The technogenic impact of mining on the environment is analyzed and the transition to geotechnology with stowing to reduce the impact of mining operations is proposed. The results of the research work devoted to the justification of parameters of the development of salt deposits with stowing and the definition of the influence of stowing on the dynamics of deformation of the underworked rock massif are presented. The relevance of research aimed at creating a safe and efficient technology for the transition from systems with natural maintenance of stoping space to systems with stowing has been substantiated. The results of studies on qualitative and quantitative assessment of the state of the rock massif (by the finite element method using FLAC3D software), worked out by combines, are given and the dynamics of the impact of mining operations on the rock mass and the change in the maximum stresses during the hardening of the stowing in the chambers are revealed. The numerical modeling method is used to analyze the conditions of change in the state of the underworked rock mass, to establish the mechanisms of its deformation at various stages of development. It is recommended to use this approach for geotechnical assessment of the rock mass state in conditions of using development systems of different classes.

The evaluation and prediction of reliability and testability of mining machinery and equipment are crucial, as advancements in mining technology have increased the importance of ensuring the safety of both the technological process and human life. This study focuses on developing a reliability model to analyze the controllability of mining equipment. The model, which examines the reliability of a mine cargo-passenger hoist, utilizes statistical methods to assess failures and diagnostic controlled parameters. It is represented as a transition graph and is supported by a system of equations. This model enables the estimation of the reliability of equipment components and the equipment as a whole through a diagnostic system designed for monitoring and controlling mining equipment. A mathematical and logical model is proposed to calculate availability and downtime coefficients for different structures within the mining equipment system. This analysis considers the probability of failure-free operation of the lifting unit based on the structural scheme, with additional redundancy for elements with lower reliability. The availability factor of the equipment for monitoring and controlling the mine hoisting plant is studied for various placements of diagnostic systems. Additionally, a logistic concept is introduced for organizing preventive maintenance systems and reducing equipment recovery time by optimizing spare parts, integrating them into strategies aimed at enhancing the reliability of mine hoisting plants.

The article proposes to consider the problem of comprehensive assessment of project risks as applied to the energy industry. The authors of the research focused on the description of the applied solution. A real investment project on replacement of a bark boiler at Mondi Syktyvkar enterprise was chosen as an object for testing the results. We proposed to divide the risks accompanying the project into 2 categories: risks for which there is necessary and statistical information for their quantitative assessment and risks for which this information is absent. As a technique of a quantitative assessment of risks from the first category it is expedient to apply a method of Simulation modeling of Monte Carlo. In this case, the authors of the article conducted a significant analysis of existing methods for assessing project risks and the choice of the Monte Carlo methodology is due to the practical orientation of the study. In practice, the real enterprise is quite problematic to use more complex methods of assessment, such as methods of Real Options or methods of fuzzy logic, neural networks, etc. As a method of qualitative risk assessment (from the second category) the method of expert evaluation with subsequent calculation of risk premium in the discount rate was chosen. This method is common in practice and easy enough to implement. According to the results of the analysis (statistical and expert) the most dangerous risks of energy projects were identified: Production and technological risks (the risk of choosing the wrong technological scheme, the risk of reducing the quality of internal controls, the risk of incorrect calculation of the design capacity of energy production, the risk of industrial safety), security risks (the risk of hacking attacks on information systems of energy enterprises), as well as country risks. Among the most influential risks (based on the analysis of their impact on the main technical and economic indicators of the project) are: the risk of rising prices for purchased gas (fuel), the risk of high volatility of the dollar exchange rate. The results of the study were used in a real project and the risk assessment methodology was implemented in the project activities of Mondi Syktyvkar enterprise.

The scientometrics has become the most important tool to evaluate and analyze the performance of scientists, cooperation between universities, the impact of public funding of science on the results of national research and development, the effectiveness of education, and others. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. The purpose of this article is to provide an up-to-date overview of the various tools available for scientometric analysis, including data sources, performance analysis and visualization tools. In this study performed a scientometric analysis based on 21,180 publications from the Scopus database was conducted with only published articles in mining industry between 1960 and 2023. It also revealed that 77% of the articles were published in journals and only 2.6% corresponded to review studies. Using network analysis in VOSviewer, the publications were grouped by keywords into 5 clusters with Strength. Cartographic analysis confirmed the descriptive findings and visualized the co-authorship of authors. Using bibliographic linkage analysis, the semantic relationship between authors and their associated institutions and countries was investigated (consist of 38 clusters with 404 link). Average number of citations per keyword (3.2) will allowed the most cited area is devoted to health risks. Recent studies have focused on dust and lung diseases which can pose a serious threat to the life and health of mine workers, therefore risk of coal dust explosions, which in result poses a direct risk of injury or even loss of life.

The environmental impact and occurrence of frequent ecological disasters have prompted a reassessment of societal values in the modern era. There has been a shift in the economic model, moving away from the pursuit of extensive growth towards a sustainable development model that prioritizes the preservation of the natural balance. This issue is of particular relevance in regions where mining activities are prevalent. In such regions, mining enterprises exert a considerable burden on the ecosystem, acting as significant sources of industrial waste. In light of the aforementioned considerations, the objective of this study is to develop a model for assessing the efficiency of industrial geo-resource recycling, taking into account both environmental and economic factors. The methodology is founded upon the principles of the efficient and comprehensive exploitation of natural and industrial geo-resources, in alignment with the tenets of sustainable development and the theoretical tenets of a cyclic economy. The methodology for assessing the efficiency of geo-resource recycling is based on the following three principal analytical approaches: economic and statistical, structural and logical, and comparative. The article examines the genesis of industrial waste, delineates the divergent patterns of the accumulation and utilization of mining waste, and classifies categories of industrial waste. The principal stages of the feasibility study are delineated, an algorithm is devised, and a model for evaluating the efficacy of industrial raw material recycling is proposed. The enumerated factors facilitate the recommendation of the model in the selection of the most optimal investment project in industrial geo-resource recycling.