Noise suppression in surface microseismic data by τ—ptransform

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2012Noise suppression in surface microseismic data by τ— p transformAuthors: Farnoush Forghani-AraniMark WillisSeth HainesMike BatzleJyoti BehuraMichael DavidsonFarnoush Forghani-AraniColorado School of MinesSearch for more papers by this author, Mark WillisHalliburtonSearch for more papers by this author, Seth HainesU.S. Geological SurveySearch for more papers by this author, Mike BatzleColorado School of MinesSearch for more papers by this author, Jyoti BehuraColorado School of MinesSearch for more papers by this author, and Michael DavidsonConocoPhillipsSearch for more papers by this authorhttps://doi.org/10.1190/segam2012-1483.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail 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. Permalink: https://doi.org/10.1190/segam2012-1483.1FiguresReferencesRelatedDetailsCited byDiffraction imaging for the fault-karst structure by least-squares reverse time migrationXinru Mu, Jianping Huang, Liyun Fu, Shikai Jian, Bing Hu, and Ziying Wang11 March 2021 | Interpretation, Vol. 9, No. 2Noise suppression in the dual-tree complex wavelet domain for seismic signal23 July 2016 | Journal of Petroleum Exploration and Production Technology, Vol. 7, No. 2 SEG Technical Program Expanded Abstracts 2012ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2012 Pages: 4609 Publisher:Society of Exploration Geophysicists HistoryPublished Online: 25 Oct 2012 CITATION INFORMATION Farnoush Forghani-Arani, Mark Willis, Seth Haines, Mike Batzle, Jyoti Behura, and Michael Davidson, (2012), "Noise suppression in surface microseismic data by τ— p transform," SEG Technical Program Expanded Abstracts : 1-5. https://doi.org/10.1190/segam2012-1483.1 Plain-Language Summary PDF DownloadLoading ...