The article is devoted to the problem of the growing need of the mineral water fields’ exploitation process automation. The implementation of control systems and mathematical modeling methods can significantly reduce the fields’ structural integrity violation and pollution of aquifers risks. This research is especially relevant for the fields with difficult conditions of mineral waters occurrence, since the insufficient accuracy of determining the fields’ operating mode parameters can lead to a severe incident. The article describes a distributed mathematical model developed from the geo-filtration equation. Based on this model, a new method for assessing the mutual influence of the fields, the production of which is carried out from one aquifer, is presented. For a more detailed study of the operating mode parameters influence on the object a physical model of the reservoir was developed. The using of Arduino sensors and the developed software allows us to construct a 3D graph of the input action and its response at the different points of the object as temperature distribution. The simulation results make it possible to use the proposed model for the automatic control system synthesis.

Coal mining is still an important part of the global energy complex. Despite the active development of technologies and modern equipment, coal mining remains one of the most dangerous jobs in the world. The main danger is associated with a large number of the hard-predictable factors, such as the opening of a toxic and flammable gas blister, the collapse of a mine due to a violation of the mines’ structural integrity, etc. There are software and hardware systems capable of monitoring the necessary parameters, but the problem lies in the complexity and costliness of the implementation and maintenance, so even for the largest enterprises, the widespread implementation of such systems is unprofitable. Previously conducted studies have established that most of the developed coal mining monitoring systems are very expensive to implement and labor-consuming to use and support. This article proposes to consider the developed prototype of a system for toxic and flammable gases concentration real-time monitoring, capable of reading the information with sufficient speed and transferring it to a system which triggers the response mechanism in cases where the specified concentration limits would be exceeded.

Digitalization and automation of technological processes are two of the leading trends in the development of information technology. The industrial Internet of Things (IOT) is the future of every field with complex and multicomponent technological processes. The possibility of full automation implies the interaction of a large number of different technologies and methods, one of which is mathematical modeling. The mathematical model allows formalizing the representation of any object, which is essential in the development of control systems. One of the most effective options for using this method is the mathematical description of natural objects. An important feature is that with the use of mathematics, it is possible to describe not only the geometric parameters of the object but also the dynamics of changes in the parameters of the object with respect to the input influences. This paper proposes to develop a conceptual model of an oil field that can reflect and predict changes in the reservoir under the conditions of changes in the parameters of the field operation mode. The study presents the process of determining and selecting the most significant parameters for modeling and presents a draft mathematical model of the oil field as a system of equations for the most significant parameters of the oil field.

There are some regions where the unique type of mineral water mining is compounded by the complex structure conditions of the field. Due to the high emergency risks, the automation of this type of mineral water fields’ exploitation process is a necessity. Kislovodskoe mineral water field was chosen as the experimental object, because it has a number of features that make it barely possible to use the conventional methods of mineral water extraction. In the process of extraction, the random vector impacts the mineral water pumping systems. This is mainly due to the complex hydrogeological structure. For the experiment, the laboratory installation and mathematical model were presented by the temperature field changing, due to the similitude of the mathematical apparatus and the hydrodynamic processes behavior,. The main object of this article is the analysis of the reservoir’s temperature field behavior using a hybrid supercomputer, and the differences between the supercomputer and a conventional personal computer modeling quality and implementation costs are also given..

This paper presents the results of formation and changing of the initial heating function values distribution. During the analysis, an initial heating expression which can reflect the process of output function formation taking into account the uniform distribution of sources was obtained. Based on the calculation results, a temporary estimate of the Fourier series elements influencing on the final signal was given.

The article presents a study of the temperature distribution as a distributed heating circuit’s action result. A distributed heating circuit is a set of sequentially located heating sources, which switch-on time, operation and intensity parameters are controlled by the control system. The process of initial heating function formation influenced by the action of uniformly distributed sources is also investigated. The first switching-on time of the control action was calculated as a result of achieved set value by the initial heating function.