Vol. 336 No. 10 (2025)
DOI https://doi.org/10.18799/24131830/2025/10/5289
Issues of improving environmental monitoring at oil and gas facilities using artificial intelligence technologies
Relevance. Challenges of the traditional climate doctrine, which guides Russian oil and gas companies in implementing development strategies. Within these strategies, environmental monitoring of the environment occupies a key place and is crucial for the investment attractiveness and competitiveness of companies in the global hydrocarbon raw materials market. The transformation of environmental development through artificial intelligence technologies is accompanied by a set of technical and technological problems. Aim. Analysis of the problems of developing artificial intelligence technologies in the Triad system «State of Atmospheric Air» at operating oil and gas facilities. Information base. Materials of scientific works by Russian and foreign authors, annual and interim reporting of oil and gas companies, regulatory framework. Methods. Empirical, analytical, economic, and statistical. Results. The authors established that the improvement of the environmental triad based on artificial intelligence technology within the framework of strategic tasks of technological sovereignty and digitalization of the oil and gas industry is determined by a triad of factors: the quality of information bases, measuring devices that provide characteristic geographic and climatic conditions, and real technical support for artificial intelligence technologies. It is indicated that in order to level the dual industrial technologies of artificial intelligence, a set of measures is needed in terms of state regulation to increase the initiative of oil and gas companies in improving the environmental monitoring system. It is also substantiated that the development of clean software products, despite the long relation to the search for technical, technological, and IT solutions, is a promising business project that can be replicated at other oil and gas facilities with similar geographic and climatic conditions.
Keywords:
oil and gas facility, greenhouse gases, environmental monitoring, gas analysis systems, artificial intelligence, artificial neural network


