Estimation of Pore Size and Permeability in Porous Media Using Image Processing

In this study, the porous media's morphological information, such as pore and particle size distribution, number of particles, and porosity, was extracted using image processing by imaging the spherical particle bed. The findings revealed that the ratio between the average pore diameter and the mean particle diameter is logarithmically related to porosity. The pore network model was used to measure the permeability in porous media. To create a pore network, all of the information derived from the image was used. The pressure distribution, flow rate, and consequently, the permeability have been determined after applying the governing equations in the network. The simulation findings for validation were compared to the permeability calculated in the experiment and the Carmen-Kozeny and Rabbani et al. equations. It was observed that the experimental results are more consistent with the results of the pore network model due to considering the internal structure of the porous media in the form of pores and throats.