Coal Mining Enterprises Research Articles

Прогнозування обсягів випуску вугільної продукції у повоєнний період в Україні

The purpose of the study is to adjust the previously developed forecasts of the development of the Ukrainian coal industry, as well as to determine the appropriate volumes of coal production for the energy sector and the country's economy as a whole. Due to the loss of all mines in Luhansk region and some mines in Donetsk region as a result of Russia's full-scale invasion of Ukraine, the forecast scenarios for the development of the coal industry of Ukraine for the period up to 2040 were adjusted. To adjust the forecast scenarios for the development of the coal industry, the software subsystem for forecasting coal production in Ukraine was used in the context of instability of the structure of the country's fuel bases arising from the effect of extraordinary force factors, in particular martial law, temporary occupation of the territory of Ukraine, and the. The software was created to enable a quick assessment of the impact of emergencies situations in the country on production volumes in the coal industry and to take them into account when developing forecasts of fuel supply to the economy and the country's energy balance as a whole. The software is created on the basis of databases detailing professional forecasts of the coal industry development by coal mining facilities, taking into account mining, geological, technological, economic and social features of coal mining enterprises, as well as possible scenarios of their technological re-equipment and optimization of production sites, and allows adjusting such forecasts by changing the expected production status of a mine in the event of force majeure. According to the adjusted scenarios, the volumes of coal production to meet the needs of the thermal power industry, metallurgical industry and other sectors of the economy for the period up to 2040 were determined. Keywords: coal industry, production, coal products, forecast, development, scenarios.

Features of occupational diseases caused by fibrogenic aerosols at enterprises in the Arctic

Introduction. Industrial dust aerosols with a predominantly fibrogenic effect remain an important risk factor for the health of the working population in the Arctic.
 The study aims to explore the features of the development, structure and prevalence of occupational diseases caused by fibrogenic aerosols at enterprises in the Arctic.
 Materials and methods. The authors have studied the archival data of the socio-hygienic monitoring "Working conditions and occupational morbidity" and the register of extracts from occupational disease records (Order of the Ministry of Health of the Russian Federation No. 176 dated 05/28/2001).
 Results. At enterprises in the Arctic in 2007–2021, fibrogenic aerosols ranked ninth (4.8%) in terms of the number of exposed workers, and fifth among harmful production factors in terms of the number of occupational diseases caused by their action (491 cases or 9.1%). They were characterized by the formation of employees of coal enterprises (83.1%), dominance in the structure of the pathology of chronic bronchitis (87.7%), etiological association with weakly fibrogenic aerosols (94.3%). The risk of diseases from exposure to fibrogenic aerosols in miners was higher than in metallurgical workers (RR=12.9; 95% CI 9.63–17.26; p<0.001), construction (RR=11.7; 95% CI 10.78–19.11; p<0.0001) and transport (RR=31.3; 95% CI 10.11–77.19; p<0.001) enterprises. For 15 years, researchers have observed a decrease in the number of diseases caused by the action of fibrogenic aerosols, and the risk of their development in 2007–2009 was higher than in 2019–2021: RR=2.10; 95% CI 1.19–3.71; p=0.009.
 Conclusion. In the prevention of occupational pathology from the effects of fibrogenic aerosols, the priority remains to improve dust suppression methods and respiratory protection equipment for sinkers, miners of the treatment face, machinists of mining machines and other specialists of coal mining enterprises in the Arctic

Modeling abrupt changes in mine water inflow trends: A CEEMDAN-based multi-model prediction approach

The global impact of coal mining on groundwater resources is increasingly prominent. Constructing waterproof curtains can mitigate the destruction caused by open-pit coal mining on groundwater resources. However, the construction of these curtains alters the hydrogeological conditions, leading to abrupt changes in mine water inflow that are challenging to predict. Traditional models like Long Short-Term Memory Neural Network (LSTM) and Gated Recurrent Unit Neural Network (GRU) demonstrate poor performance when predicting abrupt changes in data trends. This study proposes a multi-model prediction approach and a Self-Attention-based prediction model to address this issue. The proposed Approach, based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), leverages the strengths of multiple models for prediction. The research results found that the proposed Self-Attention model excels at forecasting abrupt shifts in data trends. Comparatively, the multi-model predictions show a 26.12 % improvement in Mean Absolute Error (MAE) and a 33.47 % improvement in Root Mean Square Error (RMSE) when compared to single-model predictions. This study not only unveils the potential of Self-Attention in predicting abrupt trend changes but also integrates it with traditional LSTM and Support Vector Machine (SVM) models. The multi-model prediction framework proposed in this study integrates the strengths of multiple models, achieving higher accuracy than a single model. Accurate prediction of mine water inflow is essential, as it can provide valuable insights for decision-making by coal mining enterprises and local regulatory authorities, offering a scientific basis for effective management.

