Articles | Volume 12, issue 4
Solid Earth, 12, 915–934, 2021
https://doi.org/10.5194/se-12-915-2021

Special issue: Fibre-optic sensing in Earth sciences

Solid Earth, 12, 915–934, 2021
https://doi.org/10.5194/se-12-915-2021
Research article
22 Apr 2021
Research article | 22 Apr 2021

Evaluating seismic beamforming capabilities of distributed acoustic sensing arrays

Martijn P. A. van den Ende and Jean-Paul Ampuero

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Cited articles

Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and Wassermann, J.: ObsPy: A Python Toolbox for Seismology, Seismol. Res. Lett., 81, 530–533, https://doi.org/10.1785/gssrl.81.3.530, 2010. a
Capon, J., Greenfield, R., and Kolker, R.: Multidimensional Maximum-Likelihood Processing of a Large Aperture Seismic Array, P. IEEE, 55, 192–211, https://doi.org/10.1109/PROC.1967.5439, 1967. a
Cole, S., Karrenbach, M., Kahn, D., Rich, J., Silver, K., and Langton, D.: Source Parameter Estimation from DAS Microseismic Data, in: 2018 SEG International Exposition and Annual Meeting, Society of Exploration Geophysicists, SEG, 5520 pp., 2018. a
Daley, T. M., Miller, D. E., Dodds, K., Cook, P., and Freifeld, B. M.: Field Testing of Modular Borehole Monitoring with Simultaneous Distributed Acoustic Sensing and Geophone Vertical Seismic Profiles at Citronelle, Alabama, Geophys. Prospect., 64, 1318–1334, https://doi.org/10.1111/1365-2478.12324, 2016. a
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Short summary
Distributed acoustic sensing (DAS) is an emerging technology that measures stretching of an optical-fibre cable. This technology can be used to record the ground shaking of earthquakes, which offers a cost-efficient alternative to conventional seismometers. Since DAS is relatively new, we need to verify that existing seismological methods can be applied to this new data type. In this study, we reveal several issues by comparing DAS with conventional seismometer data for earthquake localisation.