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Noise suppression in surface microseismic data

December 14, 2012

We introduce a passive noise suppression technique, based on the τ − p transform. In the τ − p domain, one can separate microseismic events from surface noise based on distinct characteristics that are not visible in the time-offset domain. By applying the inverse τ − p transform to the separated microseismic event, we suppress the surface noise in the data. Our technique significantly improves the signal-to-noise ratios of the microseismic events and is superior to existing techniques for passive noise suppression in the sense that it preserves the waveform.

We introduce a passive noise suppression technique, based on the τ − p transform. In the τ − p domain, one can separate microseismic events from surface noise based on distinct characteristics that are not visible in the time-offset domain. By applying the inverse τ − p transform to the separated microseismic event, we suppress the surface noise in the data. Our technique significantly improves the signal-to-noise ratios of the microseismic events and is superior to existing techniques for passive noise suppression in the sense that it preserves the waveform.

Publication Year 2012
Title Noise suppression in surface microseismic data
DOI 10.1190/tle31121496.1
Authors Farnoush Forghani-Arani, Mike Batzle, Jyoti Behura, Mark Willis, Seth S. Haines, Michael Davidson
Publication Type Article
Publication Subtype Journal Article
Series Title The Leading Edge
Index ID 70041805
Record Source USGS Publications Warehouse
USGS Organization Central Energy Resources Science Center