throats, the results are less sensitive to the division <strong>of</strong> pore space<br />
into pore bodies and pore throats.<br />
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