• Research Areas
• Optimal Well Placement & Control
  • Water Flood Management and Optimization (*)
  • Production Optimization Using Gradient-Free Methods
  • A Well Pattern Optimization Algorithm for Large-Scale Field Development
  • Retrospective Optimization of Well Location under Uncertainty
  • Reservoir Management Optimization based on Approximate Dynamic Programming
  • Linear Programming in Streamline Model
• Model Order Reduction
• Reservoir Inverse Modelling & Uncertainty Quantification
• Carbon Dioxide Sequestration
• Data Assimilation and Integration
• Decision Analysis under Uncertainty
• Gradient-based History Matching

Optimal Well Placement & Control

By the Smart Fields paradigm we aim at finding an optimal reservoir management. This typically means optimizing well location and control under different uncertainty sources. At the Stanford Smart Fields consortium we study a large variety of optimization strategies for an effective and efficient solving of computationally expensive optimization problems.

Current Projects

• Production Optimization Using Gradient-Free Methods
• A Well Pattern Optimization Algorithm for Large-Scale Field Development
• Retrospective Optimization of Well Location under Uncertainty
• Reservoir Management Optimization based on Approximate Dynamic Programming
• Linear Programming in Streamline Model

Past Projects

• Water Flood Management and Optimization (*)