Article
Article name Contemporary Challenges in Predictive Metallogenic Research and Pathways to their Solution through the Establishment of a Specialized Laboratory
Authors Ustinov S.A. Candidate of Geological and Mineralogical Sciences, Deputy Director for Science, Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry of the Russian Academy of Sciences, Moscow, Russia; Head of the Laboratory of Digital Methods for Forecasting and Monitoring of Mine­ral Resources, stevesa@mail.ru
Petrov V.A. Corresponding Member of the Russian Academy of Sciences, Doctor of Geological and Mineralogical Sciences, Director, vlad243@igem.ru
Martynenko O.O. Candidate of Chemical Sciences, Rector, martynenko.oo@zabgu.ru
Avdeev P.. ,
Fedotov G.S. Candidate of Technical Sciences, Vice-Rector for Science and Innovation, fedotovgs@zabgu.ru
Bibliographic description Ustinov SA, Petrov VA, Martynenko OO, Avdeev PB, Fedotov GS. Contemporary Challenges in Predictive Metallogenic Research and Pathways to their Solution through the Establishment of a Specialized Laboratory. Transbaikal State University Journal. 2026;32(1):35-53. (In Russian). https://www.doi.org/10.21209/2227-9245-2026-32-1-35-53
Category Earth and Environmental Sciences
DOI УДК 553:528.8
DOI https://www.doi.org/10.21209/2227-9245-2026-32-1-35-53
Article type Original article
Annotation Amid the depletion of easily accessible deposits and the increasing complexity of geological exploration tasks, predictive metallogenic research faces systemic challenges, including difficulties in integrating heterogeneous geological data, limitations of traditional methods in handling large volumes of information, low speed of updating predictive models, and a shortage of cross-disciplinary personnel, which determines the relevance of this study. The object of the research is the process of PMR in the context of digital transformation. The aim of the work is to systematize contemporary problems of PMR and substantiate ways to solve them based on the operation of the Laboratory of “Digital Methods for Forecasting and Monitoring of Mineral Resources” established at the Transbaikal State University in collaboration with the Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry of the Russian Academy of Sciences. To achieve this aim, the following objectives are revealed: identifying key methodological limitations of modern PMR practice, analyzing the potential of digital technologies to overcome them, forming the concept and scientific-practical directions of the laboratory’s work, and formulating expected results and development prospects. The methodological basis is a system project-analytical approach, including diagnostics of the problem field, solution design, identification of implementation tools, and prognostic assessment of effectiveness. As a result, ten key problems of PMR have been identified and the ways to solve them based on the aforementioned laboratory have been proposed. A concept for the laboratory has been developed and four main scientific-practical directions have been defined: the creation of a regional GIS, development of predictive algorithms based on machine learning, implementation of Earth remote sensing data analysis methods, and three-dimensional modeling. Special attention is paid to training a new generation of specialists through the integration of research and educational activities. The conclusions indicate that the establishment of the laboratory will enable a transition to a new paradigm of PMR based on digital technologies, which will increase the geological exploration efficiency, strengthen the mineral resource base of the regions, and ensure the training of in-demand specialists with cross-disciplinary competencies.
Key words predictive metallogenic research, digital technologies in geology, geographic information systems, Earth remote sensing, 3D geological modeling, machine learning, big data analysis, personnel training, Transbaikal State University, Transbaikal Territory, Far East of the Russia
Article information
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Full articleContemporary Challenges in Predictive Metallogenic Research and Pathways to their Solution through the Establishment of a Specialized Laboratory