The operation of coal mines is intricately linked with emitting a large quantity of coal mine methane, and in most cases, this methane releases into the atmosphere. In total, according to statistics, coal mining enterprises emit 8% of anthropogenic methane, determining a contribution to greenhouse gas emissions to the amount of 17%. There are various means for coal mine methane utilization. In this study, the concept “Coal-Energy-Information” is proposed. This concept implies both the construction of data processing centers on the industrial sites of coal mines and the usage of coal mine methane. Coal mine methane can be used as a primary energy source for the energy supply of data processing center consumers as well as coal mine consumers with necessary energy resources (electricity, heat, and cooling). Within the framework of the proposed concept, three options of coal mine methane utilization are considered. The first option is the use of gas genset for electrical and thermal energy generation (cogeneration) and their usage for coal mine and constructed data processing centers and consumers’ power supply. The second option is absorption refrigerator usage (with coal mine methane direct burning) for cooling the IT equipment of constructed data processing centers. The last one is the use of a gas genset and absorption refrigerator (trigeneration) for constructed data processing centers’ and coal mine consumers’ energy supplies (electricity, heat, and cooling). In conclusion, it is noted that proposed concept is closely correlated with the program for the development of the coal industry in Russia for the period up to 2035, since it allows creating a base for the implementation of innovative technologies based on digital platforms that ensure the development of coal mining technology without the constant presence of personnel in underground mining facilities.

This study focuses on identifying optimal locations for drilling pre-mining methane drainage wells for obtaining the joint purpose of enhancing underground mining safety and optimizing coalbed methane extraction. Based on the advanced mathematical modeling techniques, a comprehensive analysis of geomechanical data was conducted. Laboratory results of core samples from test wells drilled in the southern part of the Tutuyasskaya area of the Kuznetsk Basin in Russia were utilized. A detailed analysis of core sample data was conducted, followed by the generation of grids and the creation of predictive grid-based maps for geospatial analysis of the physical and mechanical properties changes of the three studied lithotypes. The modeling stage was carried out applying the Surfer Golden Software, employing interpolation methods, with the Kriging algorithm selected due to its effectiveness in modeling anisotropic spatial structures. Through the creation of predictive distribution maps, the study successfully identifies the most promising and prioritized zones for drilling to extract larger volumes of coalbed methane, particularly under conditions of limited initial data.