Pumping test analysis with welltestpy

Description

In this workflow, we analyse two pumping test campaigns on two field sites:

• "Horkheimer Insel" (Heilbronn, Germany)
• "Lauswiesen" (Tübingen, Germany)

The aim is to estimate parameters of heterogeneity from transient puming test data and to analyse their sensitivities.

Target parameters

• mean of log-transmissivity
• variance of log-transmissivity
• length scale of log-transmissivity
• storage

Applied methods

The applied methods utilizing effecitive head solutions for the groundwater flow equation under a pumping test condition are described in:

Zech, A., Müller, S., Mai, J., Heße, F., and Attinger, S.: Extending Theis’ Solution: Using Transient Pumping Tests to Estimate Parameters of Aquifer Heterogeneity, Water Resour. Res., 52, 6156–6170, https://doi.org/10.1002/2015WR018509, 2016.

These methods were implemented in welltestpy to automatically interprete pumping test data.

The underlying type-curves are implemented in AnaFlow.

Data sources

The data for the "Horkheimer Insel" field site was manually taken from:

Schad H.: Variability of hydraulic parameters in non-uniform porous media: experiments and stochastic modeling at different scales. University Tübingen; 1997. Ph.D. thesis.

The pumping data from the "Lauswiesen" field site was kindly provided by Dr. Carsten Leven-Pfister and is made available on a repository of the University of Tübingen: Research Data Portal FDAT

Citable as:

Leven, C. (2020): Pumping Tests in Wells B1-B5 at the Hydrogeological Research Site Lauswiesen, Eberhard Karls Universität Tübingen, http://hdl.handle.net/10900.1/bfb0b0f7-7065-4a24-8a91-92ad8aa8fc40

Structure

The workflow is organized by the following structure:

• data/
  • contains the campaign files for both sites in the welltestpy format
  • contains time series for diagnostic plots
• src/ - contains the scripts to produce the results
  • 00_wtp_plot.py - plotting well-constellation and campaign overviews
  • 01_est_run.sh - bash file running 02_para_estimation.py in parallel
  • 01b_est_run.sh - bash file running 02b_para_estimation.py in parallel
  • 02_para_estimation.py - estimate parameters of heterogeneity from the pumping tests
  • 02b_para_estimation.py - estimate equivalent parameters of homogeneity the pumping tests
  • 03_postpro_results.py - plotting the estimation results for both sites
  • 04_postpro_sensitivity.py - plotting the sensitivity results for both sites
  • 05_est_radial_sens.sh - bash file running 06_rad_sens.py in parallel
  • 06_rad_sens.py - estimate parameter sensitivites depending on the radial distance to the pumping well. when run in serial, results will be plotted.
  • 07_comparison_len_scale.py - generate comparison plot for different length scales
  • 08_check_unconfined_effect.py - generate diagnostic plots
• results/ - all produced results

Python environment

Main Python dependencies are stored in requirements.txt:

welltestpy==1.0.3
anaflow==1.0.1
spotpy==1.5.9
mpi4py==3.0.2
matplotlib

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