v1.0

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
• src/
  • 00_download.py - downloading the herten aquifer and deriving a single transmissivity realization
  • 01_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.txt

Contact

You can contact us via [email protected].

License

MIT © 2021