• Research Areas
• Optimal Well Placement & Control
• Model Order Reduction
• Reservoir Inverse Modelling & Uncertainty Quantification
• Carbon Dioxide Sequestration
• Data Assimilation and Integration
• Decision Analysis under Uncertainty

Research

The research within the Stanford Smart Fields consortium targets the solving of many of the issues related to the practical implementation of the closed-loop reservoir management paradigm. These issues involve topics such as production optimization, model order reduction, uncertainty quantification and propagation, data assimilation and optimal decision making. Apart from production optimization, the Smart Fields concept can also be also useful for optimal carbon dioxide sequestration.

Research Areas

1. Optimal Well Placement & Control
2. Model Order Reduction
3. Reservoir Inverse Modelling & Uncertainty Quantification
4. Carbon Dioxide Sequestration
5. Data Assimilation and Integration
6. Decision Analysis under Uncertainty