Pore size distributions convolution for microtomographic images applied to Shark Bay's oolite

In the study of pore size distributions within microtomographic images, there is no consensus in how to group pore size distributions obtained at different spatial resolutions in a single distribution, which represents the properties of the sample in a better way. This work presents a proposition that allows to group pore size distributions obtained by microtomography images in different spatial resolutions. A Shark's Bay oolite was imaged by X-ray microtomography at 4.4 μm and 1.1 μm spatial resolutions. The pore size distribution and average porosity were determined for each resolution. Through a weight factor obtained from the number of pores measured on those distributions, it is possible to group the pore size distributions in a single distribution. Using the pore size distribution for the grouped function, the average porosity of the sample was determined, which was then compared to the total porosity measured by mercury porosimetry, showing that this distribution characterizes the sample in a more representative way.