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GS-Frame Gitter

Overview

This project aims to determine the Bayesian data worth of pumping test data using informative prior distributions.

Structure

The project is organized as follows

  • data/ - here you can find the data used in this project
  • priors/ - priors for the Bayesian analysis
  • src/ - here you can find the Python scripts of the project
  • results/ - here your can find the results and plots
  • README.md - description of the project

Python environment

To make the example reproducible, we provide the following files:

  • requirements.txt - requirements for pip to install all needed packages
  • spec-file.txt - specification file to create the original conda environment

Contact

You can contact me via [email protected].

License

MIT © 2020