In world practice, the role of reproduction of raw material base of oil production by implementing modern methods of oil recovery enhancement (thermal, gas, chemical, microbiological) on the basis of innovative techniques and technologies is rapidly growing and is becoming more important. It is concluded that at present, the priority of increasing oil reserves in world oil production is the development and industrial introduction of modern integrated methods of enhanced oil recovery, which can provide a synergistic effect in the development of new and developed oil fields. This article presents a review and comparative analysis of theoretical and practical methods of improving oil recovery of conventional and unconventional reservoirs. The paper examines in detail methods of improving oil recovery, taking into account the factors of enhanced oil recovery of oil reservoirs. Considered the main methods and technologies currently used to develop oil fields and recommendations for their effective use, taking into account the variety of external factors of oil production: the geological structure of the reservoir, its volume, and properties of oils. It is shown that there is no universal method of oil reservoir development, and it must be chosen after a thorough feasibility study among several proposed models. When describing the methods of enhanced oil recovery, special attention is also paid to the physical processes that occur as a result of applying the technology. In conclusion, the positive and negative characteristics of the presented methods included in EOR are presented, and recommendations that may influence the choice of practical solutions for engineers and oil producers are given. Conclusions are made that development systems, placement and choice of operating mode of wells essentially depend on the geological structure of the reservoir, its volume and properties of oils. An important role in this is the construction of a geological model of the production facility. The used hydrodynamic models of development are based on physical laws, about which oil producers sometimes don’t even suspect, and the authors of the models are not always able to convey it to the real producers. The authors consider it reasonable to make a logical generalizing conclusion that understanding processes occurring in the reservoir and taking appropriate measures for optimization and intensification of oil production will allow making oil production as effective as possible.

Balancing the production and consumption of electricity is an urgent task. Its implementation largely depends on the means and methods of planning electricity production. Forecasting is one of the planning tools since the availability of an accurate forecast is a mechanism for increasing the validity of management decisions. This study provides an overview of the methods used to predict electricity supply requirements to different objects. The methods have been reviewed analytically, taking into account the forecast classification according to the anticipation period. In this way, the methods used in operative, short-term, medium-term, and long-term forecasting have been considered. Both classical and modern forecasting methods have been identified when forecasting electric energy consumption. Classical forecasting methods are based on the theory of regression and statistical analysis (regression, autoregressive models); probabilistic forecasting methods and modern forecasting methods use classical and deep-machine-learning algorithms, rank analysis methodology, fuzzy set theory, singular spectral analysis, wavelet transformations, Gray models, etc. Due to the need to take into account the specifics of each subject area characterizing an energy facility to obtain reliable forecast results, power consumption modeling remains an urgent task despite a wide variety of other methods. The review was conducted with an assessment of the methods according to the following criteria: labor intensity, requirements for the initial data set, scope of application, accuracy of the forecasting method, the possibility of application for other forecasting horizons. The above classification of methods according to the anticipation period allows highlights the fact that when predicting power consumption for different time intervals, the same methods are often used. Therefore, it is worth emphasizing the importance of classifying the forecast over the forecasting horizon not to differentiate the methods used to predict electricity consumption for each period but to consider the specifics of each type of forecasting (operative, short-term, medium-term, long-term).

One of the significant factors in the sustainability of education is the development of inclusive education. An inclusive educational space implies openness and accessibility of education for students, regardless of their educational needs. Inclusive education also means a partnership between students and teachers. A teacher is a living person whose socio-emotional skills and professional abilities are the basis for the sustainability of education and student development. This article is devoted to studying teachers’ competence and psychological readiness at schools and higher educational institutions to work with students with special educational needs. This article includes the results of a sociological study conducted in September 2022 and is devoted to the readiness of schoolteachers and university professors for inclusive education (N = 125). The general statistical calculation was carried out based on information processing using the Vortex program version 10.0. Universities and schools are located in large administrative centers of Russian regions with a population of about a million. The relevance of this study is due to the relationship of sustainability with the ideas of inclusive education, manifested in its goal of achieving students’ educational levels established by the state and the humanistic concept of equality of opportunity in the process of professional implementation and self-determination of the individual.

