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Noise suppression in surface microseismic data

Farnoush Forghani-Arani·Mike Batzle·Jyoti Behura·Mark Willis·Seth S. Haines·Michael Davidson
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Abstract

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.

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Farnoush Forghani-Arani, Mike Batzle, Jyoti Behura, Mark Willis, Seth S. Haines, Michael Davidson. 2012. Noise suppression in surface microseismic data. https://doi.org/10.1190/tle31121496.1

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