Noise suppression in surface microseismic data
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.
Citation Information
Publication Year | 2012 |
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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 |