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welltestpy - package to handle well-based Field-campaigns.

Project description

Welcome to welltestpy

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welltestpy provides a framework to handle, process, plot and analyse data from well based field campaigns.


You can install the latest version with the following command:

pip install welltestpy

Documentation for welltestpy

You can find the documentation under

Example 1: A campaign containing a pumping test

In the following, we will take a look at an artificial pumping test campaign, that is stored in a file called Cmp_UFZ-campaign.cmp.

import welltestpy as wtp

# load the campaign
campaign = wtp.load_campaign("Cmp_UFZ-campaign.cmp")

# plot the well constellation and a test overview

This will give the following plots:



Example 2: Estimate transmissivity and storativity

The pumping test from example 1 can now be loaded and used to estimate the values for transmissivity and storativity.

import welltestpy as wtp

campaign = wtp.load_campaign("Cmp_UFZ-campaign.cmp")
estimation = wtp.estimate.Theis("Estimate_theis", campaign, generate=True)

This will give the following plots:

Type-Curve fitting:


Evolution of parameter estimation with SCE:


Scatterplot of paramter distribution during estimation:


The results are:

  • ln(T) = -9.22 which is equivalent to T = 0.99 * 10^-4 m^2/s
  • ln(S) = -9.10 which is equivalent to S = 1.11 * 10^-4

Provided Subpackages      # Subpackage to handle data from field campaigns
welltestpy.estimate  # Subpackage to estimate field parameters
welltestpy.process   # Subpackage to pre- and post-process data     # Subpackage with tools for plotting and triagulation



You can contact us via


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