Scientific and technical journal

«Automation and Informatization of the fuel and energy complex»

ISSN 0132-2222

Automation and Informatization of the fuel and energy complex
System analysis methods application for building digital twins of gas transmission systems fragments based on neural network modeling (analysis and synthesis methodology main provisions)

UDC: 681.5:622.679
DOI: -

Authors:

KAZAK ALEXANDER S.1,
OLEYNIKOV ALEXEY V.2

1 NIIgazeconomika, Moscow, Russia
2 Gazprom transgaz Chaikovsky, Chaikovsky, Russia

Keywords: system analysis, gas transportation systems (GTS), gas pipeline elements, decomposition, neural network models, synthesis

Annotation:

The article considers the main approaches to the analysis and synthesis of the complex main gas transportation systems (GTS). It is shown that the GTS decomposition depth is related to the formulation of the tasks to be solved and depends on the algorithms and computational procedures for modeling the corresponding regime-technological tasks. The possibility of using neural network models to calculate the operating characteristics of GTS elements is determined. Two possible approaches to the synthesis of neural network models of the complex GTS are proposed.

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