Scientists automate core box image recognition

Skoltech researchers have trained a neural network to recognize rock samples in core box images efficiently. It sped the analysis process by up to 20 times and made it possible to automate the description of rock samples. The developed algorithm is used in the DeepCore system—a digital geological exploration service created by Digital Petroleum, a spin-off of Skoltech. The details of the method are described in the article published in Computers & Geosciences.

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