Seismic monitoring of Nature's Heat Geothermal Reservoir in Kwintsheul (Netherlands)

Conference Paper (2022)
Author(s)

D. Naranjo (TU Delft - Applied Geophysics and Petrophysics)

D.S. Draganov (TU Delft - Applied Geophysics and Petrophysics)

Katerina Polychronopoulou (Seismotech S.A.)

Mathieu De Bas (Gastreatment Services B.V.)

Kees Weemstra (Royal Netherlands Meteorological Institute (KNMI), TU Delft - Applied Geophysics and Petrophysics)

Research Group
Applied Geophysics and Petrophysics
Copyright
© 2022 D. Naranjo, D.S. Draganov, Katerina Polychronopoulou, Mathieu De Bas, C. Weemstra
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Publication Year
2022
Language
English
Copyright
© 2022 D. Naranjo, D.S. Draganov, Katerina Polychronopoulou, Mathieu De Bas, C. Weemstra
Research Group
Applied Geophysics and Petrophysics
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Abstract

In 2018, the geothermal project Nature's Heat started its operations to supply heat to 64 hectares of greenhouses in Kwintsheul, Netherlands. The operation involves the extraction and reinjection of geothermal fluids at a depth of about 2.4km. Several studies suggested that geothermal operations in these parts of The Netherlands are unlikely to generate felt seismic events (M>2.0); nevertheless, adequate seismic monitoring techniques are essential to guarantee sustainable and safe use of the Dutch subsurface. Between July and October 2019, Delft University of Technology, Seismotech (Greece), and Gastreatment Services BV installed a passive seismic network to monitor the seismic activity over Nature's Heat geothermal reservoir. The seismic network consists of 30 three-component short-period seismic sensors placed at inter-station distances of approximately 150 m along two crossing lines. A challenge for seismic monitoring systems in urban areas is the high level of background noise. In Kwintsheul, anthropogenic noise dominates the spectrograms at frequencies higher than 2 Hz. Despite these high background-noise levels, a seismic event of ML = 0.0 (duration magnitude Md 0.16) was recorded by all seismometers of the array on July 14, 2019. To understand the relation of the event and improve the safety of the geothermal operation, we are developing a probabilistic monitoring and inversion scheme. This study aims to improve the seismic network's detection and hypocentre-determination capabilities and verifies via template matching if the detected seismic event is repeating over time (possibly at the background noise level).

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