Research on the decision-making method of coal order price and coal purchase quantity based on prediction

The imbalance of coal supply and uncertainty of demand changes have brought great challenges to the stable supply of coal. In the actual trading process, there are problems such as variable demand and incomplete information on both, and the trading process lacks scientific and effective guidance. Therefore, game theory is introduced into the coal trading process, and a decision-making method based on predicted coal supply and demand order price and coal purchase quantity is proposed. Firstly, the prediction method is introduced, and the Long Short Term Memory (LSTM) and Autoregressive Integrated Moving Average Model (ARIMA) model are used to predict the coal purchase quantity and coal price of the supply and demand, which provides a basis for the formulation of the initial scheme of the bilateral game between supply and demand. Secondly, a bilateral game model of coal supply and demand based on prediction is established, and a bilateral order game-solving strategy of coal supply and demand based on a genetic algorithm is proposed. Finally, the proposed method was verified by setting up three different example scenarios for thermal coal trading, and the optimal coal price and coal purchase quantity under equilibrium are solved, and the results showed that the profit of supply and demand is increased by 4.65% and 2.97%, respectively, and the calculation time is reduced by 21.12%, which improves the speed of solving the game model, maximizes the benefits of both the coal supply and demand sides and provides a theoretical basis for the scientific and efficient order formation of coal mining enterprises.

ПРОМЫШЛЕННЫЕ ОТХОДЫ ДЛЯ ЗАКЛАДКИ ВЫРАБОТАННЫХ ПРОСТРАНСТВ УГОЛЬНЫХ И РУДНЫХ ШАХТ КУЗБАССА

Coal mining and mining enterprises are the basis of the Kemerovo region economy. Comprehensive assessment of their impact on the environment showed the activation of exogenous geological processes: dips formed over previously liquidated inclined and vertical mine shafts; waterlogging; drawdowns and landslides. In the flooded goaf spaces of mines the structure of rocks is disturbed, the fixing material of the workings is destroyed, forming dips and subsidence troughs. Traditional goaf backfilling technologies using cement, sand and gravel make products more expensive, what makes coal mining and mining enterprises in the region unprofitable. A significant reduction in the cost of backfilling is possible with the introduction of industrial waste disposal technologies - using them as components of hardening mixtures in the development of coal and ore deposits. Taking into account the mining and geological conditions of Kuzbass - powerful steep and inclined deposits, compositions of cement-free laying mixtures with the use of steel slags for the industrial implementation of chamber and floor-chamber development system were developed. Key words: stowing mixtures, steel slag, strength, structure, burnt rock, sludge.

ЗАБЕЗПЕЧЕННЯ СТАЛОГО РОЗВИТКУ НА БАЗІ АНАЛІЗУ ТА ОЦІНКИ ХАРАКТЕРИСТИК ШАХТНИХ ВОД ЯК ДЖЕРЕЛ ВОДОПОСТАЧАННЯ ТА ОТРИМАННЯ ЦІННИХ РЕЧОВИН З ВІДХОДІВ ОПРІСНЕННЯ

Purpose. Rationale for the integrated use of the resource potential of coal-mining enterprises, which is aimed at obtaining technical and drinking water for their own production needs, local population and obtaining valuable substances from desalination waste. Methodology. Analysis of world experience, information about aquifer complexes in the Western Donbas mines, conducting chemical analyses of mine waters and salt mixtures obtained after using reverse osmosis products. Results. Based on the accumulated world experience in desalination of highly mineralized waters, it can be concluded that it is possible to effectively implement this experience at mining enterprises. Description of aquifer complexes has been given in detail using the example of the Zakhidno-Donbaska Mine of PJSC “DTEK Pavlohradvuhillia”, chemical analyses of water before and after discharge into settling ponds. A rational technological scheme for desalination, volumes of purified water obtained for drinking and technical water supply, as well as the quantitative and qualitative composition of the dry residue components of mine water desalination waste, and recommendations on possible use of products on the market have been determined. Scientific novelty. Analytical and laboratory studies have been conducted to determine the component composition of mine water desalination waste from Western Donbas coal-mining enterprises. It has been determined that the resulting salt product is a mixture of pure salts and valuable microcomponents, and the resulting distillate is fuel for the operation of hydrogen electrolyzers, which creates prerequisites for modern “green” hydrogen energy infrastructure. Practical significance. The qualitative and quantitative mine water parameters on complex use as an alternative source of water supply and obtaining related reverse osmosis products have been analyzed. The road services propose the consumption of the resulting salt products by municipal enterprises, and the dry distillation residue – to prevent dust. This approach allows solving not only the problem of desalination waste utilization, but also applying the separated valuable substances in the industrial market of food, medical, cosmetic, paint and varnish, chemical, as well as building materials, plastics and polymers production industries. Keywords: mine water, waste recycling, mineral resource, coal-mining enterprises.

