Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images

Images represent a large and efficient source of geological information from oil exploration. To better analyze them, well-known machine learning algorithms are used to extract mineralogy and porosity data from petrographic thin section images. Microscopic petrographic analysis allows obtaining images from thin sections in the visible spectrum. They are used to evaluate depositional environments and diagenetic processes during the formation of...