The file contains three measurements of pressure difference over the correspondig crust [mbar] at four flow rates [mL/min], crust thickness [mm], sample diameter [mm], dynamic viscosity of nitrogen ga
Most classical predictive models of hydraulic conductivity rely on pore bundle concept that only accounts for capillary flow and neglects the water film flow. Considering the water transport in water
Dataset and code used in M. Röding, et al, "Predicting permeability via statistical learning on higher-order microstructural information", published in Scientific Reports, 2020. In this work, we study
The dataset includes (1) the source code of the developed dynamic pore-network model, and (2) the case studies presented in the preprint 'spontaneous imbibition in porous media from pore-scale to Darc
