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  Near real-time waveform-based methods for detection and location of microseismicity using DAS

Bocchini, G. M., Pecci, D., Porras, J., Grigoli, F., Harrington, R. M. (2023): Near real-time waveform-based methods for detection and location of microseismicity using DAS, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-2919

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018963 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018963_2
Genre: Conference Paper

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Bocchini, Gian Maria1, Author
Pecci, Davide1, Author
Porras, Juan1, Author
Grigoli, Francesco1, Author
Harrington, Rebecca M.1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Recent work has shown increasing utility of Distributed Acoustic Sensing (DAS) in microseismic monitoring operations, including those related to Enhanced Geothermal Systems. DAS can transform km-long fiber optic cables into a distributed array of seismic sensors capable of imaging the entire wavefield. However, the large quantity of data DAS acquisition produces hurdles to near-real-time seismological data analysis. In this study, we test waveform-coherence-based methods used to detect and locate microseismic events with DAS data that can be applied in near-real time. The merits of the approach rest in its potential to enable continuous seismic monitoring using DAS. The detection approach uses a semblance-based method that evaluates waveform coherence along hypoerbolic trajectories with different curvatures and vertex positions. It returns a time series of coherence values that enable the declaration a seismic event when coherence values exceed a given threshold. We then test a waveform-stacking method based on the use of trace short-term-average/long-term-average (STA/LTA) values to estimate event hypocenter locations. We stack waveforms based on theoretical travel times for both P- and S-phases and constrain the source location based on peak stacked amplitude values. A grid search of variable source locations and origin times produces the best-fit solution where the stacked amplitudes reach peak values. The method does not require phase identification and picking and can be applied to low signal-to-noise-ratio data. We will present results of the method using synthetic data and validation on real data from the 2022 FORGE (Utah, USA) DAS dataset.

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Language(s): eng - English
 Dates: 2023
 Publication Status: Finally published
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.57757/IUGG23-2919
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
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