Released
SoftwarePy4HIP: Python tool for Heat-In-Place calculations
Cite as:
Bott, Judith; Benoit, Laureen; Koltzer, Nora; Anikiev, Denis (2022): Py4HIP: Python tool for Heat-In-Place calculations. GFZ Data Services. https://doi.org/10.5880/GFZ.4.5.2022.001Status
I N R E V I E W : Bott, Judith; Benoit, Laureen; Koltzer, Nora; Anikiev, Denis (2022): Py4HIP: Python tool for Heat-In-Place calculations. GFZ Data Services. https://doi.org/10.5880/GFZ.4.5.2022.001
Abstract
Py4HIP is an open-source software tool for Heat-In-Place calculations implemented as a self-explanatory Jupyter notebook written in Python (Py4HIP.ipynb) Calculating the Heat In Place (HIP) is a standard method for assessing the geothermal potential for a defined geological unit (e.g., Nathenson, 1975; Muffler and Cataldi, 1978; Garg and Combs, 2015).
The respective implementation in Py4HIP is based on a volumetric quantification of contained energy after Muffler and Cataldi (1978), where the geological unit at hand is considered spatially variable in terms of its temperature, thickness, porosity, density and volumetric heat capacity of its solid and fluid (brine) components. The energy values provided by Py4HIP as ASCII lists and map representations correspond to the stored energy in J/m^2.
Technical Information
Requirements:Py4HIP requires Python >= 3.5, JupyterLab, and uses the following packages:
• numpy
• pandas
• pathlib (for creating folders)
• matplotlib (for plotting figures)
Authors
- Bott, Judith
;GFZ German Research Centre for Geosciences, Potsdam. Germany - Benoit, Laureen;RWTH Aachen University, Aachen, Germany
- Koltzer, Nora;GFZ German Research Centre for Geosciences, Potsdam. Germany
- Anikiev, Denis;GFZ German Research Centre for Geosciences, Potsdam. Germany
Contact
- Bott, Judith (Senior Scientist) ; GFZ German Research Centre for Geosciences, Potsdam. Germany;
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