Py4HIP: Python tool for Heat-In-Place calculations. Bott, J., Benoit, L., Koltzer, N., & Anikiev, D. 2022. ![Py4HIP: Python tool for Heat-In-Place calculations [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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\textasciicircum2.
@misc{bott_py4hip_2022,
title = {{Py4HIP}: {Python} tool for {Heat}-{In}-{Place} calculations},
copyright = {European Union Public Licence 1.2 (C) 2022 the authors and Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences},
shorttitle = {{Py4HIP}},
url = {https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=d56deaf8-cab0-11ec-9531-ca1f3ed77ce8},
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{\textasciicircum}2.},
urldate = {2023-01-28},
publisher = {GFZ Data Services},
author = {Bott, Judith and Benoit, Laureen and Koltzer, Nora and Anikiev, Denis},
collaborator = {Bott, Judith and Bott, Judith and Benoit, Laureen and Koltzer, Nora and Anikiev, Denis and Bott, Judith},
year = {2022},
doi = {10.5880/GFZ.4.5.2022.001},
keywords = {EARTH SCIENCE, EARTH SCIENCE \> SOLID EARTH, EARTH SCIENCE \> SOLID EARTH \> GEOTHERMAL DYNAMICS, contained energy, geothermal potential, heat in place, rock properties, subsurface reservoir},
}
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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. 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