Vol. 8 pp. 644-654

K. L. Oskolskikh, S.A. Krasnoperova

 

THE APPLICATION OF NEURAL NETWORKS IN THE OIL AND GAS INDUSTRY

 

Annotation. The article discusses the main types (multilayer neural networks, convolutional, recursive, generative, etc.). It is noted that some of the leading companies use their innovative solutions using neural networks. For example, Schlumberger makes extensive use of neural networks for seismic data processing, reservoir modeling, and drilling optimization; Halliburton uses artificial intelligence and machine learning technologies to automate many aspects of drilling and oil production. It has been revealed that neural networks can become a very effective tool for data processing in the oil and gas industry, for example: 1) improving the quality of forecasting the locations of oil and gas deposits; 2) significantly reducing the time period for processing geological, geophysical, hydrodynamic and other research parameters; 3) systematization and integration of a large amount of data obtained from various sources, on the basis of which many companies are able to make more informed decisions when performing production tasks.

Keywords: neural networks, big data, data processing, oil and gas industry.

For citation: Oskolskikh K. L., Krasnoperova S.A. [The application of neural networks in the oil and gas industry] Upravlenie tekhnosferoi, 2025, vol. 8, issue 4, рр. 644–654. DOI: 10.35634/UdSU.2025.65.90.011. (In Russ.).

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About the Authors

Oskolskikh Kristina Leonidovna

student, M.S. Gutseriev Institute of Oil and Gas, Federal State Budgetary Educational Institution of Higher Education "Udmurt State University", 426034, Universitetskaya St., 1, Izhevsk, Russia.

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Krasnoperova Svetlana Anatolyevna

Candidate of Biological Sciences, Associate Professor, Associate Professor of the Department of Oil and Gas, Institute of Oil and Gas named after M.S. Gutseriev, Federal State Budgetary Educational Institution of Higher Education "Udmurt State University", 426034, University st., 1, Izhevsk, Russia.

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