Relative Moment Tensor Analysis of the OTN3 Stimulation Seismicity: A new method for the micro-structural investigation of earthquake clusters

We present the relMT algorithm to estimate relative seismic moment tensors (MT) of small seismic events and apply it to the 2018 stimulation seismicity of the DEEP EGS project in Espoo, Finland. Relative MTs are tied to an absolute reference MT. They can be computed for clustered events for which the subsurface Green’s function can be assumed equal and do not require detailed knowledge of the subsurface velocity structure. We triple the number of resolved MTs from 283 to 864 and lower the magnitude threshold to -0.5. Future developments of the algorithm promise to contribute consistent S-wave cross-correlation lag times to re-localization efforts.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.18153724
Primary Topic
Seismic Waves and Analysis
Type
article
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article

Relative Moment Tensor Analysis of the OTN3 Stimulation Seismicity: A new method for the micro-structural investigation of earthquake clusters

Grzegorz Kwiatek, M. G. Bostock, Doriane Drolet, Volker Øye et al.
Zenodo (CERN European Organization for Nuclear Research)
Seismic Waves and Analysis
article

Relative Moment Tensor Analysis of the OTN3 Stimulation Seismicity: A new method for the micro-structural investigation of earthquake clusters

Grzegorz Kwiatek, M. G. Bostock, Doriane Drolet, Volker Øye, Wasja Bloch, A. P. Plourde
article en

Abstract

We present the relMT algorithm to estimate relative seismic moment tensors (MT) of small seismic events and apply it to the 2018 stimulation seismicity of the DEEP EGS project in Espoo, Finland. Relative MTs are tied to an absolute reference MT. They can be computed for clustered events for which the subsurface Green’s function can be assumed equal and do not require detailed knowledge of the subsurface velocity structure. We triple the number of resolved MTs from 283 to 864 and lower the magnitude threshold to -0.5. Future developments of the algorithm promise to contribute consistent S-wave cross-correlation lag times to re-localization efforts.

Zenodo (CERN European Organization for Nuclear Research)
Geological Survey of Canada (CA), University of British Columbia (CA), Grace Mission University (US), Carbon Management Canada (CA), Norsar (NO)
Sustainable cities and communities
Openalex Percentile: Top 28%
Seismic Waves and Analysis
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