Determination of composite fuel parameters in the operation of technogenic deposits of coal mining enterprises

The research provides the determining of the parameters for composite fuel in the operation of technogenic deposits at coal mining enterprises. The qualitative characteristics of technogenic raw materials are determined, and the parameters of technological processes to produce composite fuel are established: preparation (screening or grinding), physical and chemical influence on the state of raw materials, mixing, production, and drying (if necessary) to obtain suitable fuel. Based on the particle size distribution (as well as sedimentation analysis for waste fractions up to 50 μm) and chemical composition (with the determination of moisture, volatile matter, ash, and sulphur content) it was found that the physicochemical parameters for each type of industrial waste, when preparing them for use in the production of composite fuels, have been established. A technological classification of technogenic materials has been developed, which makes it possible to systematize technical issues in the implementation of preparation processes, physical and chemical influences, mixing, production, and drying to obtain suitable fuel.

Distribution and risk assessment of heavy metals in soil in the Yellow River Basin (Heze - Tai 'an section)

The presence of heavy metals in soil significantly impacts human agriculture and livelihood. The Yellow Rive plays a crucial role in the country's economic and social development as well as ecological security within its basin. After conducting measurements on the distribution of heavy metals As, Hg, Cu, Pb, Cd and Cr in the soil of Heze - Tai 'an section of the Yellow River Basin, the degree of soil heavy metal pollution in the investigation area was analyzed and evaluated using potential ecological risk index. The anal- ysis revealed that the concentration ranges of Cd, Cr, Cu, Pb, As and Hg were 0.054-1.109, 22.40-427.28, 6.00-108.40, 9-58.1, 1.5-46.8 and 0.002-0.706 mg/kg, respectively. The average value of the individual eco- logical risk index is in the following order: Cd > As > Hg > Cu > Pb > Cr. The ecological risk of Cu, Pb and Cr is low, while the risk of Cd and As is moderate, which is mainly caused by coal mining and chemical enterprises.

Research on the Application of Intelligent Diagnosis of Major Equipment Failures in Coal Mines

Abstract Currently, the implementation of a coal mine production safety monitoring system, capable of real-time monitoring of the safety condition of large coal mine equipment and timely dispatch management, is crucial for the efficient and safe operation of coal mine enterprises. This paper designs the coal mine major equipment failure process based on the rolling bearing’s vibration mechanism, analyzes the major equipment’s failure signal using both time domain and frequency domain analysis methods, and employs the intelligent fuzzy control method to identify the major equipment failure. We have designed and practically applied a real-time, multi-threaded, and comprehensive fault diagnosis and prediction system for coal mine major equipment, combining information from coal mine safety, production, and operation. The results show that the normal state’s time-domain amplitude approximates (-0.2, 0.2), and the time-domain waveforms all display periodic shock signals when the bearing sustains damage. The faulty vibration amplitude of the inner ring is within 0.08 ms 2 and the faulty vibration amplitude of the outer ring is within 0.44 ms 2, and the diagnostic accuracy using the method of this paper reaches 97.2%. This study demonstrates the effectiveness of remote monitoring and fault analysis of major equipment in coal mines, which effectively improves the equipment start-up rate and ensures coal mine production safety.

