Abstract

The development of artificial intelligence (AI) technologies opens up new opportunities for optimization and automation of processes in the oil and gas industry. The use of AI in this area is aimed at improving the procedures for searching, producing, processing and transporting hydrocarbons. The article contains practical examples of using AI to analyze geological data, predict well production, automate equipment control, and improve the safety of work processes. The potential benefits and challenges associated with the application of artificial intelligence in the industry are also highlighted. The study contains a comparative analysis of the effectiveness of traditional methods and AI-based methods, as well as recommendations for their implementation in enterprises. The development and implementation of AI-based systems in the oil and gas industry provides additional benefits. Deep learning tools may have difficulty identifying complexities in data processed using traditional methods. This can significantly speed up decision-making processes, with the introduction of new fields or the optimization of existing laws. However, the article also discusses the risks and limitations associated with the application of AI in the oil and gas sector. In particular, attention to quality and objective initial training, potential security threats, and issues of responsibility for decision making using automated systems. To ensure the development of AI in the oil and gas industry, it is also necessary to take into account the specifics of this industry, the characteristics of corporate culture and the readiness of personnel to change. In conclusion, recommendations were formulated for training specialists and creating interdisciplinary teams for the successful development of artificial intelligence technologies in production processes.

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