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Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California

Multiplet analysis is based on the identification of seismic events with very similar waveforms which are used then to enhance seismological analysis e.g. by precise relocation of sources. In underground fluid injection conditions, it is a tool frequently used for imaging of subsurface fracture syst...

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Autores principales: Staszek, M., Rudziński, Ł., Kwiatek, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668910/
https://www.ncbi.nlm.nih.gov/pubmed/34903757
http://dx.doi.org/10.1038/s41598-021-03267-y
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author Staszek, M.
Rudziński, Ł.
Kwiatek, G.
author_facet Staszek, M.
Rudziński, Ł.
Kwiatek, G.
author_sort Staszek, M.
collection PubMed
description Multiplet analysis is based on the identification of seismic events with very similar waveforms which are used then to enhance seismological analysis e.g. by precise relocation of sources. In underground fluid injection conditions, it is a tool frequently used for imaging of subsurface fracture system. We identify over 150 repeatedly activated seismic sources within seismicity cluster induced by fluid injection in NW part of The Geysers geothermal field (California). Majority of multiple events (ME) occur along N–S oriented planar structure which we interpret as a fault plane. Remaining ME are distributed along structures interpreted as fractures, forming together a system of interconnected cracks enabling fluid migration. Temporal analysis reveals that during periods of relatively low fluid injection the proportion of ME to non-multiple events is higher than during periods of high injection. Moreover, ME which occur within the fault differ in activity rate and source properties from ME designating the fractures and non-multiple events. In this study we utilize observed differences between ME occurring within various structures and non-multiple events to describe hydraulic conditions within the reservoir. We show that spatial and temporal analysis of multiplets can be used for identification and characterization of dominant fluid migration paths.
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spelling pubmed-86689102021-12-15 Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California Staszek, M. Rudziński, Ł. Kwiatek, G. Sci Rep Article Multiplet analysis is based on the identification of seismic events with very similar waveforms which are used then to enhance seismological analysis e.g. by precise relocation of sources. In underground fluid injection conditions, it is a tool frequently used for imaging of subsurface fracture system. We identify over 150 repeatedly activated seismic sources within seismicity cluster induced by fluid injection in NW part of The Geysers geothermal field (California). Majority of multiple events (ME) occur along N–S oriented planar structure which we interpret as a fault plane. Remaining ME are distributed along structures interpreted as fractures, forming together a system of interconnected cracks enabling fluid migration. Temporal analysis reveals that during periods of relatively low fluid injection the proportion of ME to non-multiple events is higher than during periods of high injection. Moreover, ME which occur within the fault differ in activity rate and source properties from ME designating the fractures and non-multiple events. In this study we utilize observed differences between ME occurring within various structures and non-multiple events to describe hydraulic conditions within the reservoir. We show that spatial and temporal analysis of multiplets can be used for identification and characterization of dominant fluid migration paths. Nature Publishing Group UK 2021-12-13 /pmc/articles/PMC8668910/ /pubmed/34903757 http://dx.doi.org/10.1038/s41598-021-03267-y Text en © The Author(s) 2021 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
Staszek, M.
Rudziński, Ł.
Kwiatek, G.
Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California
title Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California
title_full Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California
title_fullStr Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California
title_full_unstemmed Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California
title_short Spatial and temporal multiplet analysis for identification of dominant fluid migration path at The Geysers geothermal field, California
title_sort spatial and temporal multiplet analysis for identification of dominant fluid migration path at the geysers geothermal field, california
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668910/
https://www.ncbi.nlm.nih.gov/pubmed/34903757
http://dx.doi.org/10.1038/s41598-021-03267-y
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