Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/98999
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Type: | Journal article |
Title: | Automated microseismic event location using Master-Event Waveform Stacking |
Author: | Grigoli, F. Cesca, S. Krieger, L. Kriegerowski, M. Gammaldi, S. Horalek, J. Priolo, E. Dahm, T. |
Citation: | Scientific Reports, 2016; 6(1):25744-1-25744-13 |
Publisher: | Nature Publishing Group |
Issue Date: | 2016 |
ISSN: | 2045-2322 2045-2322 |
Statement of Responsibility: | Francesco Grigoli, Simone Cesca, Lars Krieger, Marius Kriegerowski, Sergio Gammaldi, Josef Horalek, Enrico Priolo and Torsten Dahm |
Abstract: | Accurate and automated locations of microseismic events are desirable for many seismological and industrial applications. The analysis of microseismicity is particularly challenging because of weak seismic signals with low signal-to-noise ratio. Traditional location approaches rely on automated picking, based on individual seismograms, and make no use of the coherency information between signals at different stations. This strong limitation has been overcome by full-waveform location methods, which exploit the coherency of waveforms at different stations and improve the location robustness even in presence of noise. However, the performance of these methods strongly depend on the accuracy of the adopted velocity model, which is often quite rough; inaccurate models result in large location errors. We present an improved waveform stacking location method based on source-specific station corrections. Our method inherits the advantages of full-waveform location methods while strongly mitigating the dependency on the accuracy of the velocity model. With this approach the influence of an inaccurate velocity model on the results is restricted to the estimation of travel times solely within the seismogenic volume, but not for the entire source-receiver path. We finally successfully applied our new method to a realistic synthetic dataset as well as real data. |
Description: | Published online: 17 May 2016 |
Rights: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
DOI: | 10.1038/srep25744 |
Published version: | http://dx.doi.org/10.1038/srep25744 |
Appears in Collections: | Aurora harvest 7 Earth and Environmental Sciences publications |
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hdl_98999.pdf | Published version | 2.87 MB | Adobe PDF | View/Open |
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