2022 2nd International Conference on Computing and Information Technology (ICCIT) 2022
DOI: 10.1109/iccit52419.2022.9711599
|View full text |Cite
|
Sign up to set email alerts
|

Using Artificial Intelligence to Protect, Detect and Mitigate Oil and Gas Sectors of KSA from Drones and Missiles Assaults

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…The analysis of UAV applications showed that in Middle Eastern countries, such as Bahrain, the Tawtweer Petroleum company uses AI-based drones equipped with thermal camera sensors and gas detectors for equipment monitoring, pipeline inspections, security, and mapping [40]. In Saudi Arabia, studies on the implementation of drones in the O&G industry focus on security and defence issues, being equipped with weapons [41]. In the United Arab Emirates, gas leaks in oil fields are the main problem in the industry, therefore, Short-wave infrared (SWIR) sensors were implemented in the monitoring and inspections of oil assets [42].…”
Section: Systematic Review Using Prismamentioning
confidence: 99%
“…The analysis of UAV applications showed that in Middle Eastern countries, such as Bahrain, the Tawtweer Petroleum company uses AI-based drones equipped with thermal camera sensors and gas detectors for equipment monitoring, pipeline inspections, security, and mapping [40]. In Saudi Arabia, studies on the implementation of drones in the O&G industry focus on security and defence issues, being equipped with weapons [41]. In the United Arab Emirates, gas leaks in oil fields are the main problem in the industry, therefore, Short-wave infrared (SWIR) sensors were implemented in the monitoring and inspections of oil assets [42].…”
Section: Systematic Review Using Prismamentioning
confidence: 99%