We are going to analyse the Herten aquifer, which is situated in Southern Germany. Multiple outcrop faces where surveyed and interpolated to a 3D dataset. In these publications, you can find more information about the data:
Bayer, Peter; Comunian, Alessandro; Höyng, Dominik; Mariethoz, Gregoire (2015): Physicochemical properties and 3D geostatistical simulations of the Herten and the Descalvado aquifer analogs. PANGAEA, https://doi.org/10.1594/PANGAEA.844167, Supplement to: Bayer, P et al. (2015): Three-dimensional multi-facies realizations of sedimentary reservoir and aquifer analogs. Scientific Data, 2, 150033, https://doi.org/10.1038/sdata.2015.33
The workflow is organized by the following structure:
data/- contains a single realization of the herten aquifer downloaded by
00_download.py
- contains a single realization of the herten aquifer downloaded by
src/00_download.py- downloading the herten aquifer and deriving a single transmissivity realization01_herten.py- analyzing the herten aquifer and generating conditioned random fields
results/- all produced results
Main Python dependencies are stored in requirements.txt:
gstools==1.3.1
pyvista
matplotlib
seaborn
You can install them with pip (potentially in a virtual environment):
pip install -r requirements.txtYou can contact us via [email protected].
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