Seequent has added AI-powered image analysis to Imago, its system for managing core photographs and other geological imagery. The new tools turn core tray photos into depth-referenced information such as Rock Quality Designation, or RQD, and fracture counts.
The part that interests me is how the results are reviewed. According to Seequent’s technical guide, the geologist can check the interpretation against the photographs, correct classifications, adjust inputs, and rerun the analysis. Human edits take priority over the initial automated interpretation.
That seems like a sensible use of AI. Before relying on automated RQD, I’d want to see how it handles drilling breaks, rubble zones, and less-than-perfect photography. There could be a useful time savings here, particularly with a large archive of core photos. I’d still want someone who understands the core making the final call.
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