4.5 Article

Time-Dependent Seismic Hazard Analysis for Induced Seismicity: The Case of St Gallen (Switzerland), Geothermal Field

Journal

ENERGIES
Volume 14, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/en14102747

Keywords

seismic hazard analysis; induced seismicity; non-Poisson model; ETAS model

Categories

Funding

  1. S4CE (Science for Clean Energy) project - European Union's Horizon 2020-R&I Framework Programme [764810]
  2. PRIN-2017 MATISSE project - Italian Ministry of Education and Research [20177EPPN2]

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Reliable seismic hazard analyses are crucial in mitigating seismic risk, especially when dealing with induced seismicity that requires modification of the standard PSHA. Modifying the standard PSHA to calculate time-dependent seismic hazard can predict ground motion effectively, supporting project managers in making decisions.
Reliable seismic hazard analyses are crucial to mitigate seismic risk. When dealing with induced seismicity the standard Probabilistic Seismic Hazard Analysis (PSHA) has to be modified because of the peculiar characteristics of the induced events. In particular, the relative shallow depths, small magnitude, a correlation with field operations, and eventually non-Poisson recurrence time. In addition to the well-known problem of estimating the maximum expected magnitude, it is important to take into account how the industrial field operations affect the temporal and spatial distribution of the earthquakes. In fact, during specific stages of the project the seismicity may be hard to be modelled as a Poisson process-as usually done in the standard PSHA-and can cluster near the well or migrate toward hazardous known or-even worse-not known faults. Here we present a technique in which we modify the standard PSHA to compute time-dependent seismic hazard. The technique allows using non-Poisson models (BPT, Weibull, gamma and ETAS) whose parameters are fitted using the seismicity record during distinct stages of the field operations. As a test case, the procedure has been implemented by using data recorded at St. Gallen deep geothermal field, Switzerland, during fluid injection. The results suggest that seismic hazard analyses, using appropriate recurrence model, ground motion predictive equations, and maximum magnitude allow the expected ground-motion to be reliably predicted in the study area. The predictions can support site managers to decide how to proceed with the project avoiding adverse consequences.

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