welltestpy 1.1.0rc1

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

Welcome to welltestpy

Purpose

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

Installation

You can install the latest version with the following command:

pip install welltestpy

Documentation for welltestpy

You can find the documentation under https://welltestpy.readthedocs.io.

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
campaign.plot_wells()
campaign.plot()

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)
estimation.run()

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

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

Requirements

• NumPy >= 1.14.5
• SciPy >= 1.1.0
• Pandas >= 0.23.2
• AnaFlow >= 1.0.0
• SpotPy >= 1.5.0
• Matplotlib >= 3.0.0

Contact

You can contact us via [e-mail].

License

MIT © 2018-2021