Some great work at Queen Mary University of London by Cedric John and Harriet Dawson using machine vision to automatically detect skeletal components in carbonates.
“The subsurface is a fantastic resource to store and extract freshwater, clean hydrogen fuel, store carbon emissions, or even extract heat from geothermal energy. But to do this requires a meticulous examination of the geological records hidden within rocks. Among these, carbonate rocks play a crucial role, as they are formed by the accumulation of skeletal grains from marine organisms. However, identifying these grains has traditionally been a task that demands specialized expertise and considerable time. This is where modern technology, specifically artificial intelligence (AI), steps in to revolutionize the field.”
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 
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