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Short-term forecasting of M(max) during hydraulic fracturing
Previous studies of injection-induced earthquake sequences have shown that the maximum magnitude (M(max)) of injection-induced seismicity increases with the net injected volume (V); however, different proposed seismic-hazard paradigms predict significantly different values of M(max). Using injection...
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/PMC9307812/ https://www.ncbi.nlm.nih.gov/pubmed/35869089 http://dx.doi.org/10.1038/s41598-022-15365-6 |
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author | Li, Ziyan Eaton, David Davidsen, Jörn |
author_facet | Li, Ziyan Eaton, David Davidsen, Jörn |
author_sort | Li, Ziyan |
collection | PubMed |
description | Previous studies of injection-induced earthquake sequences have shown that the maximum magnitude (M(max)) of injection-induced seismicity increases with the net injected volume (V); however, different proposed seismic-hazard paradigms predict significantly different values of M(max). Using injection and seismicity data from two project areas in northeastern British Columbia, Canada, where hydraulic fracturing induced seismicity was observed, we test the predictive power and robustness of three existing and one novel method to estimate M(max). Due to their vastly different values of seismogenic index (Σ), these two project areas represent end-member cases of seismogenic response. Our novel method progressively adjusts the M(max) forecast under the assumption that each recorded event embodies an incremental release of fluid-induced stress. The results indicate that our method typically provides the lowest upper bound of the tested methods and it is less sensitive to site-specific calibration parameters such as Σ. This makes the novel method appealing for operational earthquake forecasting schemes as a real-time mitigation strategy to manage the risks of induced seismicity. |
format | Online Article Text |
id | pubmed-9307812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93078122022-07-24 Short-term forecasting of M(max) during hydraulic fracturing Li, Ziyan Eaton, David Davidsen, Jörn Sci Rep Article Previous studies of injection-induced earthquake sequences have shown that the maximum magnitude (M(max)) of injection-induced seismicity increases with the net injected volume (V); however, different proposed seismic-hazard paradigms predict significantly different values of M(max). Using injection and seismicity data from two project areas in northeastern British Columbia, Canada, where hydraulic fracturing induced seismicity was observed, we test the predictive power and robustness of three existing and one novel method to estimate M(max). Due to their vastly different values of seismogenic index (Σ), these two project areas represent end-member cases of seismogenic response. Our novel method progressively adjusts the M(max) forecast under the assumption that each recorded event embodies an incremental release of fluid-induced stress. The results indicate that our method typically provides the lowest upper bound of the tested methods and it is less sensitive to site-specific calibration parameters such as Σ. This makes the novel method appealing for operational earthquake forecasting schemes as a real-time mitigation strategy to manage the risks of induced seismicity. Nature Publishing Group UK 2022-07-22 /pmc/articles/PMC9307812/ /pubmed/35869089 http://dx.doi.org/10.1038/s41598-022-15365-6 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 Li, Ziyan Eaton, David Davidsen, Jörn Short-term forecasting of M(max) during hydraulic fracturing |
title | Short-term forecasting of M(max) during hydraulic fracturing |
title_full | Short-term forecasting of M(max) during hydraulic fracturing |
title_fullStr | Short-term forecasting of M(max) during hydraulic fracturing |
title_full_unstemmed | Short-term forecasting of M(max) during hydraulic fracturing |
title_short | Short-term forecasting of M(max) during hydraulic fracturing |
title_sort | short-term forecasting of m(max) during hydraulic fracturing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307812/ https://www.ncbi.nlm.nih.gov/pubmed/35869089 http://dx.doi.org/10.1038/s41598-022-15365-6 |
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