Birnie, C, Chambers, K, Angus, D orcid.org/0000-0003-0734-7835 et al. (1 more author) (2016) Analysis and models of pre-injection surface seismic array noise recorded at the Aquistore carbon storage site. Geophysical Journal International, 206 (2). pp. 1246-1260. ISSN 0956-540X
Abstract
Noise is a persistent feature in seismic data and so poses challenges in extracting increased accuracy in seismic images and physical interpretation of the subsurface. In this paper, we analyse passive seismic data from the Aquistore carbon capture and storage pilot project permanent seismic array to characterise, classify and model seismic noise. We perform noise analysis for a three month subset of passive seismic data from the array and provide conclusive evidence that the noise field is not white, stationary, or Gaussian; characteristics commonly yet erroneously assumed in most conventional noise models. We introduce a novel noise modelling method that provides a significantly more accurate characterisation of real seismic noise compared to conventional methods, which is quantified using the Mann-Whitney-White statistical test. This method is based on a statistical covariance modelling approach created through the modelling of individual noise signals. The identification of individual noise signals, broadly classified as stationary, pseudo-stationary and non-stationary, provides a basis on which to build an appropriate spatial and temporal noise field model. Furthermore, we have developed a workflow to incorporate realistic noise models within synthetic seismic datasets providing an opportunity to test and analyse detection and imaging algorithms under realistic noise conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Authors 2016. Published by Oxford University Press on behalf of The Royal Astronomical Society. This is a pre-copyedited, author-produced PDF of an article accepted for publication in Geophysical Journal International following peer review. The version of record: 'Birnie, C, Chambers, K, Angus, D and Stork, A (2016) Analysis and models of pre-injection surface seismic array noise recorded at the Aquistore carbon storage site. Geophysical Journal International, 206 (2). pp. 1246-1260. ISSN 0956-540X' is available online at: http://dx.doi.org/10.1093/gji/ggw203. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Time - series analysis; Probability distributions; Site effects; Statistical seismology |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/K021869/1 EPSRC EP/K035878/1 NERC NE/L000423/1 EPSRC EP/E500080/1 EPSRC EP/K035878/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Jun 2016 10:20 |
Last Modified: | 26 Oct 2016 04:11 |
Published Version: | http://dx.doi.org/10.1093/gji/ggw203 |
Status: | Published |
Publisher: | Oxford University Press (OUP) |
Identification Number: | 10.1093/gji/ggw203 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100281 |