Noise suppression in surface microseismic data by τ − p transform

Farnoush Forghani-Arani, Mark Willis, Seth Haines, Mike Batzle, Jyoti Behura, Michael Davidson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationSociety of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
PublisherSociety of Exploration Geophysicists
Pages3826-3830
Number of pages5
ISBN (Print)9781622769452
DOIs
StatePublished - 2012
EventSociety of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012 - Las Vegas, United States
Duration: Nov 4 2012Nov 9 2012

Publication series

NameSociety of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and 82nd Annual Meeting 2012, SEG 2012
Country/TerritoryUnited States
CityLas Vegas
Period11/4/1211/9/12

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