Insights of Oil-Gas AIoT: Core technologies and Their Significance
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.
Authors
- Jun Mao
- Chengyang Li
- Jingjing Fan
- Xingmin Gui
- Kaiwen Xing
Institutions
- China University of Petroleum, Beijing (CN)
Publication Details
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1145/3757749.3757829
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00