«Equipment and technologies for oil and gas complex»

The use of neural networks in hydrodynamic modeling of underground gas storage facilities

UDC: 622.691.4:004.896
DOI: -

Authors:

¹ Lomonosov Moscow State University, Moscow, Russia
² National University of Oil and Gas "Gubkin University", Moscow, Russia
³ Oil and Gas Research Institute of the Russian Academy of Sciences, Moscow, Russia

Keywords: neural network, underground gas storage, hydrodynamic and geological models

Annotation:

The authors of the article describe the geological and technological criteria of selecting a reservoir layer for gas storage as well as analyze in detail the use of various neural networks in hydrodynamic modeling of underground gas storage facilities. The authors study the possibilities of using neural networks to improve the accuracy and efficiency of modeling processes associated with underground gas storage. The authors of the article consider the basic principles of neural networks operation and their application in hydrodynamics. The results of the study may be useful for the development of more accurate and reliable models of underground gas storage facilities.

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