Research on the Path and Countermeasures of Digital Intelligence Technology Driving the Green and Low-Carbon Transformation of Oil and Gas Enterprises

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a theoretical framework combining dynamic capabilities and resource-based view for studying digitalization in energy transition.

🏢実務担当者:Offers actionable pathways and countermeasures for oil and gas firms to implement digital-driven low-carbon transformation.

🏛政策担当者:Suggests policy support and evaluation system design to accelerate digital adoption in traditional energy sectors.

Under the background of the continuous promotion of the "double carbon" goal and the adjustment of energy structure, oil and gas enterprises not only bear the basic function of ensuring energy security, but also face the realistic pressure of reducing carbon emission intensity and improving green development ability. Traditional oil and gas enterprises rely on resource investment, scale expansion and experience management for a long time, and there are still some shortcomings in production efficiency, energy consumption control, carbon emission monitoring and supply chain coordination. The rapid development of digital intelligence technology provides new tools and paths for oil and gas enterprises to break through the dilemma of low-carbon transformation. This paper focuses on how digital intelligence technology drives the green low-carbon transformation of oil and gas enterprises. Based on the theory of dynamic capacity, resource-based view and resource arrangement theory, it analyzes the mechanism of digital intelligence technology in the production and operation of oil and gas enterprises, energy management, supply chain coordination and carbon emission governance. The research shows that digital intelligence technology is not a simple technology substitution, but through data perception, intelligent analysis, resource restructuring and organizational collaboration, to promote the development of oil and gas enterprises from extensive management to refinement, intelligence and green. At present, the digital intelligent low-carbon transformation of oil and gas enterprises still faces problems such as weak data base, insufficient organizational coordination, lack of compound talents, long investment return cycle and rising security risks. For this reason, this paper puts forward four paths of intelligent production process, digital energy management, supply chain collaborative low-carbon and carbon emission management platform, and puts forward countermeasures and suggestions from the aspects of enterprise management, technology construction, personnel training, policy support and evaluation system construction. The research can provide theoretical reference and practical enlightenment for oil and gas enterprises to promote green low-carbon transformation.

• openalex https://doi.org/10.55220/2576-6759.948first seen 2026-06-08 04:54:09