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Energy of injection-induced seismicity predicted from in-situ experiments
The ability to predict the magnitude of an earthquake caused by deep fluid injections is an important factor for assessing the safety of the reservoir storage and the seismic hazard. Here, we propose a new approach to evaluate the seismic energy released during fluid injection by integrating injecti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428893/ https://www.ncbi.nlm.nih.gov/pubmed/30899030 http://dx.doi.org/10.1038/s41598-019-41306-x |
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author | De Barros, Louis Cappa, Frédéric Guglielmi, Yves Duboeuf, Laure Grasso, Jean-Robert |
author_facet | De Barros, Louis Cappa, Frédéric Guglielmi, Yves Duboeuf, Laure Grasso, Jean-Robert |
author_sort | De Barros, Louis |
collection | PubMed |
description | The ability to predict the magnitude of an earthquake caused by deep fluid injections is an important factor for assessing the safety of the reservoir storage and the seismic hazard. Here, we propose a new approach to evaluate the seismic energy released during fluid injection by integrating injection parameters, induced aseismic deformation, and the distance of earthquake sources from injection. We use data from ten injection experiments performed at a decameter scale into fault zones in limestone and shale formations. We observe that the seismic energy and the hydraulic energy similarly depend on the injected fluid volume (V), as they both scale as V(3/2). They show, however, a large discrepancy, partly related to a large aseismic deformation. Therefore, to accurately predict the released seismic energy, aseismic deformation should be considered in the budget through the residual deformation measured at the injection. Alternatively, the minimal hypocentral distance from injection points and the critical fluid pressure for fault reactivation can be used for a better prediction of the seismic moment in the total compilation of earthquakes observed during these experiments. Complementary to the prediction based only on the injected fluid volume, our approach opens the possibility of using alternative monitoring parameters to improve traffic-light protocols for induced earthquakes and the regulation of operational injection activities. |
format | Online Article Text |
id | pubmed-6428893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64288932019-03-28 Energy of injection-induced seismicity predicted from in-situ experiments De Barros, Louis Cappa, Frédéric Guglielmi, Yves Duboeuf, Laure Grasso, Jean-Robert Sci Rep Article The ability to predict the magnitude of an earthquake caused by deep fluid injections is an important factor for assessing the safety of the reservoir storage and the seismic hazard. Here, we propose a new approach to evaluate the seismic energy released during fluid injection by integrating injection parameters, induced aseismic deformation, and the distance of earthquake sources from injection. We use data from ten injection experiments performed at a decameter scale into fault zones in limestone and shale formations. We observe that the seismic energy and the hydraulic energy similarly depend on the injected fluid volume (V), as they both scale as V(3/2). They show, however, a large discrepancy, partly related to a large aseismic deformation. Therefore, to accurately predict the released seismic energy, aseismic deformation should be considered in the budget through the residual deformation measured at the injection. Alternatively, the minimal hypocentral distance from injection points and the critical fluid pressure for fault reactivation can be used for a better prediction of the seismic moment in the total compilation of earthquakes observed during these experiments. Complementary to the prediction based only on the injected fluid volume, our approach opens the possibility of using alternative monitoring parameters to improve traffic-light protocols for induced earthquakes and the regulation of operational injection activities. Nature Publishing Group UK 2019-03-21 /pmc/articles/PMC6428893/ /pubmed/30899030 http://dx.doi.org/10.1038/s41598-019-41306-x Text en © The Author(s) 2019 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/. |
spellingShingle | Article De Barros, Louis Cappa, Frédéric Guglielmi, Yves Duboeuf, Laure Grasso, Jean-Robert Energy of injection-induced seismicity predicted from in-situ experiments |
title | Energy of injection-induced seismicity predicted from in-situ experiments |
title_full | Energy of injection-induced seismicity predicted from in-situ experiments |
title_fullStr | Energy of injection-induced seismicity predicted from in-situ experiments |
title_full_unstemmed | Energy of injection-induced seismicity predicted from in-situ experiments |
title_short | Energy of injection-induced seismicity predicted from in-situ experiments |
title_sort | energy of injection-induced seismicity predicted from in-situ experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428893/ https://www.ncbi.nlm.nih.gov/pubmed/30899030 http://dx.doi.org/10.1038/s41598-019-41306-x |
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