The article analyzes the air pollution emission by the refining enterprise. There are determined the most dangerous, from the atmospheric pollution point, production facilities, their work is to be ensured with automated systems for monitoring emissions. Continuous Emissions Monitoring System (CEMS) is based in real time; it allows monitoring of all types of pollution sources. Mathematical models for the calculation of air pollution refinery facilities in real time are offered for CEMS work.

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The article highlights an environmental problem that is relevant for industrial cities, namely the identification of the source of excess emissions. The existing monitoring systems are not designed to identify sources that are violators, and the Supervisory authorities currently lack not only a tool, but also an algorithm for identifying the violator when determining excess pollution levels. The article considers current methods and devices aimed at locating a source that has allowed an excess emission, but all of them have their own disadvantages and limitations. The article presents a method for identifying the source of excess emission based on air sampling conducted by mobile laboratories. The proposed method was tested on mobile laboratory data obtained during an atmospheric air survey in the Soviet administrative district of Omsk. The results of the estimated emission power, determining the multiplicity of excess for each of the considered sources, and identifying the most likely source that allowed an excess emission are presented. Locations have also been identified for confirming windward and leeward sampling from the suspected offending source. The developed method is based on the use of a method approved in Russia for calculating the dispersion of pollutants, which makes it possible to use the results obtained by Supervisory environmental authorities as an evidence base for specific sources of pollution.

Overview of modern well logging methods for research of operating horizontal wells was completed. The possibilities of practical problems solving with the use of application of distributed measurement systems in a horizontal wellbore. Need for mandatory combination of the results of production well logging with mathematical modeling of thermohydrodynamic processes when preparing the final summary was noted. The material contains an examples of production well logging data. Due to the wide spread of horizontal drilling there are in the global well logging practice areas of work focused on the study operating horizontal wells using multi-sensor technology formed and rapidly developing. Direction of technology development are defined ways of getting information in operating horizontal wells and here are the following ways: Use the remote (or autonomous) downhole tools with distributed across the stream sensors of composition, velocity and temperature moved along the axis of the horizontal section of the well, "scanning" flows under different regimes;Use of several autonomous devices wich are delivered to the fixed depth in the horizontal section of the well with a change in mode of well operation;Use of fiber optic measurement systems, distributed along the length of the horizontal wellbore with the possibility of "instantaneous" temperature record for the entire length of the cable as in monitoring mode, and the mode transients. As additional parameter the bottomhole pressure, and in the future, the acoustic noise distribution is recorded. The choice of production logging technology depends on the task, geological conditions of the deposit and technical equipment of contractors. Thus, none of the above methods for studying the horizontal wellbore does not exclude the possibility of other approaches, and the areas of effecient use of non-overlapping. Thus, each of the directions of development of research operating horizontal wells technology has its niche, not limiting the development of existing and newly developed technology solutions. In this case, all methods of horizontal well research combine the need to scan the flow parameters using a plurality of separate (distributed) sensors spaced or transported to a horizontal well.