Resolving experimental biases in the interpretation of diffusion experiments with a user-friendly numerical reactive transport approach.

ABSTRACT: The reactive transport code CrunchClay was used to derive effective diffusion coefficients (D_e), clay porosities (ε), and adsorption distribution coefficients (K_D) from through-diffusion data while considering accurately the influence of unavoidable experimental biases on the estimation of these diffusion parameters. These effects include the presence of filters holding the solid sample in place, the variations in concentration gradients across the diffusion cell due to sampling events, the impact of tubing/dead volumes on the estimation of diffusive fluxes and sample porosity, and the effects of O-ring-filter setups on the delivery of solutions to the clay packing. Doing so, the direct modeling of the measurements of (radio)tracer concentrations in reservoirs is more

SUBMITTER: Tournassat C 

PROVIDER: S-EPMC10497684 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature