«Equipment and technologies for oil and gas complex»

Analysis of some specific features of technological transportation processes control in order to build mathematical models of gas transportation system fragments

UDC: 681.5:622.279
DOI: -

Authors:

¹ Gazprom transgaz Chaikovsky, Chaikovsky, Russia

Keywords: gas transmission system, measuring unit, neural network modeling, compressed gas consumption, artificial neural networks, compressor station, supercharger confusor, gas compressor unit

Annotation:

The research is aimed at identifying the technological features of the operation of a main gas pipeline system fragment in order to assess the possibility of building its mathematical analogue using neural network models. Control of technological parameters and modes of a gas transmission system operation is critically important for building a neural network model of a gas transmission system fragment. The predicted parameters of technological equipment and the calculation of the optimal operational mode of main gas pipelines and compressor stations depend on the accuracy of the measuring instruments of technological parameters, in particular the flow rate of the compressed gas. The direct and indirect methods and devices used for technological measurement of gas flow at compressor stations of main gas pipelines are overviewed. Based on the results of the analysis, an optimal solution is presented for the formation of reliable gas flow readings in order to build a neural network model of a gas transmission system fragment. The obtained intermediate results will improve the accuracy, volume and representativeness of the compressor station technological parameters used in mathematical models of the natural gas transportation process.

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