Abstract
The seismicity rate model of J. Dieterich (1994, https://doi.org/10.1029/93jb02581) has been used extensively in recent years to model induced seismicity in fluid injection settings. In this study, we highlight its major assumptions and examine how they may bias the interpretations of inferred model parameters when applied to induced seismicity observed in real reservoirs. We do so by comparing the model to numerical simulations of induced earthquakes in a discrete fault network (DFN). The seismicity patterns show significant differences between the DFN and Dietrich model. In particular, DFN simulations show the development of a backfront during the injection due to the exhaustion of available nucleation sources and a shut-off of near-well seismicity due to aseismic slip at high pore pressure. When matched to the DFN catalogs, both the background seismicity rate parameter, R b, and the direct effect rate-and-state friction parameter, a, of the Dieterich model both significantly underestimate the same parameters of the DFN. We recall the seismicity induced by the 1993 stimulation of the GPK1 injection well in Soultz-Sous-For (Formula presented.) ts for evidence of co-injection backfronts and aseismic slip among small faults. We do not discount the use of the Dieterich model—they successfully reproduce seismicity simulated from a wide range of initial conditions and fault network conditions—but emphasize that interpretations of inferred parameters must take into account finite size effects that are neglected by the model's original assumptions.
| Original language | English |
|---|---|
| Article number | e2024JB030243 |
| Pages (from-to) | 1-29 |
| Number of pages | 29 |
| Journal | Journal of Geophysical Research: Solid Earth |
| Volume | 130 |
| Issue number | 7 |
| Early online date | 3 Jul 2025 |
| DOIs | |
| Publication status | Published (in print/issue) - 31 Jul 2025 |
Bibliographical note
Publisher Copyright:© 2025. The Author(s).
Data Availability Statement
The relocated catalog of Soultz‐Sous‐Forets ˆ is available through CDGP services (CDGP, 2024). We extend our thanks to Olivier Lengliné for the catalog of the source radii distribution (Cauchie et al., 2020). The code for the DFN model can be found on the Zenodo repository (Kim, 2025).Funding
This study was supported by the National Science Foundation via the Industry‐University Collaborative Research Center Geomechanics and Mitigation of Geohazards (award #1822214).
| Funders | Funder number |
|---|---|
| National Science Foundation | 1822214 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- computational models of injection-induced seismicity
- discrete fault network modeling
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