Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points

These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They contain 100 and 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 320 m x 1280 m x 320 m with 64 x 256 x 64 cells. The varying parameters of the data sets are pressure and permeability. Both are constant within a data point, but vary across the data sets. Other parameters that define the data sets, such as porosity, are chosen to be as close as possible to reality. Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122. Generated with scripts from <a href="https://github.com/JuliaPelzer/Dataset-generation-with-Pflotran">Dataset generation with Pflotran</a> with arguments given in inputs/args.yaml.