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A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France)
An increasing number of cities are interested in deep geothermal energy in order to increase the share of renewable energies in their district heating networks. To reduce the risks related to deep geothermal energy operations, reliable digital models are needed: they make it possible to predict the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790019/ https://www.ncbi.nlm.nih.gov/pubmed/36566270 http://dx.doi.org/10.1038/s41597-022-01876-4 |
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author | Mas, Perrine Calcagno, Philippe Caritg-Monnot, Séverine Beccaletto, Laurent Capar, Laure Hamm, Virginie |
author_facet | Mas, Perrine Calcagno, Philippe Caritg-Monnot, Séverine Beccaletto, Laurent Capar, Laure Hamm, Virginie |
author_sort | Mas, Perrine |
collection | PubMed |
description | An increasing number of cities are interested in deep geothermal energy in order to increase the share of renewable energies in their district heating networks. To reduce the risks related to deep geothermal energy operations, reliable digital models are needed: they make it possible to predict the depth of aquifers away from borehole locations, and their thermal and hydrological evolution by supporting detailed water and heat flow simulations. This paper presents a 3D geomodel developed for this purpose in the southern Paris Basin of France in the Orléans area. The 3D geomodel integrates various data such as reprocessed and interpreted seismic lines, well data, and a pre-existing larger-scale and lower-resolution 3D geological model. The resulting 3D geomodel gives a new and reliable representation of the main aquifers underlying the study area. Within the framework of the project, hydrological and thermal simulations were then performed based on this 3D geomodel. Other environmental investigations (e.g. CO(2) storage) and teaching/communication activities could also benefit from the dataset. |
format | Online Article Text |
id | pubmed-9790019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97900192022-12-26 A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) Mas, Perrine Calcagno, Philippe Caritg-Monnot, Séverine Beccaletto, Laurent Capar, Laure Hamm, Virginie Sci Data Data Descriptor An increasing number of cities are interested in deep geothermal energy in order to increase the share of renewable energies in their district heating networks. To reduce the risks related to deep geothermal energy operations, reliable digital models are needed: they make it possible to predict the depth of aquifers away from borehole locations, and their thermal and hydrological evolution by supporting detailed water and heat flow simulations. This paper presents a 3D geomodel developed for this purpose in the southern Paris Basin of France in the Orléans area. The 3D geomodel integrates various data such as reprocessed and interpreted seismic lines, well data, and a pre-existing larger-scale and lower-resolution 3D geological model. The resulting 3D geomodel gives a new and reliable representation of the main aquifers underlying the study area. Within the framework of the project, hydrological and thermal simulations were then performed based on this 3D geomodel. Other environmental investigations (e.g. CO(2) storage) and teaching/communication activities could also benefit from the dataset. Nature Publishing Group UK 2022-12-24 /pmc/articles/PMC9790019/ /pubmed/36566270 http://dx.doi.org/10.1038/s41597-022-01876-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Mas, Perrine Calcagno, Philippe Caritg-Monnot, Séverine Beccaletto, Laurent Capar, Laure Hamm, Virginie A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) |
title | A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) |
title_full | A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) |
title_fullStr | A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) |
title_full_unstemmed | A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) |
title_short | A 3D geomodel of the deep aquifers in the Orléans area of the southern Paris Basin (France) |
title_sort | 3d geomodel of the deep aquifers in the orléans area of the southern paris basin (france) |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9790019/ https://www.ncbi.nlm.nih.gov/pubmed/36566270 http://dx.doi.org/10.1038/s41597-022-01876-4 |
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