Modeling geological CO2 storage is characterized by scarce data, large spans in spatial and temporal scales, and delicate balances by different physical flow mechanisms. MRST-co2lab offers a set of open-source simulators and workflow tools that have been specially designed to meet these challenges. The software combines results of more than one decade of academic research and development on CO2 storage modeling into a unified toolchain that is easy and intuitive to use. The software is flexible and efficient and can be used to study realistic injection scenarios, or function as a platform for rapid prototyping of new models and computational methods.
More about the software
MRST-co2lab is implemented as an add-on module to the MATLAB Reservoir Simulation Toolbox (MRST) and consists of a family of computational tools that have been developed especially for the study of long-term storage of CO2 in large-scale aquifer systems. The software is intuitive to use and provides you with a wide variety of relevant analysis options. Using one of the graphical user-interfaces, you can interactively explore geological formations from the Norwegian Continental Shelf and visualize migration paths and compute upper theoretical bounds on structural, residual, and solubility trapping. Or, you can use one of the simulators to analyse pressure build-up and plume migration and compute detailed trapping inventories for realistic storage scenarios. Finally, the software offers methods that can be used to develop plans for maximized utilization of storage capacity by optimizing the placement of injection points and injection schedules.
MRST-co2lab is designed to serve multiple user types. On one hand, the software can be used as a graybox simulator that provides reliable modeling of real storage operations. Equally important, the software is designed to be a flexible software platform for research and development of new models and computational methods. The software provides full access to all source code and offers a large number of library functions that can easily be combined and extended to make new fit-for-purpose analysis tools. How to do this is demonstrated through a number of tutorials and worked examples that involving real data.
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