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Title: Validating induced seismicity forecast models—Induced Seismicity Test Bench

Journal Article · · Journal of Geophysical Research. Solid Earth
DOI:https://doi.org/10.1002/2016JB013236· OSTI ID:1402133
 [1];  [1];  [2];  [1];  [1];  [2]
  1. Swiss Seismological Service ETH Zurich Zurich Switzerland
  2. Swiss Competence Center for Energy Research (SCCER‐SoE) ETH Zurich Zurich Switzerland

Abstract Induced earthquakes often accompany fluid injection, and the seismic hazard they pose threatens various underground engineering projects. Models to monitor and control induced seismic hazard with traffic light systems should be probabilistic, forward‐looking, and updated as new data arrive. In this study, we propose an Induced Seismicity Test Bench to test and rank such models; this test bench can be used for model development, model selection, and ensemble model building. We apply the test bench to data from the Basel 2006 and Soultz‐sous‐Forêts 2004 geothermal stimulation projects, and we assess forecasts from two models: Shapiro and Smoothed Seismicity (SaSS) and Hydraulics and Seismics (HySei). These models incorporate a different mix of physics‐based elements and stochastic representation of the induced sequences. Our results show that neither model is fully superior to the other. Generally, HySei forecasts the seismicity rate better after shut‐in but is only mediocre at forecasting the spatial distribution. On the other hand, SaSS forecasts the spatial distribution better and gives better seismicity rate estimates before shut‐in. The shut‐in phase is a difficult moment for both models in both reservoirs: the models tend to underpredict the seismicity rate around, and shortly after, shut‐in.

Sponsoring Organization:
USDOE
OSTI ID:
1402133
Journal Information:
Journal of Geophysical Research. Solid Earth, Journal Name: Journal of Geophysical Research. Solid Earth Vol. 121 Journal Issue: 8; ISSN 2169-9313
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 19 works
Citation information provided by
Web of Science

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