ARTIFICIAL INTELLIGENCE IN THE PROCESS OF MANAGING THE INNOVATION ACTIVITIES OF AN OIL AND GAS COMPANY

Authors

  • Yerkin Baigaziev EUME
  • M. K. Ansori Tajik pedagogical Institute
  • Bakhtiyar F. Akhanov

DOI:

https://doi.org/10.32782/2956-333X/2025-1-3

Keywords:

management, innovation, artificial intelligence, digital transformation, economics, neural networks

Abstract

The article explores the integration of artificial intelligence (AI) into the innovation management processes of oil and gas companies, emphasizing its role in driving technological development and economic growth in the context of Industry 4.0. The authors highlight the transformative potential of AI, neural networks, and digitalization technologies such as the Internet of Things (IoT) in optimizing operational efficiency, reducing costs, and improving production quality. The study underscores the significance of AI as a critical factor in advancing innovation in the oil and gas sector, where the industry faces challenges related to resource constraints, market competition, and technological complexities. The innovation process in oil and gas companies is described as a dynamic, multifaceted system encompassing idea generation, project selection, development, and market introduction. This process is adaptive to economic, geological, and market changes, ensuring continuous improvement in productivity and sustainability. AI tools are shown to enhance this process by enabling advanced data analysis, predictive modeling, and automation. However, the article also identifies significant barriers to AI adoption, including technical difficulties in integrating AI with legacy systems, cybersecurity threats, high costs, organizational resistance, and a lack of qualified specialists. The authors highlight the importance of aligning AI implementation with strategic objectives, such as increasing profitability, maintaining reserves, and ensuring long-term stability. The role of public-private partnerships, regional authorities, and research organizations is emphasized in fostering innovation through the creation of specialized clusters and scientific platforms. These initiatives aim to modernize the industry by accumulating and systematizing knowledge, supporting technological innovation, and promoting sustainable development. Despite the benefits, challenges such as workforce adaptation, unpredictability of outcomes, and potential errors in AI systems remain critical concerns. The article concludes by stressing the need for comprehensive restructuring of management systems, integrating AI solutions within a unified framework to enhance decision-making, streamline processes, and achieve strategic goals. Overall, the study provides a thorough analysis of the opportunities and obstacles associated with AI adoption in the oil and gas sector, offering insights into its potential to revolutionize industry practices and drive innovation.

References

Andreev, A. F., & Sinelnikov, A. A. (2008). Management of innovation processes at enterprises of the oil and gas complex: A textbook. Moscow: MAKS Press.

Oreshina, M. N. (2021). The use of artificial intelligence in the innovation activities of industrial enterprises. E-Management, (1). Retrieved from https://cyberleninka.ru/article/n/primenenie-iskusstvennogointellekta-v-innovatsionnoy-deyatelnosti-promyshlennyh-predpriyatiy.

Zinchenko, R. I., & Torosyan, E. K. (2023). Current trends in the digital transformation of the oil and gas industry in Kazakhstan. Interactive Science, (3) (79). Retrieved from https://cyberleninka.ru/article/n/sovremennye-tendentsiitsifrovoy-transformatsii-neftegazovoy-otrasli-kazahstana.

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Published

2025-06-26