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

Krittanon Sirorattanakul, John D. Wilding, Mateo Acosta, Yuexin Li, Zachary E. Ross, Stephen J. Bourne, Jan van Elk, Jean-Philippe Avouac

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)130-146
Number of pages17
JournalSeismological Research Letters
Volume96
Issue number1
Early online date5 Sept 2024
DOIs
Publication statusPublished (in print/issue) - 1 Jan 2025

Bibliographical note

Publisher Copyright:
© Seismological Society of America.

Data Access Statement

Raw seismic waveforms were accessed through the Observatories and Research Facilities for European Seismology (ORFEUS) International Federation of Digital Seismograph Networks (FDSN) client via a Python script using the package ObsPy (https://docs.obspy.org/; Beyreuther et al., 2010). The 3D seismic velocity and faults map were provided to us by Shell Global Solutions International B.V. Computer programs used to generate the enhanced seismicity catalog are previously published and can be found in the following references: seismic phase detection software PhaseNet (https://github.com/AI4EPS/PhaseNet; Zhu and Beroza, 2019), seismic phase association software GaMMA (https://github.com/AI4EPS/GaMMA; Zhu et al., 2022), hypocenter inversion software HypoSVI (https://github.com/Ulvetanna/HypoSVI; Smith et al., 2021). The seismicity catalog from the Royal Netherland Meteorological Survey (KNMI) is available online at www.knmi.nl. MATLAB version 2020a was used to analyze data and prepare figures. The enhanced seismicity catalog generated in this study along with the picks of arrival times can be found in the supplemental material. Codes used for data analysis and figure generation are made available online through CaltechDATA repository at https://data.caltech.edu/records/emasj-np244. All websites were last accessed in March 2024. The supplemental material for this article includes supplemental figures, enhanced high‐resolution seismicity catalog (data S1), and the associated picks of P‐ and S‐wave arrival times (data S2).

Fingerprint

Dive into the research topics of 'Bursts of Fast Propagating Swarms of Induced Earthquakes at the Groningen Gas Field'. Together they form a unique fingerprint.

Cite this