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
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
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.txtYou can contact us via [email protected].
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