Term 252

Reducing Water Cut In Smart Wells Via Ultrasonic Sensors And Flow Control Equipment

Project Type: Self-Initiated

Project Description

The Smart Well Simulator project aims to address the challenge of high water production in mature oil reservoirs, which negatively impacts production efficiency and increases operational costs. Traditional methods for managing water production often suffer from delayed response times. This project proposes a proactive solution by developing a system capable of detecting water cut early and responding in real time. The system is designed as a laboratory-scale simulator. It utilizes ultrasonic sensing technology to monitor fluid properties and distinguish between oil and water based on differences in density. The measured signals are processed using an Arduino-based microcontroller, which calculates the water cut and evaluates it against predefined thresholds. The project focuses on early detection and monitoring of water production behavior. By providing real-time information about fluid composition, the system enables faster and more informed decision-making. The project integrates concepts from petroleum engineering, geophysics, electrical engineering, and software engineering to create a functional smart monitoring system. The prototype demonstrates the feasibility of real-time water-cut detection, providing a cost-effective and scalable approach for improving oil recovery and reducing unnecessary water production.


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Project Team

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Abdulrahman Mohamud Abdalla
ICS
Mohammed Reda Sahwan
Mohammed Reda Sahwan
PETE
Hadi Hussain Alsalem
Hadi Hussain Alsalem
PETE
Hassan Ali Alshaer
Hassan Ali Alshaer
EE
Mohammed Ali Alshareef
Mohammed Ali Alshareef
ERTH

Team Coach

DR. Ayman Al-Lehyani
DR. Ayman Al-Lehyani
Assistant Professor

Geosciences Dept.

Department of Geosciences