A detailed description of a semi-automated process of digitalization, visualization and quantification of rock thin sections by applying Optical Image Analysis (OIA) is presented. The main goal of this process is to guarantee the reproducibility of the OIA method on images acquired by a high-resolution scanner (HRS, Cannon V850 Pro) from thin sections, emulating an optical microscope. The method consists of the following sequence of operations and functions: i) image acquisition under polarized conditions by image analysis programs (SilverFast SE Plus 8I), ii) spatial correction of images to ensure correct spatial correlation and registration by using a Geographic Information System software (QGIS 2.14.0-Essen), iii) pore identification and pore size and shape parameter quantification (ImageJ 1.50i), iv) storage of the high resolution polarized images. This semi-automated process grants effective pore segmentation based on images of different cross-polarized light conditions (90°/0°; 135°/45°) and plane-polarized light conditions (90°/-; 0°/-) of the same petrographic scene. The optical resolution of the used images (6400 dots per inch) enables the visualization of pores with diameters ranging from 3.97 μm to 2000 μm. The proposed method was applied to and tested by the quantification of optical pores of two sedimentary rocks before and after their exposure to supercritical CO2 (t: 970 h). Through this process, rock pore evolution after interaction with supercritical CO2 can be correctly assessed. The applied OIA system and, in particular, the sets of obtained high resolution polarized digital images provided a basis for the development of a remote visualization system. This system makes it possible to virtually represent thin sections similarly to a simple virtual microscope. The described workflow offers a fast, effective and reproducible methodology that could complement petrographic studies.