Induced seismicity due to hydraulic fracturing near Blackpool, UK: source modeling and event detection

Karamzadeh, Nasim ORCIDiD
Lindner, Mike
Edwards, Benjamin
Gaucher, Emmanuel
Rietbrock, Andreas ORCIDiD

DOI: https://doi.org/10.1007/s10950-021-10054-9
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10896
Karamzadeh, Nasim; Lindner, Mike; Edwards, Benjamin; Gaucher, Emmanuel; Rietbrock, Andreas, 2021: Induced seismicity due to hydraulic fracturing near Blackpool, UK: source modeling and event detection. In: Journal of Seismology, 25, 6, 1385-1406, DOI: https://doi.org/10.1007/s10950-021-10054-9. 
 
Karamzadeh, Nasim; Geophysical Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany
Lindner, Mike; Geophysical Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany
Edwards, Benjamin; School of Environmental Sciences, University of Liverpool, Liverpool, UK
Gaucher, Emmanuel; Institute of Applied Geosciences, Karlsruhe Institute of Technology, Karlsruhe, Germany
Rietbrock, Andreas; Geophysical Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany

Abstract

Monitoring small magnitude induced seismicity requires a dense network of seismic stations and high-quality recordings in order to precisely determine events’ hypocentral parameters and mechanisms. However, microseismicity (e.g. swarm activity) can also occur in an area where a dense network is unavailable and recordings are limited to a few seismic stations at the surface. In this case, using advanced event detection techniques such as template matching can help to detect small magnitude shallow seismic events and give insights about the ongoing process at the subsurface giving rise to microseismicity. In this paper, we study shallow microseismic events caused by hydrofracking of the PNR-2 well near Blackpool, UK, in 2019 using recordings of a seismic network which was not designed to detect and locate such small events. By utilizing a sparse network of surface stations, small seismic events are detected using template matching technique. In addition, we apply a full-waveform moment tensor inversion to study the focal mechanisms of larger events (ML > 1) and used the double-difference location technique for events with high-quality and similar waveforms to obtain accurate relative locations. During the stimulation period, temporal changes in event detection rate were in agreement with injection times. Focal mechanisms of the events with high-quality recordings at multiple stations indicate a strike-slip mechanism, while a cross-section of 34 relocated events matches the dip angle of the active fault.