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JOURNALS // Upravlenie Bol'shimi Sistemami // Archive

UBS, 2024 Issue 108, Pages 174–191 (Mi ubs1197)

Control in Technology and Process Control

Automated information system for natural gas quality analysis

I. A. Brokarevab, S. V. Vaskovskiib, M. Farkhadovb

a Gubkin Russian State University of Oil and Gas (National Research University), Moscow
b V.A. Trapeznikov Institute of Control Sciences of RAS, Moscow

Abstract: The article proposes an automated information system for determining the energy parameters of natural gas, shows its main components, and shows a version of the system’s operation based on experimental data. The proposed architecture of the automated system consists of the following parts: an information subsystem that implements the developed algorithms, a measurement information subsystem, and an analysis subsystem. The main advantages of the method and the system based on it are as follows: multifunctionality, which allows to modify the system at each stage for a specific task and obtain the necessary measurement information using commercially available and relatively inexpensive measuring equipment. Development of a model for solving the problem of analyzing the quality of natural gas includes a number of successive stages, namely: selection of data for training the model; choice of model architecture; choosing a model training method; assessing the accuracy of the model. The system was tested using the results of experiments conducted in laboratory conditions using data from real gas mixtures. Indicators of the accuracy of determining energy parameters have been calculated, from which it can be concluded that the method under study and the system based on it can be used to analyze the quality of real gas mixtures. The implemented architecture of the automated information system is information and computing, providing analysis of gas quality with low time costs.

Keywords: analysis of the quality of natural gas, assessment of the accuracy of gas analysis systems, automated information systems

UDC: 519.6
BBK: 30.1

Received: February 15, 2024
Published: March 31, 2024

DOI: 10.25728/ubs.2024.108.10



© Steklov Math. Inst. of RAS, 2024