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.

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

Jun Mao, Chengyang Li, Jingjing Fan, Xingmin Gui et al.
Reservoir Engineering and Simulation Methods
article

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

Jun Mao, Chengyang Li, Jingjing Fan, Xingmin Gui, Kaiwen Xing
article en

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.

China University of Petroleum, Beijing (CN)
Openalex Percentile: Top 70%
Reservoir Engineering and Simulation Methods
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