%0 Generic
%A Serrao Seabra, Gabriel
%A Mücke, Nikolaj
%A Voskov, Denis
%A Silva, Vinicius
%A Vossepoel, Femke
%D 2025
%T Data underlying the publication: AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
%U 
%R 10.4121/fd03d033-1d73-4b9a-91b4-b47e9a102a04.v1
%K Geological carbon storage
%K reservoir simulation
%K uncertainty quantification
%K CO₂ injection
%K AlluvsIm
%K DARTS
%X <p>This dataset contains 1,219 NetCDF files generated with the Delft Advanced Research Terra Simulator (DARTS) using geological models produced with AlluvsIm. Each file represents a distinct realization of channelized reservoirs and includes pressure, saturation, porosity, permeability, and component flow fields. The dataset supports research on geological carbon storage, enhanced oil recovery, and uncertainty quantification, and was created for the study "AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage" (IJGGC, 2024).</p>
%I 4TU.ResearchData