Benchmark dataset for pore-scale CO2-water interaction

Accurately capturing the complex interaction between CO2 and water in
porous media at the pore scale is essential for various geoscience
applications, including carbon capture and storage (CCS). We introduce a
comprehensive dataset generated from high-fidelity numerical simulations
to capture the intricate interaction between CO2 and water at the pore
scale. The dataset consists of 624 2D samples, each of size 512x512 with a
resolution of 35 μm, covering 100 time steps under a constant CO2
injection rate. It includes various levels of heterogeneity, represented
by different grain sizes with random variation in spacing, offering a
robust testbed for developing predictive models. This dataset provides
high-resolution temporal and spatial information crucial for benchmarking
machine learning models.