Optimization of Waterflood Strategies in Tight/Shale Oil Reservoirs
This study focuses on optimizing waterflooding strategies in two tight oil reservoirs characterized by low permeability and porosity. Using MATLAB Reservoir Simulation Toolbox (MRST), the project evaluates the impact of key design parameters such as well pattern and injection rate on recovery efficiency, water breakthrough timing, and project economics. Sensitivity analyses were conducted to identify the most influential factors on oil recovery. Additionally, environmental and HSE considerations, including water sourcing and produced-water management, were integrated with economic assessments to ensure sustainability. Results highlight that reservoir quality strongly governs waterflood feasibility, with five-spot patterns and controlled injection rates offering the best balance between technical performance and profitability. The findings provide a practical framework for operators seeking to enhance tight oil recovery while meeting economic and environmental goals.
Project Details
- Student(s): Christa-Maria Bou Saleh, Jason Tabet
- Advisor(s): Dr. Mazen Nakad
- Year: 2025-2026