Fault reactivation and seismic risks induced by deep reservoir fracturing: Mechanisms, prediction and perspectives

With the advancement of fracturing technologies in deeper and more geologically complex formations, fault reactivation and induced seismicity have attracted increasing attention. The increasing frequency and magnitude of these events underscore the need for a robust understanding of the governing physical mechanisms. Elevated pore pressure, modified fault-loading conditions, and aseismic slip are widely acknowledged as the primary drivers. Recent studies have explored these mechanisms under varying factors, including fluid properties, rock ductility, poroelastic responses, and evolving fault stress states, thereby offering critical insights into model refinement. Probabilistic forecasting approaches, which combine statistical analyses of historical data with real-time monitoring, are being increasingly adopted in seismic risk assessments. In parallel, machine learning techniques are employed to process large seismic datasets and identify key patterns. However, their predictive capabilities remain limited by geological heterogeneity, subsurface complexity, and scarce observational data. Moreover, fluid–rock interactions further complicate the development of universally applicable models, thereby constraining the generalizability of mitigation strategies. This review synthesizes the current understanding of induced seismicity mechanisms, evaluates the prevailing prediction and mitigation methods, and identifies major challenges and future research directions. Advancements in these areas are essential to enhancing seismic risk management and ensuring the safe, sustainable development of deep-subsurface energy resources.

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Publication Details

Journal
International Journal of Mining Science and Technology
Published
2025-08-01
DOI
https://doi.org/10.1016/j.ijmst.2025.06.005
Citations
1
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
1.87

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article

Fault reactivation and seismic risks induced by deep reservoir fracturing: Mechanisms, prediction and perspectives

Suping Peng, Guoming Fu, Yang Ju, Hong Zhou et al.
1 citations
International Journal of Mining Science and Technology
earthquake and tectonic studies
1.87
article

Fault reactivation and seismic risks induced by deep reservoir fracturing: Mechanisms, prediction and perspectives

Suping Peng, Guoming Fu, Yang Ju, Hong Zhou, Shirong Ge
article en
1 citations

Abstract

With the advancement of fracturing technologies in deeper and more geologically complex formations, fault reactivation and induced seismicity have attracted increasing attention. The increasing frequency and magnitude of these events underscore the need for a robust understanding of the governing physical mechanisms. Elevated pore pressure, modified fault-loading conditions, and aseismic slip are widely acknowledged as the primary drivers. Recent studies have explored these mechanisms under varying factors, including fluid properties, rock ductility, poroelastic responses, and evolving fault stress states, thereby offering critical insights into model refinement. Probabilistic forecasting approaches, which combine statistical analyses of historical data with real-time monitoring, are being increasingly adopted in seismic risk assessments. In parallel, machine learning techniques are employed to process large seismic datasets and identify key patterns. However, their predictive capabilities remain limited by geological heterogeneity, subsurface complexity, and scarce observational data. Moreover, fluid–rock interactions further complicate the development of universally applicable models, thereby constraining the generalizability of mitigation strategies. This review synthesizes the current understanding of induced seismicity mechanisms, evaluates the prevailing prediction and mitigation methods, and identifies major challenges and future research directions. Advancements in these areas are essential to enhancing seismic risk management and ensuring the safe, sustainable development of deep-subsurface energy resources.

International Journal of Mining Science and TechnologyVol. 35(8)
China University of Mining and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 16%
earthquake and tectonic studies
1.87
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