Comprehensive Evaluation of Coal Mine Production Safety Based on Fuzzy Comprehensive Evaluation

In view of the potential safety hazards existing in the production and operation process of coal mining enterprises, through expert consultation and comprehensive investigation, sort out the relevant risk factors, establish the corresponding coal mine production risk evaluation index system, conduct fuzzy comprehensive evaluation by combining AHP and fuzzy mathematical evaluation method, and calculate the weight of each index and the risk level of coal mine production, Finally, through a case study of a coal mine in Inner Mongolia Autonomous Region, the feasibility of the risk evaluation method is verified, which provides a theoretical basis for coal mine production enterprises to formulate risk management schemes and a reference for risk management of coal mine production industry.

Methodological Aspects of Reliability Assessment of Asynchronous Motors under Current Operation Conditions at Mineral Resources Enterprises

At present, the focus is on solving the urgent problem of reliable performance of power system elements and ensuring their efficient operation during mining. A methodological approach is considered that allows assessing the reliability level of low-voltage asynchronous electric motors in a coal mine with difficult geological and climatic mining conditions. The object of the study is asynchronous electric motors used at one of the enterprises of Siberian Coal Energy Company (SUEK) in Trans-Baikal territory. The main tool for implementing the research objectives was program MATLAB/Simulink. The purpose of the article is to study the influence of external operational factors on the service life of an asynchronous electric motor with a squirrel-cage rotor. A comprehensive solution to issues aimed at maintaining the reliability level of asynchronous electric motors is one of the priority areas, mainly aimed at ensuring the effective functioning of a coal mining enterprise.

Research on Management Informatization Strategy of Coal Mine Enterprises

At present, in order to improve the efficiency of operation and management of coal mining enterprises, it is necessary to strengthen the integration of big data technology and enterprise management, use modern technology and science to effectively carry out work planning, and eliminate the phenomenon of non-compliance in the process of enterprise operation and management. Coal mining enterprises need to control the operation and management process, ensure the efficiency of enterprise operation and management, and also give full play to the maximum value of big data technology. In addition, it is necessary to improve the comprehensive quality and work ability of management personnel, so that management personnel can innovate a variety of management models, establish a team of management personnel, and improve the level of management.

Analysis on the Causes and Countermeasures of Mechanical and Electrical Transportation Accidents in Coal Mines

There are many types of mechanical and electrical equipment involved in current coal mine mechanical and electrical transportation, and many workers are not familiar with the operation of mechanical and electrical equipment. Improper operation often leads to operational failures of coal mine mechanical and electrical equipment. The important reason for this phenomenon is that the transportation management of underground mechanical and electrical equipment is not in place, and there may also be incorrect and unreasonable management methods. This situation will directly hinder coal mining work and exacerbate the threat to the safety of workers' lives. Therefore, coal mining enterprises must develop good management measures for underground mechanical and electrical equipment based on the current operating status of the equipment and the company's own development status, reduce operational accidents of mechanical and electrical equipment, and improve normal and stable production in the coal mine.

Accident case-driven study on the causal modeling and prevention strategies of coal-mine gas-explosion accidents: A systematic analysis of coal-mine accidents in China

Post-accident prevention measures in Chinese coal mining enterprises were based on single accident case training, and the learning of accident information is limited to the violation in the accident or incident. The nature of accidents proves that accident prevention encompasses not only visible violations and hazardous materials, but also deep-rooted organizational factors. How to obtain valuable and learnable safety information from limited accident date remains a key issue. This study investigated the use of a modeled accident-prevention framework for combining accident case data to construct an accident causation network for targeted data mining, which in turn could help obtain accident-prevention measures with more control values. The results of the study showed that (1) A framework for categorizing the factors influencing coal mine accidents, including four layers and 42 indicators, was identified through a literature review and factor extraction from 86 coal mine accident reports. (2) A causation network model of gas-explosion accidents comprising 163 accident causation nodes and 681 connected edges was established, and SP02(failure to implement the stop production instruction), SA01 (poor awareness of system compliance), PB03(fluke psychology) and SH01(habitual violation of procedures and rules) were the most influential accidental causes in the accidental network. (3) An F-Score-based attack strategy for accident-causing networks was proposed, which is superior to generalized attack strategies for reducing accident network connectivity and more conducive to rapidly obtaining accident prevention priorities. (4) A gas explosion accident prevention strategy based on the combination of accident network model and dynamic Bayesian network was constructed, and inference simulation was performed for four cases such as IA01 (unchecked gas concentration), verifying that it has the possibility of predicting accident hazards in the workplace. This study provided accident data-driven prevention interventions to reduce future mining accidents.

