Bursts of Fast Propagating Swarms of Induced Earthquakes at the Groningen Gas Field

Abstract Gas extraction from the Groningen gas reservoir, located in the northeastern Netherlands, has led to a drop in pressure and drove compaction and induced seismicity. Stress-based models have shown success in forecasting induced seismicity in this particular context and elsewhere, but they generally assume that earthquake clustering is negligible. To assess earthquake clustering at Groningen, we generate an enhanced seismicity catalog using a deep-learning-based workflow. We identify and locate 1369 events between 2015 and 2022, including 660 newly detected events not previously identified by the standard catalog from the Royal Netherlands Meteorological Institute. Using the nearest-neighbor distance approach, we find that 72% of events are background independent events, whereas the remaining 28% belong to clusters. The 55% of the clustered events are swarm-like, whereas the rest are aftershock-like. Among the swarms include five newly identified sequences propagating at high velocities between 3 and 50 km/day along directions that do not follow mapped faults or existing structures and frequently exhibit a sharp turn in the middle of the sequence. The swarms occurred around the time of the maximum compaction rate between November 2016 and May 2017 in the Zechstein layer, above the anhydrite caprock, and well-above the directly induced earthquakes that occur within the reservoir and caprock. We suggest that these swarms are related to the aseismic deformation within the salt formation rather than fluids. This study suggests that the propagating swarms do not always signify fluid migration.

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Publication Details

Journal
Seismological Research Letters
Published
2024-09-05
DOI
https://doi.org/10.1785/0220240107
Citations
7
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
3.74

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article

Bursts of Fast Propagating Swarms of Induced Earthquakes at the Groningen Gas Field

Zachary E. Ross, Yuexin Li, Mateo Acosta, Stephen Bourne et al.
7 citations
Seismological Research Letters
earthquake and tectonic studies
3.74
article

Bursts of Fast Propagating Swarms of Induced Earthquakes at the Groningen Gas Field

Zachary E. Ross, Yuexin Li, Mateo Acosta, Stephen Bourne, Jan van Elk, Jean‐Philippe Avouac, John D. Wilding, Krittanon Sirorattanakul
article en
7 citations

Abstract

Abstract Gas extraction from the Groningen gas reservoir, located in the northeastern Netherlands, has led to a drop in pressure and drove compaction and induced seismicity. Stress-based models have shown success in forecasting induced seismicity in this particular context and elsewhere, but they generally assume that earthquake clustering is negligible. To assess earthquake clustering at Groningen, we generate an enhanced seismicity catalog using a deep-learning-based workflow. We identify and locate 1369 events between 2015 and 2022, including 660 newly detected events not previously identified by the standard catalog from the Royal Netherlands Meteorological Institute. Using the nearest-neighbor distance approach, we find that 72% of events are background independent events, whereas the remaining 28% belong to clusters. The 55% of the clustered events are swarm-like, whereas the rest are aftershock-like. Among the swarms include five newly identified sequences propagating at high velocities between 3 and 50 km/day along directions that do not follow mapped faults or existing structures and frequently exhibit a sharp turn in the middle of the sequence. The swarms occurred around the time of the maximum compaction rate between November 2016 and May 2017 in the Zechstein layer, above the anhydrite caprock, and well-above the directly induced earthquakes that occur within the reservoir and caprock. We suggest that these swarms are related to the aseismic deformation within the salt formation rather than fluids. This study suggests that the propagating swarms do not always signify fluid migration.

Seismological Research LettersVol. 96(1)
California Institute of Technology (US), Shell (Netherlands) (NL)
National Science Foundation, Shell
Openalex Percentile: Top 7%
earthquake and tectonic studies
3.74
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