MRST - MATLAB Reservoir Simulation Toolbox
A free open-source community code for rapid prototyping of new methods for modelling and simulation of flow in porous media. Has a large user community from all over the world.
Underground gas storage can balance variations in production and demand and provide reserve capacity for energy systems. For hydrogen, it is particularly important to understand how the gas moves, dissolves in formation water and interacts with other gases and microbial activity. These processes affect both the quantity and purity of the gas that can be recovered.
We work with industrial partners and research organisations to:
Contact our Applied Computational Science research group to discuss a storage scenario, a modelling challenge or the need for new simulation capabilities.
Hydrogen density and solubility in formation water influence its distribution and transport through a reservoir. Models therefore need a consistent description of the relationships between pressure, temperature, salinity and gas composition.
We develop and apply thermodynamic models for hydrogen–brine systems. These are used to generate pressure–volume–temperature (PVT) tables that incorporate phase behaviour into efficient flow simulations. Our work includes both simplified descriptions of phase behaviour and compositional models that track several chemical components in the gas and aqueous phases.
Our research focuses particularly on storage in saline aquifers. We also contribute to interdisciplinary studies of hydrogen storage in depleted oil and gas reservoirs.
Microorganisms can consume hydrogen and alter the composition of the stored gas. One example is methanogenesis, in which hydrogen and carbon dioxide are converted into methane and water:
4H2 + CO2 → CH4 + 2H2O
We couple models of microbial growth and reactions with compositional multiphase flow. This allows us to investigate how hydrogen and carbon dioxide availability, transport processes and operating conditions affect hydrogen loss and gas purity. The models also account for molecular diffusion and the effects of microbial clogging.
Sensitivity analyses help identify which assumptions and parameters have the greatest influence on the results. Simulations can therefore also indicate where improved data and experimental investigations would be particularly valuable.
A central part of our work is the development of the MATLAB Reservoir Simulation Toolbox (MRST). Two modules specifically address hydrogen storage:
Open source code makes the models and numerical methods available for inspection, reproducibility and further development. The tools can be adapted to new questions and used to compare the influence of different physical and biochemical processes.
We contribute to HYDROGENi, a centre for environment-friendly energy research focused on hydrogen and ammonia. Collaboration with experimental researchers and geoscientists connects model development with questions about storage behaviour and the practical use of hydrogen as an energy carrier.
A free open-source community code for rapid prototyping of new methods for modelling and simulation of flow in porous media. Has a large user community from all over the world.
Experimental Julia framework for fully differentiable multiphysics simulators based on implicit finite-volume methods with automatic differentiation.
HYDROGENi is a centre for environment-friendly energy research (FME) dedicated to the research and innovations within hydrogen and ammonia needed to meet the 2030 and 2050 goals of the Norwegian hydrogen road map.