The assessment of impact of oil production economic activities on land pollution in Russia contributes to evolutionary management decision making. Oil industrial pollution affects negatively flora and fauna. Thus, its important to identify the level of its exposure and danger, the site of contamination. A system approach is needed. When studying the environment, its necessary to consider the presence of risk situations and stochastic irreversible changes. Its essential to identify the nature and type of soil contamination with petroleum products using high-tech tools, intellectual procedures. The work considers modeling of such situation, forecasting and identification of oil contaminants. The submodel of optimal termination of monitoring is also considered. Ending monitoring of environmental optimization will result in lower monitoring costs, since monitoring oilcontaminated environments is an expensive and complex technological mechanism, often requiring satellite data. The proposed algorithm for modeling and system analysis is based on situational modeling. Evolutionary modeling allows to adapt the procedure (methodology) of forecasting and assessment to environmental risk factors. It increases the accuracy (formalization and evidence) and completeness of conclusions, the efficiency of situation analysis, which affects manageability of risk both for the oil complex and for individual enterprise in the industry. The results of the research may be used for development of software tools, in particular expert and predictive systems. Situational models are needed when oil companies are solving multi-criteria and multifactor problems.

The assessment of the impact of the economic activities of the Russian oil-producing complex on land pollution contributes to the adoption of evolutionary management decisions. It also helps to take into account the opinion of society, the Ministry of Emergency Situations. In the oil complex, industrial pollution negatively affects flora and fauna. It's important to identify the level of exposure, the degree of its danger, the location of the contamination. The work deals with the methodology, information-logical and mathematical model of solving the above problem. The main result of the work is a system and procedure (technique) for analyzing the results of monitoring and forecasting of land cover take into consideration the sanitary and hygienic consequences of residual content of petroleum products. As a result of the system analysis, an approach to the construction of alternative solutions has been proposed, taking into account not only permissible pollution standards, but also environmental, sanitary and epidemiological norms and assessment methods. The emergence of soil systems, their categories, is taken into account. In particular, (in importance) risks for soil cover-morphological, bio-physical-chemical, ecological-health, toxic influence and irreversible processes and bifurcations, including taking into account regional peculiarities and restoration potential of soil, are considered. Proposed algorithm of simulation and system analysis is based on situational modeling. Evolutionary modeling allows you to adapt the prediction and assessment procedure (methodology) to the risk factors of the environment. It increases accuracy (formalization and evidence) and completeness of conclusions, efficiency of situation analysis, which affects manageability of risk both for oil complex and for individual enterprise of the industry. The results of the work may be used for the development of software tools, in particular expert and predictive systems. Situational models are needed when oil companies are addressing multi-criteria and multi-factor decision-making challenges.

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The goal is to consider the possibilities of a virtual educational ecosystem using mobile devices, interactions of students and teachers, faculties and laboratories of the university, interactive activation of educational material and monitoring of the student learning process. The research methodology includes methods of system analysis, synthesis, decision-making, multi-agent systems and situational modeling. Results of the work: 1) a systematic interpretation of the category "mobile training" is proposed, its "pros" and "cons" are classified; 2) an informological scheme and a methodological scheme of mobile training are proposed; 3) practical examples of training (on the example of training managers in the field of tourism) using the organization of modeling, independent work of students are considered; 4) shows examples of approaches to making team business decisions and conducting situational modeling; 5) a systemically significant conclusion was made that simple, auxiliary tasks and simple memorization of facts students transfer to independent work, freeing up time for creative cooperation.

In today's economy, it is necessary to explore the environmental impact of mining. Coal mining greatly affects all environmental parameters of the environment: home, production, hydrodynamics. The environmental situation in the area of the mining company can be changed if environmental contamination is monitored and environmental protection plans and measures are developed. The purpose of this work is the analysis of systems and models of these processes in the ecosystem. The main systemic hypothesis of the research is that the variety of criteria and methods of risk assessment is a necessary condition of order in the system. The main results of the work are the following: 1) a systematic analysis of the problems of environmental security, geodynamics of the mining areas, aspects of the balance of the sustainable process and the cause of the increase in danger was carried out; 2) Proposed approaches (models) for the assessment of evolutionary ecological potential and health risks, as well as adaptive situational modeling of the ecosystem. It is important to note, the study results do not suggest complex environmental monitoring studies.