The Mine Emergency Management Capability Based on EWM-CNN Comprehensive Evaluation

By establishing an evaluation system for emergency management capability for coal mine enterprises, the problems and shortfalls in coal mine emergency management can be identified. Moreover, this evaluation method holds promise in enhancing the ability to respond to emergencies in coal mines. The current research conducts both theoretical analysis and field research to determine and extract 26 factors that impact the emergency management capability of coal mining companies. The collected data is analyzed using SPSS version 24.0 and undergoes reliability and validity assessments. Subsequently, the entropy weight technique is utilized to determine the weight of individual evaluation system indices. As an effective evaluation tool, the trained convolutional neural network (CNN) model can accurately and effectively predict the satisfaction of the samples outside the training sample set, providing suggestions for improving coal mine emergency management. The trained model is employed to make empirical predictions and analyze the XY coal mine. The findings indicate that the overall emergency management capacity of the coal mine is II, which is at a good level. The evaluation results are consistent with the actual situation, and suggestions are provided for improving the emergency management ability of coal mines.

Coal Gangue Target Detection Based on Improved YOLOv5s

Coal gangue sorting is a necessary process in coal mine production, and removing gangue is the basis for the coal production of clean energy; it is also an important approach to reduce the cost of washing, improve the grade of finished coal and increase the economic efficiency of coal mining enterprises. For the problem of high similarity and low-degree dynamic recognition of coal and gangue, a coal gangue target detection method based on improved YOLOv5s is proposed. Based on the YOLOv5s network, the decoupled head and SimAM attention mechanism are introduced and the CSP module in the neck part of YOLOv5s is replaced with the VoV-GSCSP structure. The experimental results show that the proposed method improves the mAP value by 6.1% over YOLOv5s in the gangue target detection task, while maintaining a higher detection speed. The coal gangue classification precision reaches 99.7% when tested on 1479 images. Compared with YOLOv5 series, YOLOv7 series, SSD and Faster-RCNN, the proposed method invariably yields higher precision and detection speed to meet the requirements of real-time detection. The experiments prove that the method proposed in this paper can be applied to the coal gangue sorting industry for fast and high-precision identification of coal gangue.

A new approach to producing a prospective energy resource based on coalmine methane

The paper describes topical issues of a prospective method for coalmine methane utilization for obtaining an additional valuable energy resource for the regional development of coal-mining areas. It is noted that the development of the extraction of methane resources is very urgent and is of great economic importance for ensuring the energy independence of Ukraine. The experience and technologies of using methane and coalmine gas by global coal-mining companies are analyzed. Modern prospects and opportunities for using coal gas are studied. There is a need to transform the coalmine methane removal system and directions for maximizing the use of its resources in a wide range of concentrations in the composition of gas-air mixtures based on the development of innovative technologies to improve the efficiency and cost-effectiveness of functioning coal-mining enterprises. Attention is focused on the advantages of using gas hydrate technologies for obtaining additional energy resource under conditions of changing coalmine methane concentrations. The specifics of the process of mixed gas hydrate formation from gas mixtures of various geneses have been studied. It has been revealed that it is the coalmine gas-methane composition that determines and forms the basic condition for hydrate formation. The thermobaric conditions for the hydrate formation process at different methane concentrations in gas mixtures of degassing systems have been experimentally determined. The results obtained are the basis for further research on efficiency of creating gas hydrates from coalmine methane and determining its minimum permissible concentration in the gas mixture of degassing systems according to the technological and economic criteria of hydrate formation.

Моделирование и управление параметрами поточных технологий с локальным гидротранспортом и обезвоживанием угля на основе анализа структуры проходческого цикла

Introduction. The article discusses the issues of modeling various variants of flow line tunneling technologies based on an analysis of the structure of the tunneling cycle. Materials and methods. As research methods, the authors used: analysis of the structures of the tunneling cycle of continuous mining technologies, mathematical modeling of processes and operations, and industrial testing of options for implementing the proposed technological tunneling systems. Results. The results obtained during the implementation of the economic and mathematical model for the variant of the flow technology presented above showed that the following parameters of the technological scheme are optimal: technical productivity of the combine – 1.1 m3/min; process water consumption – 200 m3/h; number of drilling rigs – 2; the number of miner units is 6. The speed of development with these parameters of the flow technological scheme will be 880 m3/month, the labor productivity of miners is 14.8 m3/person during the work shift. Conclusion. The article summarizes the results of research on the development, justification of parameters and implementation of various options for in-line technologies for carrying out inclined workings with a hydraulic slope for various purposes for a wide range of conditions of their application. Resume. Implementation of the model proposed by the authors made it possible to determine the primary area of application of the considered version of the flow technology for carrying out preparatory workings in relation to the mining and geological conditions of the Kuzbass mines. Variants of the considered technological schemes for carrying out workings were implemented during the mining of reserves of the Anzherskaya-Yuzhnaya-3 mine, during the underground mining of reserves of the Listvyansky and Kedrovsky open-pit mines located in the Kemerovo region of the Russian Federation and the implementation of a project for the combined mining of a graphite deposit in middle Vietnam.Suggestions for practical application and direction for future research. The materials of the article may be useful for scientific and design organizations, coal mining enterprises in modeling and implementing precision mining technologies.

