Abstract:The CO2 Community Grid aims to use the grid infrastructure to facilitate interdisciplinary collaboration between scientists interested in modeling and simulation of CO2-sequestration. The intention is to create a virtual research arena as a host for locally distributed researchers interested in this field.
The focus is on the sharing of resources by the distributed community, as it is common for grid applications. In contrast to the common approach, our intention is to use the grid infrastructures as a shared work space. The shared entities are computing resources, data and software. Communication channels (message boards, collaborative work spaces, video-conferencing) will be added. The intended workspace should bring together scientists from different research
areas, namely environmental engineers, applied mathematicians and computer scientists. Computing centers will support the activities. The collaborative workspace will be realized as a Virtual Organization (VO), a key concept in grid computing. It is the ideal structure to realize distributed environments.
The research focus of the intended Virtual Organization is on modeling and simulation of CO2-sequestration. Storage of CO2 in deep geological formations is
regarded as a promising option for mitigating climate changes caused by anthropogenic green house gases. Many countries are currently investigating different aspects related to this topic. Among other approaches, numerical investigation proved to be an indispensable tool to understand the underlying processes. The multiscale, multiphysical and non-linear characteristics of the mathematical formulation of this problem makes numerical simulation a challenging problem. Solving the problem requires deep knowledge of processes and results in complex mathematical models, and so the problem be must be approached throug
h an interdisciplinary approach involving experts from the above mentioned research areas. The envisaged numerical simulation of real-world problems requires the usage of high performance compute resources. A cooperation with high performance computing centers is therefore essential.