Noise suppression in surface microseismic data by τ-p transform
June 1, 2013
Surface passive seismic methods are receiving increased attention for monitoring changes in reservoirs during the production of unconventional oil and gas. However, in passive seismic data the strong cultural and ambient noise (mainly surface-waves) decreases the effectiveness of these techniques. Hence, suppression of surface-waves is a critical step in surface microseismic monitoring.
We apply a noise suppression technique, based on the τ — p transform, to a surface passive seismic dataset recorded over a Barnett Shale reservoir undergoing a hydraulic fracturing process. This technique not only improves the signal-to-noise ratios of added synthetic microseismic events, but it also preserves the event waveforms.
Citation Information
Publication Year | 2013 |
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Title | Noise suppression in surface microseismic data by τ-p transform |
Authors | Farnoush Forghani-Arani, Mike Batzle, Jyoti Behura, Mark Willis, Seth Haines, Michael Davidson |
Publication Type | Conference Paper |
Publication Subtype | Conference Paper |
Index ID | 70074089 |
Record Source | USGS Publications Warehouse |
USGS Organization | Central Energy Resources Science Center |