APPLICATION OF DEEP LEARNING TECHNOLOGIES FOR STUDYING THIN SECTIONS ON THE EXAMPLE OF USINSK OIL FIELD

• Published in: Izvestiya Tomskogo Politekhnicheskogo Universiteta Inziniring Georesursov
• Main Authors: Nikita A. Popov, Ivan S. Putilov, Anastasiya A. Gulyaeva, Ekaterina V. Vinokurova
• Format: Article in Journal/Newspaper
• Language: Russian
• Published: Tomsk Polytechnic University 2020
• Subjects: technology of machine learning; investigations of core; description of thin sections; mathematical-statistical analysis; the classification of danhem; Engineering geology. Rock mechanics. Soil mechanics. Underground construction; TA703-712; Usinsk
• Online Access: https://doi.org/10.18799/24131830/2020/6/2681; https://doaj.org/article/7432df2105854e41ab4a36131024ef4e

The article is devoted to development of methodological techniques for application of machine learning technologies, including deep learning, to the problems of in-depth analysis of geological and physical parameters based on the results of laboratory studies of core sections. To achieve this goal,...