Publikasjoner
- Modelling and Optimization of Shallow Underground Thermal Energy Storage
- Efficient Adaptation and Calibration of Ad joint-Based Reduced-Order Coarse-Grid Network Models
- Rapid Simulation and Optimization of Geological CO2 Sequestration Using Coarse Grid Network Model
- Data-driven modelling with coarse-grid network models Les publikasjonen
- Modeling and Optimization of Shallow Geothermal Heat Storage
- Comparison of two different types of reduced graph-based reservoir models: Interwell networks (GPSNet) versus aggregated coarse-grid networks (CGNet) Les publikasjonen
- Data-Driven Modelling with Coarse-Grid Network Models
- Numerical Comparison Between ES-MDA and Gradient-Based Optimization for History Matching of Reduced Reservoir Models
- Efficient adjoint-based well-placement optimization using flow diagnostics proxies Les publikasjonen
- The use of flow diagnostics to rank model ensembles Les publikasjonen
Annen formidling
- Data-Driven Modelling with Coarse-Grid Network Models
- Towards digital twins for managing underground thermal energy storage
- Derisking geothermal energy by digitalization: a framework for modelling and optimization of underground thermal energy storage systems
- Modeling and Optimization of Shallow Geothermal Heat Storage
- Using MRST for modeling and optimization of operational strategies for a geothermal storage plant in Asker, Norway
- Data-Driven Modelling with Coarse-Grid Network Models
- Flexible routines for computing sensitivities by adjoints
- Flexible routines for computing sensitivities by adjoints
- Multifidelity Multilevel Monte Carlo Method for Reservoir Simulation
- Data-driven models based on flow diagnostic and machine learning techniques