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4. Upscaling Adsorbing Solutes: Pore-Network Modeling<br />

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interface. They performed pore-scale simulations for a wide range <strong>of</strong> localscale<br />

distribution coefficients and Peclet numbers. Through these simulations,<br />

they found relationships for the upscaled parameters as a function <strong>of</strong> underlying<br />

pore-scale parameters. Such relations are useful to perform upscaling by<br />

means <strong>of</strong> pore-network model. They have shown that even if there is equilibrium<br />

adsorption at the pore wall (i.e., at the grain surface), one may need to<br />

employ a kinetic description at larger scales. They have also shown this kinetic<br />

behavior through employed volume averaging method, yielding very similar results<br />

for upscaled kinetic parameters. These kinetic expressions are sometimes<br />

referred to as “pseudokinetics”, because they are a result <strong>of</strong> averaging to larger<br />

scales, and are not inherent to the underlying surface reaction [Binning and<br />

Celia, 2008]. Scale-dependent pseudokinetics has been observed for relatively<br />

simple sorption systems, with local equilibrium [Burr et al., 1994, Espinoza and<br />

Valocchi, 1997, Rajaram, 1997].<br />

Li et al. [2006b] used pore-network modeling to investigate scaling effects in<br />

geochemical reaction rates accounting for heterogeneities <strong>of</strong> both physical and<br />

mineral properties. In particular, they upscaled anorthite and kaolinite reaction<br />

rates under simulation conditions relevant to geological CO 2 sequestration.<br />

They found that pore-scale concentrations <strong>of</strong> reactants and reaction rates could<br />

vary spatially by orders <strong>of</strong> magnitude. Under such conditions, scaling effects<br />

are significant and one should apply an appropriate scaling factor; i.e., using<br />

lab-measured rates directly in the reactive transport models may introduce<br />

errors. To find macro-scale reaction rates analogous to CO 2 injection conditions,<br />

Algive et al. [2007b] have used pore-network modeling together with<br />

experimental work (on a glass micromodel) to evaluate effects <strong>of</strong> deposition<br />

regimes on permeability and porosity. Diffusion was taken into account in the<br />

calculation <strong>of</strong> the effective reaction coefficient at the macro scale, so that masstransfer-limited<br />

reaction could be studied. They found that both pore-scale<br />

and macro-scale transport processes are needed for explaining deposition patterns;<br />

while macroscopic parameters controlled the concentration field and its<br />

variation, microscopic parameters determined the deposition rate for a given<br />

macroscopic concentration field.<br />

Although there are some studies on upscaling <strong>of</strong> reaction rate coefficients, many<br />

<strong>of</strong> them do not provide an explicit relationship between pore scale and upscaled<br />

parameters. In this work, we present a methodology for using a pore-network<br />

model to investigate scaling effects in adsorption rates. The aim <strong>of</strong> this research<br />

is to find a relation between macroscopic (Darcy scale) and local scale transport<br />

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