Exploiting the covariance of the noise field for robust noise suppression

Claire Birnie, Kit Chambers*, Doug Angus

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

A constant feature within all seismic data, noise is particularly troublesome for passive seismic monitoring where microseismic events are often recorded below the noise level. In this work we describe a method for noise suppression that exploits the correlated nature of noise in time and space in attempt to transform the recorded noise into white, Gaussian noise. The application of this technique on microseismic data allows for the imaging of events at SNRs previously not possible. It is further shown to be highly robust when handling unexpected changes in the noise's behaviour.

Original languageEnglish (US)
Pages5017-5021
Number of pages5
DOIs
StatePublished - Aug 17 2017
EventSociety of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017 - Houston, United States
Duration: Sep 24 2017Sep 29 2017

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017
Country/TerritoryUnited States
CityHouston
Period09/24/1709/29/17

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geophysics

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