Insights of Oil-Gas AIoT: Core technologies and Their Significance

Abstract

The oil and gas industry is encountering significant challenges, including inefficient data acquisition and processing within IoT frameworks, growing global energy demands, and heightened pressure to reduce environmental risks. In response, the integration of Artificial Intelligence of Things (AIoT) technologies has gained prominence across core domains such as sensing, communication, data analysis, and intelligent control. Technologies like wireless sensor networks (WSN), ZigBee, 5G, and a range of AI algorithms support end-to-end capabilities-enabling comprehensive monitoring, real-time data transmission, and automated decision-making throughout oil production operations. This integration has led to notable improvements in production efficiency and safety oversight, contributing to the broader advancement of operational intelligence within the sector. Furthermore, progress in fusion technologies is expected to accelerate the transition toward digital, intelligent, and interconnected systems, offering new momentum for sustainable development. To fully realize the potential of AIoT in the industry, targeted research and development strategies are required to address emerging technical and systemic challenges. Priorities should include reinforcing foundational research in AIoT, encouraging collaboration across sectors, and establishing unified industry standards to guide effective and secure implementation.