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
Hassan Abdulkhaliq Al Basher
PETE
Mohammed Abdulla Al Elaiw
Mohammed Abdulla Al Elaiw
COE
Mohammed Ahmed Alghirash
Mohammed Ahmed Alghirash
PETE
Mohammed Turki Aljubaili
Mohammed Turki Aljubaili
ICS
Abdullah Saud Alharbi
Abdullah Saud Alharbi
ISE

Team Coach

DR. Majed Al Zayer
DR. Majed Al Zayer
Assistant Professor

Info. & Computer Science Dept.

SDAIA-KFUPM Joint Research Center for Artificial Intelligence