Coulomb stress-based forecasting of injection-induced seismicity in Oklahoma and Kansas
Abstract
Induced seismicity in Oklahoma and South Kansas has been widely attributed to wastewater disposal into the deep Arbuckle formation. However, the relative contributions of pore-pressure diffusion and poroelastic stress changes to earthquake triggering remain debated. In this study, we apply the Coulomb threshold rate-and-state seismicity forecasting model of Heimisson et al. (2022) to induced seismicity in the region from 2000 to 2024. Our model is informed by poroelastic stress changes resulting from wastewater injection between 1995 and 2024 and is benchmarked against existing seismicity forecast models. Despite its simplicity, our model accurately reproduces the onset, peak, and decline of seismicity, demonstrating strong agreement with the observed earthquake activity in space and time. It provides robust constraints on permeability, yielding a range consistent with previously reported values. Based on the fit to the data, the model informed by poroelastic stress changes performs better. However, regardless of the assumed mechanism, both models yield similarly reliable seismicity forecasts, indicating that the choice of mechanism has a limited impact on forecasting performance. Finally, we estimate the probability of an M w ≥ 5 event occurring between 2021 and 2024 to range from 7% to 18% and conclude that seismic risk will remain elevated if wastewater injection volumes into the Arbuckle persist at similar levels in the coming years.
Copyright and License
© 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Acknowledgement
We thank Mateo Acosta, Qian Shi, Lei Jin, Stefan Hussenoeder and Josimar Alves Da Silva for discussions regarding the implementation of our model. This study was supported by the center of Geomechanics and Mitigation of Geohazards thanks to the enhancement project funded by ExxonMobil Technology and Engineering Company.
Supplemental Material
The supplementary material includes 13 additional figures. These figures present additional forecasting model results, fault orientations that maximize Coulomb stresses in the reference model, the joint distribution of the seismicity-rate model parameters, correlation maps of spatial forecasts, comparisons of stress and pore-pressure distributions at a specific time, stress maps, time series of average pore-pressure and Coulomb-stress changes, and Gutenberg−Richter distributions of modeled and observed seismicity.
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Additional details
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- Supplemental Material: https://ars.els-cdn.com/content/image/1-s2.0-S0012821X25004753-mmc1.pdf (URL)
Funding
- ExxonMobil (United States)
Dates
- Accepted
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2025-10-08
- Available
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2025-10-15Available online
- Available
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2025-10-15Version of record