«Problems of economics and management of oil and gas complex»

Problematic issues of development and implementation of artificial intelligence technologies in the oil and gas industry. Challenges, technological solutions, development directions

UDC: 550.8.012+622.276
DOI: -

Authors:

¹ Oil and Gas Research Institute of the Russian Academy of Sciences, Moscow, Russia

Keywords: generative artificial intelligence, large language models, machine learning, neural networks, universal intelligent modules and complexes, integrated intelligent systems for fields automated development

Annotation:

In the context of the sanctions war waged by leading Western countries against the oil and gas sector of the Russian Federation economy, the development and implementation of modern AI technologies is the most promising direction for automating production processes, increasing the efficiency and sustainability of the oil and gas industry operation. The authors of the article analyze the problematic issues of development and implementation of modern artificial intelligence technologies in the oil and gas industry. Today, large language models (LLM) have demonstrated great potential in solving complex problems in various fields, including oil and gas engineering and other industrial design disciplines, such as automation of production. The functionalities of generative AI, classical neural networks and machine learning methods complement each other. Using the capabilities of LLM models for integrating and managing agents based on classical machine learning models when solving complex heterogeneous problems of oil and gas production allows speaking about the development of integrated intelligent systems for automating the development and operation of oil and gas fields. The creation of the Artificial Intelligence Research Center, the phased deployment of elements of the digital SMART ecosystem of oil and gas will unify and accelerate the development of AI NG technologies based on the information and technical association of developers, researchers, educational organizations and companies in order to increase oil and gas production efficiency. The authors of the article used the results of researches and trial operation of an experimental model of an automated system for preventing complications and emergencies during well construction (AS POAS), developed at the Oil and Gas Research Institute of the Russian Academy of Sciences as part of exploratory scientific work commissioned by the Ministry of Education of the Russian Federation [1].

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