Abstract

Seismicity associated with subsurface operations is a major societal concern. It is therefore critical to improve predictions of the induced seismic hazard. Current statistical approaches account for the physics of pore pressure increase only. Here, we present a novel mathematical model that generalises adopted statistics for use in arbitrary injection/production protocols and applies to arbitrary physical processes. In our model, seismicity is driven by a normalised integral over the spatial reservoir volume of induced variations in frictional Coulomb stress, which—combined with the seismogenic index—provides a dimensionless proxy of the induced seismic hazard. Our model incorporates the classical pressure diffusion based and poroelastic seismogenic index models as special cases. Applying our approach to modeling geothermal systems, we find that seismicity rates are sensitive to imposed fluid-pressure rates, temperature variations, and tectonic conditions. We further demonstrate that a controlled injection protocol can decrease the induced seismic risk and that thermo-poroelastic stress transfer results in a larger spatial seismic footprint and in higher-magnitude events than does direct pore pressure impact for the same amount of injected volume and hydraulic energy. Our results, validated against field observations, showcase the relevance of the novel approach to forecast seismic hazards induced by subsurface activities.

Highlights

  • Seismicity associated with subsurface operations is a major societal concern

  • The advantage of stochastic analysis is that once calibrated to available catalogues, it can provide near-real-time forecasts of seismic hazards that can be fed into advanced traffic light systems (ATLS)[6,7]

  • We identified two main stages in the evolution of the system: (1) a short-term regime, during which instability is driven by the induced pore pressure increase near the injection well and variations in FCS are limited by the fluid-pressurised front, and (2) a long-term regime, which shows a dominance of thermo-poroelastic effects (Figs. 3, 4)

Read more

Summary

Introduction

Seismicity associated with subsurface operations is a major societal concern. It is critical to improve predictions of the induced seismic hazard. By assuming that pore pressure relaxation triggers instability, the number of events ( N≥M(t) ) scales with the total injection volume ( Vfluid(t) ), and the classical scaling between induced event magnitude and net injected fluid ­volume[9,10,23,24] can be derived as: δ (t) = log10[Vfluid(t)].

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.