3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models

The assessment of the deep geothermal potential is an essential task during the early phases of any geothermal project. The well-known “Heat-In-Place” volumetric method is the most widely used technique to estimate the available stored heat and the recoverable heat fraction of deep geothermal reserv...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Guillem Piris, Ignasi Herms, Albert Griera, Montse Colomer, Georgina Arnó, Enrique Gomez-Rivas
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
T
Accès en ligne:https://doaj.org/article/5ed04f9c5c3e4a0f9a846ba204ce554a
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
id oai:doaj.org-article:5ed04f9c5c3e4a0f9a846ba204ce554a
record_format dspace
spelling oai:doaj.org-article:5ed04f9c5c3e4a0f9a846ba204ce554a2021-11-11T16:03:40Z3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models10.3390/en142173381996-1073https://doaj.org/article/5ed04f9c5c3e4a0f9a846ba204ce554a2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7338https://doaj.org/toc/1996-1073The assessment of the deep geothermal potential is an essential task during the early phases of any geothermal project. The well-known “Heat-In-Place” volumetric method is the most widely used technique to estimate the available stored heat and the recoverable heat fraction of deep geothermal reservoirs at the regional scale. Different commercial and open-source software packages have been used to date to estimate these parameters. However, these tools are either not freely available, can only consider the entire reservoir volume or a specific part as a single-voxel model, or are restricted to certain geographical areas. The 3DHIP-Calculator tool presented in this contribution is an open-source software designed for the assessment of the deep geothermal potential at the regional scale using the volumetric method based on a stochastic approach. The tool estimates the Heat-In-Place and recoverable thermal energy using 3D geological and 3D thermal voxel models as input data. The 3DHIP-Calculator includes an easy-to-use graphical user interface (GUI) for visualizing and exporting the results to files for further postprocessing, including GIS-based map generation. The use and functionalities of the 3DHIP-Calculator are demonstrated through a case study of the Reus-Valls sedimentary basin (NE, Spain).Guillem PirisIgnasi HermsAlbert GrieraMontse ColomerGeorgina ArnóEnrique Gomez-RivasMDPI AGarticleHeat-In-Placerecoverable heatdeep geothermal potentialmappingMATLABTechnologyTENEnergies, Vol 14, Iss 7338, p 7338 (2021)
institution DOAJ
collection DOAJ
language EN
topic Heat-In-Place
recoverable heat
deep geothermal potential
mapping
MATLAB
Technology
T
spellingShingle Heat-In-Place
recoverable heat
deep geothermal potential
mapping
MATLAB
Technology
T
Guillem Piris
Ignasi Herms
Albert Griera
Montse Colomer
Georgina Arnó
Enrique Gomez-Rivas
3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models
description The assessment of the deep geothermal potential is an essential task during the early phases of any geothermal project. The well-known “Heat-In-Place” volumetric method is the most widely used technique to estimate the available stored heat and the recoverable heat fraction of deep geothermal reservoirs at the regional scale. Different commercial and open-source software packages have been used to date to estimate these parameters. However, these tools are either not freely available, can only consider the entire reservoir volume or a specific part as a single-voxel model, or are restricted to certain geographical areas. The 3DHIP-Calculator tool presented in this contribution is an open-source software designed for the assessment of the deep geothermal potential at the regional scale using the volumetric method based on a stochastic approach. The tool estimates the Heat-In-Place and recoverable thermal energy using 3D geological and 3D thermal voxel models as input data. The 3DHIP-Calculator includes an easy-to-use graphical user interface (GUI) for visualizing and exporting the results to files for further postprocessing, including GIS-based map generation. The use and functionalities of the 3DHIP-Calculator are demonstrated through a case study of the Reus-Valls sedimentary basin (NE, Spain).
format article
author Guillem Piris
Ignasi Herms
Albert Griera
Montse Colomer
Georgina Arnó
Enrique Gomez-Rivas
author_facet Guillem Piris
Ignasi Herms
Albert Griera
Montse Colomer
Georgina Arnó
Enrique Gomez-Rivas
author_sort Guillem Piris
title 3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models
title_short 3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models
title_full 3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models
title_fullStr 3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models
title_full_unstemmed 3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models
title_sort 3dhip-calculator—a new tool to stochastically assess deep geothermal potential using the heat-in-place method from voxel-based 3d geological models
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/5ed04f9c5c3e4a0f9a846ba204ce554a
work_keys_str_mv AT guillempiris 3dhipcalculatoranewtooltostochasticallyassessdeepgeothermalpotentialusingtheheatinplacemethodfromvoxelbased3dgeologicalmodels
AT ignasiherms 3dhipcalculatoranewtooltostochasticallyassessdeepgeothermalpotentialusingtheheatinplacemethodfromvoxelbased3dgeologicalmodels
AT albertgriera 3dhipcalculatoranewtooltostochasticallyassessdeepgeothermalpotentialusingtheheatinplacemethodfromvoxelbased3dgeologicalmodels
AT montsecolomer 3dhipcalculatoranewtooltostochasticallyassessdeepgeothermalpotentialusingtheheatinplacemethodfromvoxelbased3dgeologicalmodels
AT georginaarno 3dhipcalculatoranewtooltostochasticallyassessdeepgeothermalpotentialusingtheheatinplacemethodfromvoxelbased3dgeologicalmodels
AT enriquegomezrivas 3dhipcalculatoranewtooltostochasticallyassessdeepgeothermalpotentialusingtheheatinplacemethodfromvoxelbased3dgeologicalmodels
_version_ 1718432416603832320