The assessment of environmental risks at oil and gas production facilities is one of the most important and relevant areas. Essentially, the results of the current assessment procedure are in most cases divorced from the real situation that is taking shape in the territory of mining operations. The main issue is the lack of a methodology that would combine an assessment of each component of the environment. The aim of this work is to justify and develop an integrated methodology for assessing environmental risks. For this, we considered the main types of environmental impacts of oil and gas production companies, and from existing methods for assessing environmental risks we selected those able to take into account the largest range of impacts. Using the resulting set of methods for assessing environmental risks, we conducted a study of the environmental condition at the oil and gas fields in the Lena-Tunguska oil and gas province, namely, the Yarakta, Iktekh, and Markovo fields. As a result, the environmental risk identified at these facilities corresponded to the “medium” level. As result, at these facilities during the risk management procedure it is necessary to implement additional measures aimed at minimizing the negative impact on the environment.

Abstract.In article the analysis of electric power consumption and problems of power saving on coal mines are considered. Nowadays the share of conditionally constant costs of electric power for providing safe working conditions underground on coal mines is big. Therefore, the power efficiency of underground coal mining depends on electric power expense of the main technological processes and size of conditionally constant costs. The important direction of increase of power efficiency of coal mining is forecasting of a power consumption and monitoring of electric power expense. One of the main approaches to reducing of electric power costs is increase in accuracy of the enterprise demand in the wholesale electric power market. It is offered to use artificial neural networks to forecasting of day-ahead power consumption with hourly breakdown. At the same time use of neural and indistinct (hybrid) systems on the principles of fuzzy logic, neural networks and genetic algorithms is more preferable. This model allows to do exact short-term forecasts at a small array of input data. A set of the input parameters characterizing mining-and-geological and technological features of the enterprise is offered.

Information of ensuring explosion-proof properties of mine electrical equipment is one of important problems of ensuring safe operation of electrical equipment in coal mines are provided. It is shown that this process is very difficult and a little studied. The analysis algorithm and identifications of influence of defects of constructional elements of a cover on explosion protection is offered. The analysis of existing normative documents is carried out and the directions of researches are offered.

In this article, the authors discuss the use of FACTS devices in coal mine power systems. The problems of reactive power compensation and the disadvantages of regulatory and technical documentation regarding the use of modern reactive power compensation devices are considered. The main types of FACTS devices that can be used in coal mines are identified. The scientific publications in the field of application of FACTS devices in power supply systems of industrial enterprises are analyzed. The cost indicators of FACTS devices are considered and conclusions are drawn on the theoretical technical and economic efficiency of using FACTS devices in mine conditions.

Improving the energy efficiency of the power grid complex is an urgent problem. The need to solve this problem is due to various technical and economic reasons. First of all, this is due to high power losses in distribution electrical networks, caused by a significant load of its elements by reactive power flows. In this regard, the development of mechanisms for active-adaptive control of reactive power is becoming increasingly important. Currently, the Smart Grid concept has become widespread in the global electric power industry. The use of these technologies allows not only to optimize power losses in distribution networks, but also to improve the efficiency of the electric grid complex. The article proposes an algorithm for optimizing the placement of compensating devices in the distribution network on the example of one of the territorial network organizations of the Kuzbass. This algorithm is based on the theory of multilevel systems using the method of indefinite Lagrange multipliers. The results of applying this algorithm based on the developed simulation model are presented.