The article reviews the existing methods of increasing the energy efficiency of electric transport by analyzing and studying the methods of increasing the energy storage resource. It is grouped according to methods, approaches, and solutions. The most effective methods and ways of their implementation are identified. General methods of increasing energy efficiency, methods of increasing recuperation during braking, methods of energy-efficient energy consumption, the use of energy-saving technologies, and improving the energy efficiency of the traction drive are considered. The purpose of this work is to identify the main operating factors on the basis of a critical review of existing methods for assessing the technical condition of batteries and experimental results on the degradation of lithium-ion batteries. Using the great experience of the research group in the field of modeling, diagnostics, and forecasting of life of electric cars, as well as their intellectual management, the new theoretical and practical methods of integrated assessment of the parameters of the traction battery and state of charge, which are operated in the heavy forced regenerative regimes of electric traction, are created and proposed. A great role is played by the construction of the transport model. The development is based on physical laws that passengers and vehicle owners are unaware of. For each model there is a different area of application, and what is suitable for one object may not be suitable for another. The overview shows that there is no one-size-fits-all way to improve energy efficiency. It is necessary to make a choice among several proposed models after a thorough feasibility study.

Underground mining, including underground coal mining, is accompanied by accidents and fire hazards that pose a threat to the life safety of miners. The fire hazard increases with an increase in the mining depth. Currently, most accidents in coal mines are mine fires. The cost of eliminating mine fires is 80–95% of the cost of eliminating all accidents occurring at mining enterprises. Therefore, the problem of developing a new methodology for modeling the ventilation network parameters of the mine to increase the reliability of controlling the aerogas mode at the excavation site is very relevant. The comprehensive analysis and assessment of gas-dynamic processes in coalmines under study were carried out using the methods of probability theory and mathematical statistics. Spatial data were processed using spline interpolation in “gnuplot”. As a result, a generalized expression for the transfer functions of coalmine objects, taking into account delays, was developed, including the description of dynamic properties of mining sites under various operating modes. The principal possibility of using a graphical method for estimating additional parameters of the sections of the ventilation system branches has been proved due to the alignment of their profiles at an equivalent distance relative to an arbitrary analogue. The improved method of spatial modeling was used to determine the gas-dynamic characteristics through additive gas-dynamic processes. The studies have been carried out and the method for managing the process of changing connections between devices (controllers–switches) of the technical system was developed in order to obtain greater reliability for safe mining. In subsequent studies, there is an issue of more detailed clarification of the peculiarities concerning the interrelations between the studied parameters in several projections of the response space.

The relationship between people and nature is one of the most important current issues of human survival. This circumstance makes it necessary to educate young people who are receptive to global challenges and ready to solve the urgent problems of our time. The purpose of the article is to analyze the experience of the environmental behavior of young people in the metropolis. The authors studied articles and monographs that contain Russian and international experience in the environmental behavior of citizens. The following factors determine people’s behavior: the cognitive capabilities of people who determine the understanding and perception of nature and the value-affective component that determines the attitude towards nature. The next task of the study is surveying young people through an online survey and its analysis. The research was realized in Ekaterinburg, the administrative center of the Sverdlovsk region (Russia). The study of the current ecological situation in Ekaterinburg made it possible to conclude that the environmental problem arises not only and not simply as a problem of environmental pollution and other negative influences of human economic activity. This problem grows into transforming the spontaneous impact of society on nature into a consciously, purposefully, systematically developing harmonious interaction with it. The study results showed that, from the point of view of the youth of Ekaterinburg, the city’s ecological situation is one of the most pressing problems. Despite minor improvements over the past 3–5 years, this problem has not lost relevance, and regional authorities and city residents should be responsible for its solution. Young people know environmental practices, but they often do not apply them systematically. Ecological behavior is encouraged and discussed among friends/acquaintances. The key factors influencing the formation of environmental behavior practices are the mass media and social networks. The most popular social network for obtaining information on ecological practices among young people is Instagram, and the key persons are bloggers. This study did not reveal the influence of the socio-demographic characteristics of young people on the application of eco-behavior practices, which may indicate the need for a survey of a larger sample.