Preprints
https://doi.org/10.5194/essd-2022-378
https://doi.org/10.5194/essd-2022-378
 
28 Nov 2022
28 Nov 2022
Status: this preprint is currently under review for the journal ESSD.

The Weisweiler passive seismological network: optimised for state-of-the-art location and imaging methods

Claudia Finger1, Marco P. Roth2, Marco Dietl1,2, Aileen Gotowik1,2, Nina Engels3, Rebecca M. Harrington2, Brigitte Knapmeyer-Endrun4, Klaus Reicherter3, Thomas Oswald5, Thomas Reinsch1, and Erik H. Saenger6,1,2 Claudia Finger et al.
  • 1Fraunhofer IEG, Research Institution for Energy Infrastructures and Geothermal Systems, Bochum, Germany
  • 2Ruhr-University Bochum (RUB), Germany
  • 3Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, Germany
  • 4Bensberg Observatory, University of Cologne, Germany
  • 5RWE Power Aktiengesellschaft, Germany
  • 6Bochum University of Applied Sciences, Germany

Abstract. Passive seismic datasets are a key technology for exploration and monitoring of subsurface reservoirs. Searching for alternative resources in the framework of the energy transition creates a surge for identifying as many potential sites as possible suitable for geothermal exploitation. The Lower Rhine Embayment, at the western border of North Rhine-Westphalia in Germany, is an extensional system with a very high potential for geothermal exploitation. The area experiences moderate but continuous natural seismicity. Here, we report on a passive seismic dataset recorded with 48 seismic stations centred at and around Eschweiler-Weisweiler. Background seismic noise levels are high at this site due to high levels of anthropogenic noise and thick unconsolidated sedimentary layers. The final station layout is a compromise between targeted network design and suitably quiet locations. We show that the network design allows the application of state-of-the-art methods including waveform-based source location methods and ambient noise velocity imaging methods.

Claudia Finger et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-378', Anonymous Referee #1, 16 Dec 2022
  • RC2: 'Comment on essd-2022-378', Andrea Rovida, 22 Dec 2022

Claudia Finger et al.

Data sets

The ZB Seismic Network, 2021–2022 Finger, C., Harrington, R. and Reinsch, T. https://doi.org/10.14470/MO7576467356

Claudia Finger et al.

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Short summary
Passive seismic datasets are a key technology for geothermal projects. The Lower Rhine Embayment, at the western border of North Rhine-Westphalia in Germany, is a geologically complex region with high potential for geothermal exploitation. Here, we report on a passive seismic dataset recorded with 48 seismic stations and a total extent of 20 km. We demonstrate that the network design allows the application of state-of-the-art seismological methods.