pyfastwell 0.1.2

This project provides tools for fast performance calculations for complex geothermal well architecturses.

Pyfastwell

Pyfastwell is a Python package for performance analysis of geothermal energy projects.

Features

• Calculate geothermal well performance for advanced well architectures based on a advanced Analytical Element Method (AEM)
• Model well trajectories and deviations
• Flexible configuration via YAML files
• Extensible API for custom workflows
• Documentation and tests included

Reference in the literature

The Pyfastwell is based on the AEM model and analytical models as described in:

Fokker, P. A., Verga, F., & Egberts, P. J., 2005 New semianalytic technique to determine horizontal well productivity index in fractured reservoirs. SPE Reservoir Evaluation & Engineering, 8(02), 123-131.

Egberts, P., Shatyrbayeva, I., Fokker, P.A., 2013. Well inflow modelling for wells not aligned to a numerical grid. SPE 165986.

Van Wees, J. D., Kronimus, A., Van Putten, M., Pluymaekers, M., Mijnlieff, H., Van Hooff, P., Obdam, A., & Kramers, L., 2012. *Geothermal aquifer performance assessment

Barros, E.G.D.; Szklarz, S.P.; Khoshnevis Gargar, N.; Wollenweber, J.; van Wees, J.D. Optimization of Well Locations and Trajectories: Comparing Sub-Vertical, Sub-Horizontal and Multi-Lateral Well Concepts for Marginal Geothermal Reservoir in The Netherlands. Energies 2025, 18, 627. DOI

Installation

Install the latest version using pip:

pip install pyfastwell

Optional Dependencies

• Documentation:
  To build and view the documentation, install with the docs extra:

  pip install pyfastwell[docs]
  

• Testing:
  To run tests, install with the tests extra:

  pip install pyfastwell[tests]
  

• Run Jupyter Notebook example:
  To run the notebook example, install with the notebook extra:

  pip install pyfastwell[notebook]
  

Contributing

Contributions are welcome! Please open issues or submit pull requests.

License

GNU General Public License v3 (GPLv3)

Contact information

Jan-Diederik van Wees ([e-mail])

Acknowledgements

This study has been performed as part of the RESULT project (Enhancing REServoirs in Urban deveLopmenT: smart wells and reservoir development). RESULT has been subsidized through the ERANET Cofund GEOTHERMICA (EC Project no. 731117), by the Ministry of Economic Affairs and Climate Policy (the Netherlands), Rannis (Iceland) and GSI (Ireland).

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For more information, see the API Reference or contact the maintainers.