TY - DATA
T1 - Data underlying the publication: AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
PY - 2025/09/10
AU - Gabriel Serrao Seabra
AU - Nikolaj Mücke
AU - Denis Voskov
AU - Vinicius Silva
AU - Femke Vossepoel
UR - 
DO - 10.4121/fd03d033-1d73-4b9a-91b4-b47e9a102a04.v1
KW - Geological carbon storage
KW - reservoir simulation
KW - uncertainty quantification
KW - CO₂ injection
KW - AlluvsIm
KW - DARTS
N2 - <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>
ER -