eprintid: 1744 rev_number: 13 eprint_status: archive userid: 6 dir: disk0/00/00/17/44 datestamp: 2016-12-20 11:37:06 lastmod: 2018-12-20 11:36:04 status_changed: 2016-12-20 11:37:06 type: article metadata_visibility: show creators_name: Grigoli, Francesco creators_name: Cesca, Simone creators_name: Vassallo, M. creators_name: Dahm, Torsten creators_id: creators_id: simone.cesca@gfz-potsdam.de creators_id: creators_id: torsten.dahm@gfz-potsdam.de corp_creators: University of Potsdam, Institute of Earth and Environmental Sciences,Potsdam, Germany corp_creators: University of Potsdam, Institute of Earth and Environmental Sciences,Potsdam, Germany corp_creators: AMRA S.c.a.r.l., Analysis and Monitoring of Environmental Risk, Napoli, Italy corp_creators: University of Potsdam, Institute of Earth and Environmental Sciences,Potsdam, Germany title: Automated Seismic Event Location by Travel-Time Stacking: An Application to Mining Induced Seismicity subjects: MP1 subjects: SMU divisions: SHEER full_text_status: none abstract: The automated location of seismic events is an important and challenging task in microseismic monitoring applications (e.g., to analyze induced seismicity following oil/geothermal field exploitation and mining operations), where we deal with a large number of seismic events and weak signals characterized by low signal‐to‐noise ratios. Given the large number of seismic events, manual location procedures are time consuming, or not feasible. Standard automated location routines require precise automated picking procedure and phases identification (Gharti et al., 2010). These methods are, generally, modified versions of the Geiger (1910, 1912) algorithm, based on the minimization of time residuals between theoretical and observed arrival times of body waves (generally first P and S onsets) by iterative inversion algorithms. In the last two decades a large number of picking algorithms have been developed; although P onsets can now be accurately picked, the automatic picking of later seismic phases (including S onsets) is still problematic. Their performance is limited in the presence of noisy data, when picking and phase identification might be difficult. date: 2013-07 date_type: published publication: Seismological Research Letters volume: 84 number: 4 publisher: Seismological Society of America pagerange: 666-677 id_number: doi:10.1785/0220120191 issn: 0895-0695 official_url: http://doi.org/10.1785/0220120191 access_IS-EPOS: limited software_references: Waveform-based_seismic_event_location owner: Publisher citation: Grigoli, Francesco and Cesca, Simone and Vassallo, M. and Dahm, Torsten (2013) Automated Seismic Event Location by Travel-Time Stacking: An Application to Mining Induced Seismicity. Seismological Research Letters, 84 (4). pp. 666-677. DOI: https://doi.org/10.1785/0220120191