Networked distributed storages for data and digital technologies in geological prospecting, mining and management of mining projects

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.

Authors

Publication Details

Journal
Mining Industry Journal (Gornay Promishlennost)
Published
2025-05-04
DOI
https://doi.org/10.30686/1609-9192-2025-2-154-162
Citations
1
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
1.34

Funders

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article

Networked distributed storages for data and digital technologies in geological prospecting, mining and management of mining projects

A.A. Romanova
1 citations
Mining Industry Journal (Gornay Promishlennost)
Geological Modeling and Analysis
1.34
article

Networked distributed storages for data and digital technologies in geological prospecting, mining and management of mining projects

A.A. Romanova
article en
1 citations

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.

Mining Industry Journal (Gornay Promishlennost)(2/2025)
Russian Foundation for Basic Research
Openalex Percentile: Top 21%
Geological Modeling and Analysis
1.34
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