The platform integrates geological databases with numerical carbon storage models to provide interactive 3D GIS visualization of simulation results. Through natural language queries and AI Agent services, users can rapidly access simulation results and visualize the temporal evolution of CO₂ storage. By supporting scientific analysis and site selection, the platform provides intelligent decision support for offshore carbon storage in Taiwan.

The platform provides an HPC-based, multi-model simulation environment for carbon storage applications by integrating TOUGH for CO₂ migration analysis, WRF for wind field simulation, WWIII for wave prediction, and POM for ocean current analysis. Combined with large language models and 3D GIS technologies, it enables intelligent data integration, interactive visualization, and decision support for carbon storage site selection, risk assessment, and planning.

The platform supports carbon storage site selection, marine geological surveys, and net-zero decision-making. It enables governments, research institutions, and industry to evaluate subsurface geology and CO₂ storage potential. By integrating AI Agent services, 3D GIS visualization, and HPC simulation, it enhances planning efficiency, reduces assessment costs, and accelerates offshore carbon storage deployment, supporting Taiwan's net-zero transition and sustainable development.