2026-04-16T14:13:19Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:73752024-01-29T17:08:40ZDOIDBDOIDB.GFZfalse4DOIDB.GFZ
10.5880/GFZ.4.5.2022.001
Bott, Judith
Judith
Bott
0000-0002-4729-2659
GFZ German Research Centre for Geosciences, Potsdam. Germany
Benoit, Laureen
Laureen
Benoit
0000-0003-1477-0121
Christian-Albrecht University of Kiel, Kiel, Germany
Koltzer, Nora
Nora
Koltzer
0000-0001-8151-8722
GFZ German Research Centre for Geosciences, Potsdam. Germany
Anikiev, Denis
Denis
Anikiev
0000-0003-4097-5702
GFZ German Research Centre for Geosciences, Potsdam. Germany
Py4HIP: Python tool for Heat-In-Place calculations
GFZ Data Services
2022
heat in place
geothermal potential
contained energy
subsurface reservoir
rock properties
EARTH SCIENCE
EARTH SCIENCE > SOLID EARTH
EARTH SCIENCE > SOLID EARTH > GEOTHERMAL DYNAMICS
Bott, Judith
Judith
Bott
0000-0002-4729-2659
GFZ German Research Centre for Geosciences, Potsdam. Germany
Bott, Judith
Judith
Bott
0000-0002-4729-2659
GFZ German Research Centre for Geosciences, Potsdam. Germany
Benoit, Laureen
Laureen
Benoit
0000-0003-1477-0121
Christian-Albrecht University of Kiel, Kiel, Germany
Koltzer, Nora
Nora
Koltzer
0000-0001-8151-8722
GFZ German Research Centre for Geosciences, Potsdam. Germany
Anikiev, Denis
Denis
Anikiev
0000-0003-4097-5702
GFZ German Research Centre for Geosciences, Potsdam. Germany
Bott, Judith
GFZ German Research Centre for Geosciences, Potsdam. Germany
2020-11-03
Software
https://git.gfz-potsdam.de/basin-modelling/python/py4hip
https://tuprints.ulb.tu-darmstadt.de/id/eprint/3067
10.1190/1.1443207
10.1016/j.geothermics.2015.02.004
10.1016/0375-6505(78)90002-0
10.2172/7348122
10.1016/S1474-7065(03)00069-X
European Union Public Licence 1.2 (C) 2022 the authors and Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences
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.
Requirements:
Py4HIP requires Python >= 3.5, JupyterLab, and uses the following packages:
• numpy
• pandas
• pathlib (for creating folders)
• matplotlib (for plotting figures)