Intelligent post processing of seismic events

The Intelligent Monitoring Systern (IMS) currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be s...

Full description

Bibliographic Details
Main Authors: Kvaerna, T., Ringdal, F.
Other Authors: Kvaerna, T.; NFR/NORSAR, Kjeller, Norway, Ringdal, F.; NFR/NORSAR, Kjeller, Norway, NFR/NORSAR, Kjeller, Norway
Format: Article in Journal/Newspaper
Language:English
Published: 1994
Subjects:
Online Access:http://hdl.handle.net/2122/1866
id ftingv:oai:www.earth-prints.org:2122/1866
record_format openpolar
spelling ftingv:oai:www.earth-prints.org:2122/1866 2024-06-09T07:45:54+00:00 Intelligent post processing of seismic events Kvaerna, T. Ringdal, F. Kvaerna, T.; NFR/NORSAR, Kjeller, Norway Ringdal, F.; NFR/NORSAR, Kjeller, Norway NFR/NORSAR, Kjeller, Norway 1994-06 3879370 bytes application/pdf http://hdl.handle.net/2122/1866 en eng 3/37 (1994) http://hdl.handle.net/2122/1866 open seismology signal processing onset time event location 05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous article 1994 ftingv 2024-05-15T08:06:18Z The Intelligent Monitoring Systern (IMS) currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be significantly improved if the event intervals are reprocessed with signal processing pararneters tuned to phases from events in the given region. The tuned processing parameters are obtained from off line analysis of events located in the region of interest. The primary goal of such intelligent post processing is to provide event definitions of a quality that minimizes the need for subsequent manual analysis. The first step in this post processing is to subdivide the arca to be monitored in order to identify sites of interest. Clearly, calibration will be the easiest and potential savings in manpower are the largest for areas of high, recurring seismicity. We bave identified 8 mining sites in Fennoscandia/NW Russia and noted that 65.6% of the events of ML > 2.0 in this region can be associated with one of these sites. This result is based on 1 year and a half of data. The second step is to refine the phase arrival and azimuth estimates using frequency filters and processing parameters that are tuned to the initial event location provided by the IMS. In this study, we have analyzed a set of 52 mining explosions from the Khibiny Massif mining area in the Kola peninsula of Russia. Very accurate locations of these events bave been provided by the seismologists from the Kola Regional Seismology Centre. Using an autoregressive likelihood technique we have been able to estimate onset times to an accuracy (standard deviation) of about 0.05 s for P phases and 0.15 0.20 s for S phases. Using fixed frequency bands, azimuth can be estimated to an accuracy (one standard deviation) of 0.9 degrees for the ARCESS array and 3 4 degrees for the small array recently established near Apatity on the Kola peninsula. The third step in the ... Article in Journal/Newspaper Fennoscandia kola peninsula Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Kola Peninsula Khibiny ENVELOPE(33.210,33.210,67.679,67.679) Apatity ENVELOPE(33.403,33.403,67.564,67.564)
institution Open Polar
collection Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia)
op_collection_id ftingv
language English
topic seismology
signal processing
onset time
event location
05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous
spellingShingle seismology
signal processing
onset time
event location
05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous
Kvaerna, T.
Ringdal, F.
Intelligent post processing of seismic events
topic_facet seismology
signal processing
onset time
event location
05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous
description The Intelligent Monitoring Systern (IMS) currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be significantly improved if the event intervals are reprocessed with signal processing pararneters tuned to phases from events in the given region. The tuned processing parameters are obtained from off line analysis of events located in the region of interest. The primary goal of such intelligent post processing is to provide event definitions of a quality that minimizes the need for subsequent manual analysis. The first step in this post processing is to subdivide the arca to be monitored in order to identify sites of interest. Clearly, calibration will be the easiest and potential savings in manpower are the largest for areas of high, recurring seismicity. We bave identified 8 mining sites in Fennoscandia/NW Russia and noted that 65.6% of the events of ML > 2.0 in this region can be associated with one of these sites. This result is based on 1 year and a half of data. The second step is to refine the phase arrival and azimuth estimates using frequency filters and processing parameters that are tuned to the initial event location provided by the IMS. In this study, we have analyzed a set of 52 mining explosions from the Khibiny Massif mining area in the Kola peninsula of Russia. Very accurate locations of these events bave been provided by the seismologists from the Kola Regional Seismology Centre. Using an autoregressive likelihood technique we have been able to estimate onset times to an accuracy (standard deviation) of about 0.05 s for P phases and 0.15 0.20 s for S phases. Using fixed frequency bands, azimuth can be estimated to an accuracy (one standard deviation) of 0.9 degrees for the ARCESS array and 3 4 degrees for the small array recently established near Apatity on the Kola peninsula. The third step in the ...
author2 Kvaerna, T.; NFR/NORSAR, Kjeller, Norway
Ringdal, F.; NFR/NORSAR, Kjeller, Norway
NFR/NORSAR, Kjeller, Norway
format Article in Journal/Newspaper
author Kvaerna, T.
Ringdal, F.
author_facet Kvaerna, T.
Ringdal, F.
author_sort Kvaerna, T.
title Intelligent post processing of seismic events
title_short Intelligent post processing of seismic events
title_full Intelligent post processing of seismic events
title_fullStr Intelligent post processing of seismic events
title_full_unstemmed Intelligent post processing of seismic events
title_sort intelligent post processing of seismic events
publishDate 1994
url http://hdl.handle.net/2122/1866
long_lat ENVELOPE(33.210,33.210,67.679,67.679)
ENVELOPE(33.403,33.403,67.564,67.564)
geographic Kola Peninsula
Khibiny
Apatity
geographic_facet Kola Peninsula
Khibiny
Apatity
genre Fennoscandia
kola peninsula
genre_facet Fennoscandia
kola peninsula
op_relation 3/37 (1994)
http://hdl.handle.net/2122/1866
op_rights open
_version_ 1801375560178335744