Exploiting the covariance of the noise field for robust noise suppression

Claire Birnie; Kit Chambers; Doug Angus

doi:10.1190/segam2017-17627034.1

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 conference › Paper › peer-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 language	English (US)
Pages	5017-5021
Number of pages	5
DOIs	https://doi.org/10.1190/segam2017-17627034.1
State	Published - Aug 17 2017
Event	Society of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017 - Houston, United States Duration: Sep 24 2017 → Sep 29 2017

Conference

Conference	Society of Exploration Geophysicists International Exposition and 87th Annual Meeting, SEG 2017
Country/Territory	United States
City	Houston
Period	09/24/17 → 09/29/17

Bibliographical note

Funding Information:
The authors would like to thank the Petroleum Technology Research Centre (PTRC) for access to Aquistore Data. C. Birnie is funded by the NERC Open CASE studentship NE/L009226/1 and Pinnacle-Halliburton. D. Angus acknowledges the Research Council UK (EP/K035878/1; EP/K021869/1; NE/L000423/1) for financial support.

Publisher Copyright:
© 2017 SEG.

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Geophysics

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10.1190/segam2017-17627034.1

Cite this

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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.",

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AB - 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.

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Exploiting the covariance of the noise field for robust noise suppression

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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