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3. Upscaling <strong>of</strong> Adsorbing Solutes; Pore Scale<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

and Brantley, 2003, Maher et al., 2004]. Then the question arises as to what<br />

extent pore scale reaction models and parameters are applicable at the macroscale.<br />

Recently, Meile and Tuncay [2006] addressed this question for the case <strong>of</strong> mineral<br />

dissolution and homogenous reaction with the aid <strong>of</strong> a pore-scale numerical<br />

model. They found that macro-scale descriptions <strong>of</strong> these processes are different<br />

from pore-scale descriptions because <strong>of</strong> the effect <strong>of</strong> small-scale gradients<br />

in concentration fields. To investigate these effects, they numerically generated<br />

virtual porous media using random placement <strong>of</strong> identical spherical particles<br />

and solved diffusion and reaction in the resulting pore spaces. They showed<br />

that upscaled values <strong>of</strong> reaction and dissolution rates depend on the type <strong>of</strong><br />

reaction, pore geometry, and macroscopic concentration gradient. They found<br />

that differences between these two scales become more significant for surface<br />

reactions as compared to homogeneous reactions. A limitation in the work<br />

<strong>of</strong> Meile and Tuncay [2006] is that they considered only diffusion transport<br />

and neglected advection. Other modeling studies have shown that the role<br />

<strong>of</strong> advection on the distribution <strong>of</strong> chemicals at the pore level is very important<br />

(e.g., Bryant and Thompson [2001], Knutson et al. [2001a], Robinson and<br />

Viswanathan [2003], Szecsody et al. [1998]).<br />

Li et al. [2006b] studied the effect <strong>of</strong> pore-scale concentration gradients on a<br />

mineral dissolution rate influenced by advection. They introduced two kinds <strong>of</strong><br />

models for minerals that could dissolve at different rates. First, they developed<br />

a Poiseuille flow model that coupled the reaction rate to both advection and<br />

diffusion within a pore space. Next they developed a “well-mixed reaction”<br />

model that assumed complete mixing within the pore. They have shown that<br />

concentration gradients could cause scale dependence <strong>of</strong> reaction rates. Significant<br />

concentration gradients would develop when diffusion is slower than the<br />

advection process, provided that rates <strong>of</strong> advection and reaction are comparable.<br />

This shows the effect <strong>of</strong> pore-scale gradients and residence times on the<br />

transport <strong>of</strong> reactive solutes. The effect <strong>of</strong> residence times on reactive transport<br />

was also addressed by Robinson and Viswanathan [2003], who showed the importance<br />

<strong>of</strong> pore-scale gradients, especially for nonlinear reactions; solute pulses<br />

<strong>of</strong> short duration; and systems with broad residence time distribution curves.<br />

Characteristic timescales <strong>of</strong> reaction processes pose constraints for transport<br />

models [Mo and Friedly, 2000, Cao and Kitanidis, 1998].<br />

Experimental studies (e.g., Guo and Thompson [2001]) as well as pore-scale<br />

numerical models [Knutson et al., 2001a] have shown the dependence <strong>of</strong> mass<br />

44

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