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
Muhamad Zaki Almarhoon
ME
Mahdi Hassan Alyousif
Mahdi Hassan Alyousif
ICS
Hassan Jafar Aljunabi
Hassan Jafar Aljunabi
ME
Mahdi Mohammed Almayad
Mahdi Mohammed Almayad
PETE
Ali Abduladel Almarrar
Ali Abduladel Almarrar
PETE
Mohammed Ali Alkubaish
Mohammed Ali Alkubaish
ICS

Team Coach

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DR. Mansour Alharthi
Assistant Professor

Info. & Computer Science Dept.

Department of Information and Computer Science