Chapter 10 Aknowledgements
We would like to thank all the partners of the project involved in the data collection for the North Sea seismological bulletin, as well as for the seismic waveforms. The authors would like to sincerely acknowledge the Geological Survey of Denmark and Greenland (GEUS), the Royal Netherlands Meteorological Institute (KNMI), the British Geological Survey (BGS), NORSAR, British Petroleum (BP), Equinor, The Indian Institute of Technology Bombay (IIT Bombay), INEOS, Norwegian Geotechnical Institute (NGI), Norwegian University of Science and Technology (NTNU), University of Oxford, Risktec, Rockfield, Shell, TU Delft, Wintershall Dea.
This study was possible based on data collected and provided to the public from the following seismological networks: German Regional Seismic Network (GR, Federal Institute for Geosciences and Natural Resources (1976)), Danish Seismological Network (DK, Seismisk Tjeneste (2023)), GEOFON Seismic Network (GE, German Research Centre for Geosciences GFZ (1993)), Netherlands Seismic and Acoustic Network (NL, Royal Netherlands Meteorological Institute (KNMI) (1993)), NORSAR Station Network (NO, NORSAR (1971)), University of Bergen Seismic Network (NS, University of Bergen (1982)), the Magnus temporal network (2006-2008) (Z6, Weidle et al. (2010)), the Belgian Seismic Network (BE, Royal Observatory of Belgium (1985)), the Great Britain Seismograph Network (GB, British Geological Survey (1970)) as well as the Kiel University Earthquake Monitoring (KQ, Christian Albrechts - Universitat zu Kiel (2017)).
We also would like to sincerely thank Sebastian Heimann (University of Potsdam, Germany) for his flexibility in adapting the Squirrel algorithm to this specific task and helping with its application, as well as for his advice on using the Pyrocko Python package and Grond software for moment tensor computations.
This report is part of the SHARP Storage research program (‘Stress History and reservoir pressure for improved quantification of CO2 storage containment risks’) funded through ACT3– Accelerating CCS Technologies (Project No ACT320011), by RCN and Gassnova (Norway), ROV (The Netherlands), DST (India), BEIS (UK) and EUDP (Denmark).