Tracer dispersion in porous media with a double porosity

Predictive model of solute transport with reversible adsorption in spatially periodic hierarchical porous media

Solute transport in hierarchical porous media with reversible adsorption is predicted by the volume averaging method. A transient macroscopic advection-diffusion equation is derived to describe the multiscale solute transport problem. The theoretical expression of the dispersion tensor is obtained which is the function of pore-scale velocity profile. Steady closure equations are derived to calculate the dispersion tensor. With the aid of pore-scale simulation in unit cells of the hierarchical porous media, the dispersion tensor can be calculated. The model is verified by comparing its predictions and obtaining favorable agreement with results of direct numerical simulations and with experimental data for columns comprised of ordered, porous pillars. It is straightforward to use the model to predict the solute transport behavior in fixed beds packed with particles.

Experimental evidence of power-law trapping-time distributions in porous media

We present experimental results of solute transport in porous samples made of packings of activated carbon porous grains. Exchange experiments, where the tagged solution initially saturating the medium is replaced with the same solution without tracer, are accurately described by macroscopic transport equations. On the other hand, in desorption experiments, where the tagged solution is replaced by water, the solute concentration exhibits a power-law decay for long times, which requires a more detailed, mesoscopic description. We reproduce this behavior within a continuous-time random-walk approach, where the waiting time distribution is related to the desorption isotherm. Results are compatible with a power-law trapping time distribution with divergent first moment, characteristic of anomalous (sub)diffusion.