In recent times, gas is becoming one of the most significant resources utilised worldwide. The continuous increase in demand requires an increase in the production and preparation of gas for further utilisation. Conventional sources cannot satisfy this need, so it is necessary to resort to alternative methods of obtaining raw materials; one of the most promising is the development of unconventional reservoirs. The study considers a structurally complex gas-bearing reservoir; due to the peculiarities of the structure, the use of traditional approaches to gas production causes a number of difficulties and significantly reduces efficiency. A structurally inhomogeneous reservoir is considered a distributed object; a pressure field control system is synthesised. As a result, the efficiency of the system is evaluated, and its scalability is analysed.

Artificial Intelligence finds application at all stages of Software Engineering, and uses the Neural Networks, Machine Learning, Natural Language Processing concepts. This paper attempts to review the instance of such approach - neural network programmer’s assistant Copilot, based on Codex, the AI system developed by OpenAI. The differences between Codex language model’s versions and analogous systems were analyzed. The main problems and gaps of this innovation, such as correct commands formulation, copyrighting, safety issues, inefficient code, good practice examples and restrictions are also considered. Additionally, the opportunities for Copilot’s growth, development and possible features’ proposed recommendations were suggested.

In this paper deals with the procedure for synthesizing the regulator of a thermal chamber. A mathematical model of an impulse, distributed control system is considered. The procedure for synthesizing the regulator based on the Green's function is performed.

Due to the depletion of traditional hydrocarbon fields in the Russian Federation, the development of structurally complex fields is currently a pressing issue. The challenge is to ensure a high gas recovery factor (GRF). This paper presents a comprehensive analysis of the scientific and technical literature, including a classification of factors affecting gas recovery; a review of existing approaches to neutralising their impact; and the identification of unsolved challenges and promising research areas at the pore, layer, and field scales. The study identified and classified the key factors affecting gas recovery. It was determined that, from the standpoint of automating gas production processes, changes in reservoir pressure are the key factor influencing gas recovery. Promising solutions are proposed, including the implementation of digital technologies, machine learning, proxy models, and the concept of digital twins. Unresolved challenges and research gaps are identified. The study results generalise existing knowledge on the challenges and promising approaches to improving the efficiency of developing the resource potential of fields with complex geological structures.

Using of the innovative approach for heating isotropic structures is an urgent task. In oilfield practice are widespread thermal methods for controlling of asphalt-resin-paraffin deposits formation because of their reliability and ease of use. The proposed methodology reduces the final cost of development and operation of the field by saving funds on energy resources.The paper presents the mathematical model of high-paraffin oil movement along a tubing string, observes the method of temperature field formation using pulsed sectional heaters. The authors synthesize a temperature field control system, and perform a numerical experiment on a sample of Sobolinoe oil field.At present the proportion of high-paraffin oil which has a high setting point has significantly increased in the balance of hydrocarbon production. In this regard, specialists face with the problem of its production, preparation, transportation and refining, due to a significant increase in viscosity, as well as loss of fluidity at low ambient temperatures. Paraffin deposits in the bottom-hole formation zone and on the surface of oilfield equipment are one of the most serious complications in the operation of wells and pipeline transport. Paraffin deposits reduce filtration characteristics of the reservoir, clog pores, reduce the useful cross section of tubing and, as a result, significantly complicate production and transportation of oil, increase energy consumption during the mechanized production method, and lead to increased equipment deterioration.One of the solutions to problems mentioned above is the use of additional heating devices during production and transportation. Also solutions require predictive data on behavior of mixtures in the process of their pumping and processing, as well as the development of a set of measures that allow transportation, processing and storage of raw materials in the specific climatic conditions that arise, are also required.

In this paper the function of the initial heating has been received; the mathematical modeling of the process has been conducted as well as the analysis of the results. With the help of the obtained regulator hardware and software complex has been designed in the Pascal programming language, the complex allows to simulate the behavior of the temperature fields in the isotropic rod. The article presents the simulation of the temperature process for different configurations of the system. Namely, there is simulation with different number of impulsive heating sources with the relay control principle. The practical results of these studies suggest the possibility of building silicon carbide heating element, made in the form of an isotropic rod.