Artificial intelligence as a driver for improving the quality of management decisions of oil companies

Subject. This article discusses the importance of artificial intelligence systems in the management of oil companies. Objectives. The article aims to develop an algorithm for making a management decision based on the use of artificial intelligence tools and practical recommendations for its application. Methods. For the study, we used complex, comparative, and logical analyses. Results. The article presents an algorithm for making management decisions by the oil and gas company’s management team, involving the use of artificial intelligence systems. Relevance. The results of the study can be used by specialists of enterprises of the fuel and energy complex responsible for the introduction of artificial intelligence systems into the production process.

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Publication Details

Journal
National Interests Priorities and Security
Published
2025-04-15
DOI
https://doi.org/10.24891/ni.21.4.94
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence as a driver for improving the quality of management decisions of oil companies

Е. В. Волкодавова, Anton A. KONOREV
National Interests Priorities and Security
Reservoir Engineering and Simulation Methods
article

Artificial intelligence as a driver for improving the quality of management decisions of oil companies

Е. В. Волкодавова, Anton A. KONOREV
article en

Abstract

Subject. This article discusses the importance of artificial intelligence systems in the management of oil companies. Objectives. The article aims to develop an algorithm for making a management decision based on the use of artificial intelligence tools and practical recommendations for its application. Methods. For the study, we used complex, comparative, and logical analyses. Results. The article presents an algorithm for making management decisions by the oil and gas company’s management team, involving the use of artificial intelligence systems. Relevance. The results of the study can be used by specialists of enterprises of the fuel and energy complex responsible for the introduction of artificial intelligence systems into the production process.

National Interests Priorities and SecurityVol. 21(4)
Samara State University of Economics (RU)
Openalex Percentile: Top 90%
Reservoir Engineering and Simulation Methods
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