Simulating CO2 Sequestration
This project was implemented in the framework of the partnership between the King Abdullah University of Science and Technology (KAUST) and TUM
The goal of this project is to design and investigate novel approaches to modelling and simulation of CO2 sequestration processes, in particular in the context of enhanced oil recovery. The project will involve both fine-grain simulations - with all related aspects from multi-phase schemes via numerical algorithmics to high-performance computing issues - and homogenization approaches to efficiently capture the fine-grain effects on the macro-scale. For that, groups with expertise in flow physics, mathematical modelling, numerical analysis, numerical algorithmics, optimisation and inverse problems, and high-performance computing and HPC systems join their forces. Topics addressed will cover multi-scale modelling and homogenisation, fully-resolved pore-scale simulation, constrained optimisation of the sequestration process, enhanced numerics and parallelisation, and HPC implementation. We expect close relations to the "Virtual Arabia" project proposal, where the research done here can serve as an application scenario for the simulation interface, and we expect close relations to the KAUST 3D Modelling and Visualisation Centre and the KAUST Computational Earth Sciences Centre.
For the latest developments please check the individual subprojects bellow.
Cooperation within KAUST and MAC
|Prof. Dr. Hans-Joachim Bungartz (Principal Investigator)||Scientific Computing|
|Prof. Dr. Dr.-Ing. habil. Arndt Bode||Computer Architecture|
|Prof. Dr. Martin Brokate||Numerical Mathematics and Control Theory|
|Prof. Dr. Drs. h.c.Karl-Heinz Hoffmann||Numerical Mathematics and Control Theory|
|Prof. Dr.-Ing. Michael Manhart||Hydromechanics|
|Prof. Dr. Michael Ulbrich||Mathematical Optimisation|
|Andreas Botero Halblaub|
|Dr. Nikolai Botkin|
|Dr. Michael Lieb|
|Dr. Oleg Pykhteev|
|Dr. Moritz Simon|
|Dr. Tobias Weinzierl|
Please check the individual subprojects for up to date publications lists.