Modern Trends in the Use of Artificial Intelligence Technologies in the Oil and Gas Industry
Year: 2026
Type: article
Abstract: This article scientifically and analytically examines modern trends in the use of artificial intelligence technologies in the oil and gas industry, their significance in ensuring production efficiency, technological process safety, and environmental stability. The main objective of the study is to systematically analyze the possibilities of applying artificial intelligence algorithms at various production stages of the oil and gas industry and to identify promising directions. The study employed methods of scientific literature analysis, comparative analysis, a systems approach, and the classification of technological processes. As a result, the functional capabilities of machine learning, deep learning, computer vision, natural language processing, and digital twin technologies in the oil and gas industry are highlighted. Additionally, issues of field management based on artificial intelligence, forecasting well condition, technical diagnostics of equipment, detecting hydrocarbon leaks, and improving environmental monitoring are substantiated. The research findings demonstrate the scientific and practical significance of the gradual integration of artificial intelligence technologies into the oil and gas industry.
Author: Tajetdinova Gulnara Abatbaevna
Language: English
Subfield: Fuel Technology
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225762984
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