Shi, P, Angus, D, Nowacki, A orcid.org/0000-0001-7669-7383 et al. (2 more authors) (2018) Automated microseismic waveform location using multichannel coherency migration. In: 80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition. 80th EAGE Conference and Exhibition 2018, 11-14 Jun 2018, Copenhagen, Denmark. European Association of Geoscientists and Engineers, EAGE , pp. 1-5. ISBN 9781510882393
Abstract
With the proliferation of dense seismic networks on sampling the seismic wavefield, as an effect the recorded microseismic data volumes are getting bigger and automated analysis tools to e.g. detect seismic events are necessary. Here, we propose a new multichannel coherency migration method to detect earthquakes in continuous data and reveal the location and origin time of seismic events directly from recorded waveforms. By continuously calculating the coherency between waveforms from different receiver pairs, this method greatly expands the available information which can be used for location. The method does not require phase picking or phase identification, which allows fully automated waveform location. By migrating the coherency between waveforms, the method leads to improved source energy focusing. We have tested and compared the new method to other migration-based methods in noise-free and noisy synthetic data. The tests and analysis show that the new method is noise resistant and can achieve higher fidelity results compared with other migration-based methods. The new method exhibits excellent location performance and can be easily parallelized giving it large potential to be developed as a real-time location method for very large datasets.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 May 2020 11:44 |
Last Modified: | 01 Jun 2020 09:16 |
Status: | Published |
Publisher: | European Association of Geoscientists and Engineers, EAGE |
Identification Number: | 10.3997/2214-4609.201801053 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160609 |