eprintid: 1926 rev_number: 12 eprint_status: archive userid: 2 dir: disk0/00/00/19/26 datestamp: 2017-05-15 12:46:47 lastmod: 2018-09-10 08:13:12 status_changed: 2017-05-15 12:46:47 type: article metadata_visibility: show creators_name: Lopez-Comino, Jose Angel creators_name: Cesca, Simone creators_name: Kriegerowski, Marius creators_name: Heimann, Sebastian creators_name: Dahm, Torsten creators_name: Mirek, Janusz creators_name: Lasocki, Stanislaw creators_id: creators_id: simone.cesca@gfz-potsdam.de creators_id: creators_id: creators_id: torsten.dahm@gfz-potsdam.de creators_id: jmirek@agh.edu.pl creators_id: lasocki@igf.edu.pl corp_creators: GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany corp_creators: GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany corp_creators: GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany corp_creators: GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany corp_creators: GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany corp_creators: Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland corp_creators: Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland title: Monitoring performance using synthetic data for induced microseismicity by hydrofracking at the Wysin site (Poland) subjects: MP4 subjects: RP5 subjects: SHU divisions: SHEER-1 full_text_status: none keywords: Earthquake interaction, forecasting, and prediction, Earthquake monitoring and test-ban treaty verification, Induced seismicity abstract: Ideally, the performance of a dedicated seismic monitoring installation should be assessed prior to the observation of target seismicity. This work is focused on a hydrofracking experiment monitored at Wysin, NE Poland. A microseismic synthetic catalogue is generated to assess the monitoring performance during the pre-operational phase, where seismic information only concerns the noise conditions and the potential background seismicity. Full waveform, accounting for the expected spatial, magnitude and focal mechanism distributions and a realistic local crustal model, are combined with real noise recording to produce either event based or continuous synthetic waveforms. The network detection performance is assessed in terms of the magnitude of completeness (Mc) through two different techniques. First, we use an amplitude threshold, taking into the ratio among the maximal amplitude of synthetic waveforms and station-dependent noise levels, for different values of signal-to-noise ratio. The detection probability at each station is estimated for the whole data set and extrapolated to a broader range of magnitude and distances. We estimate an Mc of about 0.55, when considering the distributed network, and can further decrease Mc to 0.45 using arrays techniques. The second approach, taking advantage on an automatic, coherence-based detection algorithm, can lower Mc to ∼ 0.1, at the cost of an increase of false detections. Mc experiences significant changes during day hours, in consequence of strongly varying noise conditions. Moreover, due to the radiation patterns and network geometry, double-couple like sources are better detected than tensile cracks, which may be induced during fracking. date: 2017-04 date_type: published publication: Geophysical Journal International volume: 210 number: 1 publisher: Oxford University Press pagerange: 42-55 id_number: doi:10.1093/gji/ggx148 issn: 0956-540X official_url: http://doi.org/10.1093/gji/ggx148 access_IS-EPOS: unlimited owner: Publisher acknowledgments2: IS-EPOS_platform acknowledgments2: SHEER_project citation: Lopez-Comino, Jose Angel and Cesca, Simone and Kriegerowski, Marius and Heimann, Sebastian and Dahm, Torsten and Mirek, Janusz and Lasocki, Stanislaw (2017) Monitoring performance using synthetic data for induced microseismicity by hydrofracking at the Wysin site (Poland). Geophysical Journal International, 210 (1). pp. 42-55. DOI: https://doi.org/10.1093/gji/ggx148