14.11.2013 Views

download pdf version of PhD book - Universiteit Utrecht

download pdf version of PhD book - Universiteit Utrecht

download pdf version of PhD book - Universiteit Utrecht

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

8.1 Introduction<br />

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

cluded that a parabolic velocity pr<strong>of</strong>ile in pore throats must be implemented<br />

to get a good agreement for a wide range <strong>of</strong> Peclet number.<br />

In applying equations <strong>of</strong> mass balance to simulate solute transport, usually pore<br />

scale mixing is assumed within each network element. Different definitions <strong>of</strong><br />

network element have been used in literature. The choice commonly depends<br />

on the process under consideration as well as computational load. Acharya<br />

et al. [2005a] modeled porous medium with a network <strong>of</strong> pore-units, as the<br />

network element. Each pore unit comprised <strong>of</strong> pore bodies and bonds <strong>of</strong> finite<br />

volume. Such a pore-unit was assumed to be a mixing cell with steady state flow<br />

condition [Sun, 1996, Suchomel et al., 1998b, Acharya et al., 2005a]. By solving<br />

the mixing cell model for each pore unit and averaging the concentrations for<br />

a large number <strong>of</strong> pore units as a function <strong>of</strong> time and space, the dispersivity<br />

was calculated.<br />

Li et al. [2006b] considered pore bodies as network elements to simulate reactive<br />

transport within porous media. They have simulated reactive transport by<br />

applying the mass balance equation which accounted for advection, diffusion<br />

between adjacent pores, and reaction in each pore. Considering the network<br />

domain as a REV, the reaction rates from network models were compared to<br />

rates from continuum scale models, that use uniform concentrations, to examine<br />

the scaling behavior <strong>of</strong> reaction kinetics.<br />

Commonly the similarity between numerical and physical dispersion is used to<br />

represent dispersion in porous media. The numerically generated dispersion<br />

is a function <strong>of</strong> time step. Such a dispersion could be analyzed by fitting<br />

the numerical solution to the Taylor’s expansion [Sun, 1996, Suchomel et al.,<br />

1998b].<br />

To solve the transport equation within pore network, Suchomel et al. [1998b]<br />

used a finite-difference approximation to the one-dimensional transport problem<br />

in each pore. They discretized the space within each individual pore throat<br />

to calculate mass transfer within a given pore. They have used upwind explicit<br />

finite-difference method to discretize the advection term. This scheme is numerically<br />

diffusive. They have used such a numerical diffusion to represent<br />

physical diffusion. Through comparison with Taylor expansion, they have calculated<br />

numerical dispersion due to scheme approximations.<br />

In this chapter we use a deterministic approach by applying equations <strong>of</strong> mass<br />

balance to each network element to simulate reactive/adsorptive transport under<br />

(partially-) saturated conditions. Under saturated conditions we use pore<br />

bodies and pore throats, both with finite volumes, as network elements. How-<br />

179

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!