Project K1

From MACwiki
Jump to navigation Jump to search

Simulating CO2 Sequestration

Kaust CO2 logo2.png

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.


K1.1 Implementation and Optimisation of CO2 Sequestration on HPC Systems
K1.2 Hysteretic Aspects of CO2 Sequestration Modelling
K1.3 Numerical Algorithmics and Interfaces for CO2 Sequestration
K1.4 Modelling of CO2 Sequestration Including Parameter Identification and Numerical Simulations
K1.5 Multi-Phase Flow Simulations on the Pore Scale
K1.6 PDE-Constrained Optimisation in CO2 Sequestration

Cooperation within KAUST and MAC



Subproject Leaders:

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

Project Members:

Dr. Thomas Amler
Andres Botero Halblaub
Dr. Nikolai Botkin
Hans Hacker
Dr. Michael Lieb
Dr. Oleg Pykhteev
Dr. Moritz Simon
Dr. Tobias Weinzierl


Adjoint based optimal control of partially miscible two-phase flow in porous media with applications to CO2 sequestration in underground reservoirs. Moritz Simon, Michael Ulbrich, Optimization and Engineering 16 (1), 2015. p 103-130. Howard Rosenbrock Prize 2015.

Workload Balancing on Heterogeneous Systems: A Case Study of Sparse Grid Interpolation Alin Murarasu, Josef Weidendorfer and Arndt Bode EuroPar Workshop Proceedings, Aug. 2011.

Compact Data Structure and Scalable Algorithms for the Sparse Grid Technique Alin Murarasu, Josef Weidendorfer, Gerrit Buse, Daniel Butnaru and Dirk Pflüger Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Feb. 2011.


Error creating thumbnail: Unable to save thumbnail to destination

Poster (PDF) - Performance Analysis of the Sparse Grid Technique on Hybrid Systems Alin Murarasu, Daniel Butnaru, Gerrit Buse, Dirk Pflüger and Josef Weidendorfer SIMTECH 2011, Stuttgart, Germany, June 14th 2011.

Error creating thumbnail: Unable to save thumbnail to destination

Poster (PDF) - The Sparse Grid Technique on GPUs Alin Murarasu, Josef Weidendorfer and Arndt Bode MAC Workshop 2010, Garching, Germany, July 14th 2010.