Future-Oriented Oil-Gas AIoT Architecture: Trends and Research Findings

The growth of global energy demand makes the oil and gas industry important. Traditional production methods are difficult to meet the demand, and intelligence and automation have become an inevitable trend. Artificial Intelligence of Things (AIoT) technology is developing rapidly and has great application potential in the field of oil and gas. It can provide data support in the oil and gas exploration stage, realize remote monitoring and intelligent control in the production stage. Besides, it provides comprehensive monitoring and management in the transportation link, realize real-time monitoring and management in the storage link. This paper aims to provide a comprehensive overview covering multiple business links of oil and gas and a variety of AIoT technologies. The research is of great significance to the intelligent development of the oil and gas industry, which is the basis for realizing intelligent production and helping to improve the management level.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878713
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Future-Oriented Oil-Gas AIoT Architecture: Trends and Research Findings

Dongzhi Liu, Shan Chen, Chengyang Li, Yuping Sun et al.
Reservoir Engineering and Simulation Methods
article

Future-Oriented Oil-Gas AIoT Architecture: Trends and Research Findings

Dongzhi Liu, Shan Chen, Chengyang Li, Yuping Sun, Qiuming Du, Tianbo Zou
article en

Abstract

The growth of global energy demand makes the oil and gas industry important. Traditional production methods are difficult to meet the demand, and intelligence and automation have become an inevitable trend. Artificial Intelligence of Things (AIoT) technology is developing rapidly and has great application potential in the field of oil and gas. It can provide data support in the oil and gas exploration stage, realize remote monitoring and intelligent control in the production stage. Besides, it provides comprehensive monitoring and management in the transportation link, realize real-time monitoring and management in the storage link. This paper aims to provide a comprehensive overview covering multiple business links of oil and gas and a variety of AIoT technologies. The research is of great significance to the intelligent development of the oil and gas industry, which is the basis for realizing intelligent production and helping to improve the management level.

China University of Petroleum, Beijing (CN), Daqing Oilfield General Hospital (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.