Resources, Energy and Environment
These three areas all offer modelling opportunities for problems on many length-scales, some of them very large. They offer great scope for mathematical ingenuity in identifying key mechanisms and the competition between them and in systematically reducing the inherent computational complexity. Furthermore, the speed of innovation in these areas is generating new modelling challenges.
In addition to the research undertaken by OCCAM's faculty and research fellows, the following projects are currently being undertaken by PDRAs and students:
- REE1: Lattice Boltzmann methods for multiphase flow in porous media with applications to CO2 sequestration
- REE2: Solvers for petroleum reservoir simulation
- REE3: Desert landforms and coastal geomorphology
- REE4: Stochastic differential equations for oilfield history matching
- REE5: Uncertainty analysis of regional and global climate forecasts
- REE6: Current generation in photovoltaic cell
- REE7: Two-fluid modelling of large-scale rotation and internal transport barriers in tokamaks
- REE8: Local adaptive timestepping for multiphase flow in porous media
- REE9: Solar energy: organic photovoltaics
- REE10: Modelling and predicting climate change
- REE11-1: Mathematical modelling of membrane filtration of water
- REE11-2: Water purification by magnetic separation
- REE12: Mathematical modelling of water purification
- REE13: Mathematical modelling of erosion and corrosion in water-cooled systems
- REE14: Stochastic closures for weather and climate modelling
The current projects are aimed both at developing new algorithms for very large-scale models and exploring new theoretical themes in geomorphology, climate change, and oil recovery.