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Direct mineral content prediction from drill core images via transfer learning
March 28, 2024, 4:42 a.m. | Romana Boiger, Sergey V. Churakov, Ignacio Ballester Llagaria, Georg Kosakowski, Raphael W\"ust, Nikolaos I. Prasianakis
cs.LG updates on arXiv.org arxiv.org
Abstract: Deep subsurface exploration is important for mining, oil and gas industries, as well as in the assessment of geological units for the disposal of chemical or nuclear waste, or the viability of geothermal energy systems. Typically, detailed examinations of subsurface formations or units are performed on cuttings or core materials extracted during drilling campaigns, as well as on geophysical borehole data, which provide detailed information about the petrophysical properties of the rocks. Depending on the …
abstract arxiv assessment core cs.cv cs.lg eess.iv energy exploration images industries mining nuclear oil prediction systems transfer transfer learning type units via waste
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