Term 252
IoT-based Well Integrity Monitoring System with AI-Powered Predictive Analytics
Project Type: Self-Initiated
Project Description
This project addresses this gap by enabling continuous, real-time monitoring of pressure, temperature, and flowrate with automated alarms for early detection of abnormal behavior.
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Project Team
Hassan Abdulkhaliq Al Basher
PETE
Mohammed Abdulla Al Elaiw
COE
Mohammed Ahmed Alghirash
PETE
Mohammed Turki Aljubaili
ICS
Abdullah Saud Alharbi
ISETeam Coach
DR. Majed Al Zayer
Assistant ProfessorInfo. & Computer Science Dept.
SDAIA-KFUPM Joint Research Center for Artificial Intelligence