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Every mineral exploration company is legally required to photograph drillcore as it is collected. These drillcores are later visually inspected by geologists, and characteristics of the core, such as lithology, alteration, and mineralization, are manually recorded in composite intervals.
Most deposits have accumulated – and continue to collect – thousands of core photos, most often stored on various servers and forgotten. Millions of dollars may have been spent collecting this overlooked information.
We extract untapped value from those existing core box photos by using deep learning to eliminate aspects of the image that are not rock, and clean and optimize the quality of the existing images. We then employ LithoLens to automatically recognize varying geological intervals – or specific features such as veins – within the core. Our process allows us to utilize existing images and extract relevant information that might have been missed through the core logging process.