ENVIRONMENTAL PROBLEMS OF THE RUSSIAN OIL INDUSTRY AND THEIR MODELING

Abstract

Abstract. Background: Many researchers consider topical issues of ecological development of the oil industry because of a variety of reasons. The oil prices are unstable, as well as exchange rates. The instability is contributed by the exhaustion of old fields and the high cost of new realization. The oil industry of Russia significantly influences the balance of payments, budget revenues, support of the ruble, and currency receipts. Objectives: The tasks of decision-making by management are considered in conjunction with issues of human health and viability of the oil business in conditions of uncertainty and multiplicity of criteria, as well as significant risks in the industry. Methods: methods of system analysis and synthesis, mathematical modeling, classification, scaling, ranking of events, and problematic methods (metabolic responses to pollution, verification) were used. The systems analysis methods used make it possible to investigate the problems of ecosystem self-organization. Private methods are defined flexibly, are adaptive, and agree with the considered task of the oil industry. Results: The following results were obtained: a) systematized the tasks of a systematic analysis of environmental problems in the oil industry; b) the target criterion of environmental hazard of the industry is formulated; c) proposed an approach to the formation of a digital environmental profile of the enterprise; d) the model of oil production taking into account its environmental costs is proposed. Discussion: Many Russian oil production regions are located in zones of pollution risk to decrease the potential of environmental restoration. At the same time, in the Russian ecological standards are very strict. The criteria and models considered in work can be useful at researching various strategies of the evolution of the oil industry. The results of the work will allow for solving practical problems of improving competitiveness in the oil market, reforming mechanisms of the oil industry, improvement of the domestic market of power and logistic services, etc. Conclusions: It is possible not only to predict environmental risks but also to avoid them. Further development can be conducted through information and entropy risk assessment and neuro procedures approach. The offered procedures and models are technological and flexible, do not assume difficult monitoring.