Networked distributed storages for data and digital technologies in geological prospecting, mining and management of mining projects
A.A. Romanova1, 2. 3
1 Gubkin University, Moscow, Russian Federation
2 Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation
3 Russian Technological University, Moscow, Russian Federation
Russian Mining Industry №2 / 2025 p.154-162
Abstract: This article explores the role of networked distributed storages for data and digital technologies in geological prospecting, mining and management of mining projects. An extensive set of empirical data that covers key performance indicators of digital solutions was analyzed to identify significant opportunities for enhancing the accuracy of geological prospecting, cutting costs, optimizing production processes, and reducing environmental risks. It was found that implementation of intelligent data storage and processing systems can improve the accuracy of geological prospecting up to 90-95%, increase mining productivity by 18-27% and reduce specific greenhouse gas emissions by 15-20%. Recommendations for upscaling the best digitalization practices to different types of fields and stages of their development are offered with due consideration of the industry's and the country's specific features.
Keywords: digital transformation, distributed data storages, mining industry, intelligent data analysis, operational efficiency, environmental sustainability
Acknowledgments: This research was supported by the Russian Science Foundation, Project No.23-78-01247, https://rscf.ru/project/23-78-01247/
For citation: Romanova A.A. Networked distributed storages for data and digital technologies in geological prospecting, mining and management of mining projects. Russian Mining Industry. 2025;(2):154–162. (In Russ.) https://doi.org/10.30686/1609-9192-2025-2-154-162
Article info
Received: 17.01.2025
Revised: 17.03.2025
Accepted: 24.03.2025
Information about the author
Anastasia A. Romanova – Cand. Sci. (Econ.), Research Fellow at the Scientific and Educational Laboratory of the Cutting-edge Technologies, Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation; Associate Professor at the Department of Informatics and Computer Engineering for Food Production, Russian Technological University (ROSBIOTECH), Moscow, Russian Federation; 1st-year Master’s student, Gubkin University, Moscow, Russian Federation; e-mail: romanovargaymsha@mail.ru
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