ВІД РЕСТРУКТУРИЗАЦІЇ ВУГІЛЬНОЇ ГАЛУЗІ ДО СПРАВЕДЛИВОЇ ТРАНСФОРМАЦІЇ ВУГІЛЬНИХ РЕГІОНІВ: ДОСВІД І ПЕРСПЕКТИВИ

Досліджено загальні підходи діяльності вугледобувних підприємств, які тривалий час генерували основний економічний потенціал окремих територій, забезпечували зайнятість мешканців і утворювали вугільні регіони. Визначено, що реструктуризація вугільної галузі за програмою закриття шахт не була достатньо успішною, що потребує відходу від суто галузевого принципу і переходу до трансформації вугледобувних регіонів на територіальному, регіональному і національному рівнях. Здійснено аналіз проблем і переваг економічного, соціального, екологічного, технічного впливу, які мають місце у вугільних регіонах у період експлуатації і при закритті шахт, а саме необхідність їх збалансування, що визначає напрями й можливості справедливої трансформації у територіальних громадах. Нині змінюються пріоритети і підходи до формування енергетичної політики України, які визначаються зменшенням використання викопних видів палива і розширенням можливостей зеленої енергетики. Обґрунтовано маркетинговий підхід до позиціонування проблем території відносно різних цільових груп територіальних громад (населення, бізнесу, відвідувачів, інвесторів), на основі якого більш ефективно і цілеспрямовано витрачатимуться кошти на реалізацію проєктів місцевого розвитку справедливої трансформації. Запропоновано механізм комплексного системного підходу стосовно дослідження, аналізу, оцінки та інструментів вирішення проблем вугільних регіонів із застосуванням принципу пріоритетності в кожній територіальній громаді. Досліджено характеристики проєкту справедливої трансформації вугільних регіонів, створення Фонду справедливої трансформації, а також стратегічного підходу до реформування енергетичної галузі України як однієї з основ державної регіональної політики, що реалізується в територіальних громадах.

Strategic perspectives in the coal industry of the Russian Federation

The article is devoted to the analysis and defi nition of priority strategic directions of development of the coal industry of the Russian Federation in conditions of instability and sanctions pressure. The authors present scientifi c grounds for methodological approaches to strategic management of the coal industry of Russia that would ensure a strategic breakthrough in development in the long term in the current crisis conditions. Working out the key government strategic decisions should affect fi scal, investment, technological and foreign trade strategies. The authors justify the necessity of changes in the legal regulation concerning the improvement of the mechanisms for providing preferential trade fi nance conditions to enterprises and the opportunity of the presidency of trading companies in the zones with a special administrative regime. It is recommended that the approach to taxation of ship chartering services should be simplifi ed, and the distribution of freight capacity to the ports of the Far East and increase of the processing capacity of such terminals to the actually confi rmed capacity should be consolidated by the Government. It is suggested that the logistic ship traffi c chains should be redirected to the eastern ports, i.e. the ports of the Asian Pacifi c market. It is regarded as strategically important to extend the regime of territories of advanced development, which have justifi ed the possibility of effective development of the region, for the resident manufacturers of coal products who have confi rmed their effectiveness; to provide the coal mining companies with the opportunity of gaining the priority right to use mineral resources in license areas adjacent to its own facilities. It is essential to ensure system government support of scientifi c developments in improving the means and methods of geological exploration. Implementation of the suggested strategic perspectives in coal industry will ensure sustainable development of coal mining companies in the long-term perspective. Further research should be directed towards the search for mechanisms of identifying the most effective strategies of development of coal mining enterprises in unstable conditions.