The extended Theis solution in 2D
Description
The extended Theis solution presented by Zech et al. (2016)
reproduces the ensemble mean drawdown
of pumping tests in heterogenous media with a log-normal transmissivity
distribution following a Gaussian variogram.
In this workflow, we demonstrate that the extended Theis solution reproduces
the ensemble mean drawdown of pumping tests on synthetic aquifers for multiple
parameter constellations.
These synthetic aquifers are created with
GSTools
and the pumping tests are simulated by
ogs5py.
The extended Theis solution was presented in:
Zech, A., Müller, S., Mai, J., Heße, F., & Attinger, S., 2016.
Extending theis’ solution: Using transient pumping tests to estimate parameters of aquifer heterogeneity.
Water Resources Research 52, 6156–617. https://dx.doi.org/10.1002/2015WR018509
Structure
The workflow is organized by the following structure:
src/- here you should place your python scripts00_run_sim_mpi.sh- bash file running01_run_sim.pyin parallel01_run_sim.py- run all ensemble simulations for pumping tests02_compare_mean.py- generate comparision plots for the ensemble means03_trans_plot.py- plot a realization of a gaussian transmissivity field04_ext_theis_compare.py- plotting the effective Theis solution against classical Theis
results/- all produced results
Python environment
Main Python dependencies are stored in requirements.txt:
gstools==1.3.0
anaflow==1.0.1
ogs5py==1.1.1
matplotlib
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