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Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation

Sub surface operations for energy production such as gas storage, fluid injection or hydraulic fracking modify the physical properties of the crust, in particular seismic velocity and anelastic attenuation. Continuously measuring these properties may be crucial to monitor the status of the reservoir...

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Autores principales: Convertito, Vincenzo, De Matteis, Raffaella, Amoroso, Ortensia, Capuano, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314424/
https://www.ncbi.nlm.nih.gov/pubmed/35879601
http://dx.doi.org/10.1038/s41598-022-16815-x
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author Convertito, Vincenzo
De Matteis, Raffaella
Amoroso, Ortensia
Capuano, Paolo
author_facet Convertito, Vincenzo
De Matteis, Raffaella
Amoroso, Ortensia
Capuano, Paolo
author_sort Convertito, Vincenzo
collection PubMed
description Sub surface operations for energy production such as gas storage, fluid injection or hydraulic fracking modify the physical properties of the crust, in particular seismic velocity and anelastic attenuation. Continuously measuring these properties may be crucial to monitor the status of the reservoir. Here we propose a not usual use of the empirical ground-motion prediction equations (GMPEs) to monitor large-scale medium properties variations in a reservoir during fluid injection experiments. In practice, peak-ground velocities recorded during field operations are used to update the coefficients of a reference GMPE whose variation can be physically interpreted in terms of anelastic attenuation and seismic velocity. We apply the technique to earthquakes recorded at The Geysers geothermal field in Southern California and events occurred in the St. Gallen (Switzerland) geothermal field. Our results suggest that the GMPEs can be effectively used as a proxy for some reservoir properties variation by using induced earthquakes recorded at relatively dense networks.
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spelling pubmed-93144242022-07-27 Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation Convertito, Vincenzo De Matteis, Raffaella Amoroso, Ortensia Capuano, Paolo Sci Rep Article Sub surface operations for energy production such as gas storage, fluid injection or hydraulic fracking modify the physical properties of the crust, in particular seismic velocity and anelastic attenuation. Continuously measuring these properties may be crucial to monitor the status of the reservoir. Here we propose a not usual use of the empirical ground-motion prediction equations (GMPEs) to monitor large-scale medium properties variations in a reservoir during fluid injection experiments. In practice, peak-ground velocities recorded during field operations are used to update the coefficients of a reference GMPE whose variation can be physically interpreted in terms of anelastic attenuation and seismic velocity. We apply the technique to earthquakes recorded at The Geysers geothermal field in Southern California and events occurred in the St. Gallen (Switzerland) geothermal field. Our results suggest that the GMPEs can be effectively used as a proxy for some reservoir properties variation by using induced earthquakes recorded at relatively dense networks. Nature Publishing Group UK 2022-07-25 /pmc/articles/PMC9314424/ /pubmed/35879601 http://dx.doi.org/10.1038/s41598-022-16815-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Convertito, Vincenzo
De Matteis, Raffaella
Amoroso, Ortensia
Capuano, Paolo
Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
title Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
title_full Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
title_fullStr Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
title_full_unstemmed Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
title_short Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
title_sort ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314424/
https://www.ncbi.nlm.nih.gov/pubmed/35879601
http://dx.doi.org/10.1038/s41598-022-16815-x
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