Term 252
AI-Powered Oil Pipeline Leak Detection and Monitoring System
Project Type: Self-Initiated
Project Description
This project shows that AI could be used to greatly improve the performance of leak detection methods. It can classify the leak severity while also sending quick notifications about the leak to different devices. However, leak localization, aside from theory, is much harder to achieve in real-life settings and requires a big yet accurate amounts of data, which requires arguably non-realistic budget for accurate sensors and time to train the AI model.
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Project Team
Muhamad Zaki Almarhoon
ME
Mahdi Hassan Alyousif
ICS
Hassan Jafar Aljunabi
ME
Mahdi Mohammed Almayad
PETE
Ali Abduladel Almarrar
PETE
Mohammed Ali Alkubaish
ICSTeam Coach
DR. Mansour Alharthi
Assistant ProfessorInfo. & Computer Science Dept.
Department of Information and Computer Science