Analyzing the Herten Aquifer with GSTools
Description
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
Structure
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
Python environment
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.txtContact
You can contact us via [email protected].
License
MIT © 2021