TY  - JOUR
ID  - epos1744
UR  - http://doi.org/10.1785/0220120191
IS  - 4
A1  - Grigoli, Francesco
A1  - Cesca, Simone
A1  - Vassallo, M.
A1  - Dahm, Torsten
Y1  - 2013/07//
N2  - 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.
PB  - Seismological Society of America
JF  - Seismological Research Letters
VL  - 84
SN  - 0895-0695
TI  - Automated Seismic Event Location by Travel-Time Stacking: An Application to Mining Induced Seismicity
SP  - 666
AV  - none
EP  - 677
ER  -