Comparative analyses of different variants of standard ground for automatic control systems of technical processes of oil and gas production

The article presents the issues related to the architecture design of the control systems for maintenance and automation of measurement equipment, that includes various subsystems and elements as components for the organization of business processes for the maintenance of large industrial enterprises. Those systems take into account the current realities when creating complex digital models and the place of such systems in the information space. The functional requirements that the control system must meet during implementation are defined, and the approaches to the development and updating of service standards are proposed. Taking into account the general trend that consists in the increasing amount of information collected and processed from the field level, a variety of technological objects, as well as the increasing autonomy and complexity of control systems, the task of organizing timely maintenance and repair, and processing of the results using traditional methods, is becoming unsolvable. The ensuring of an independent assessment of the quality and timeliness of work, the impossibility of misrepresenting information about the service is becoming the key point to build transparent relationships in service organization. This article describes the methods and algorithms of business processes necessary to design and implement such systems. Based on the described methodology, an information system was developed, and an assessment of the economic effect was carried out using the results of its implementation and adaptation

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Directions for Improving Apcs in the Oil and Gas Production Industry

Intellekt Sist Proizv ◽

10.22213/2410-9304-2021-3-25-34 ◽

2021 ◽

Vol 19 (3) ◽

pp. 25-34

Author(s):

S. G. Mukhametdinova ◽

◽

A. I. Korshunov ◽

N. O. Vakhrusheva ◽

◽

...

Keyword(s):

Big Data ◽

Process Control ◽

Control Systems ◽

Oil And Gas ◽

Gas Production ◽

Digital Transformation ◽

Automated Control ◽

Oil And Gas Production ◽

Process Control Systems ◽

Automated Process

The paper discusses automated control systems for technological processes (APCS) of oil and gas producing enterprises of the Russian Federation. The history of the development of automated process control systems in oil and gas production is described. At the moment, the efficient operation of technological facilities is not possible without the use of automated control systems. Special attention should be paid to the fact that almost all oil production facilities are currently characterized by a high level of depletion and are mainly at the late (third or fourth) stages of operation. Under these conditions, the average production rate falls, the costs of technological procedures for oil and gas production increase significantly. In this regard, in the current conditions, the effective development of process control systems for oil and gas enterprises is an extremely urgent task. The paper provides a typical block diagram and classification of automated systems that provide control of technological processes in oil and gas production. The necessity of using an automated dispatch control system (ADCS) is substantiated and its main tasks are considered. The need for an automated process control system in oil and gas production to reach the next level of functional development, which can be provided by modern automation and communication means, is clearly demonstrated, thereby giving a new impetus to the digital transformation process. The concept of "smart" well is considered, comparative characteristics of different levels of oil fields are presented: standard, digital and intelligent. The concepts of big data (Big Data), cloud technologies (Cloud Storage), augmented reality are considered in relation to the specifics of the industry. A qualitative assessment of the readiness and development prospects of the APCS in the context of the transition to digital technologies in oil and gas production is carried out. The digital transformation of the industry must be economically substantiated and justified.

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