Term 252
Advanced Casings Corrosion Detection Techniques Using Machine Learning in Oil Wells
Project Type: Self-Initiated
Project Description
The project was developed to identify structural rust and degradation in the protective steel pipes of oil wells. By leveraging machine learning algorithms, this method automatically analyzes complex sensor data to pinpoint defects far faster and more accurately than traditional manual inspections. Ultimately, this integration of artificial intelligence shifts the industry toward predictive maintenance, allowing operators to prevent costly well failures and environmental leaks before they occur.
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Project Team
Faisal Ali Alzahrani
MSE
Abdullah Abdulaziz Alismail
MSE
Rashed Faraj Alqahtani
PETE
Abdulrazzak Adnan Ghazal
ICS
Anas Abdulrahman Alhanaya
ICS
Faihan Salman Aldossary
PETETeam Coach
DR. Murtada Al-Jawad
Associate ProfessorPetroleum Engineering Dept.
Department of Petroleum Engineering