Probabilistic Evaluation of Susceptibility to Fluid Injection-Induced Seismicity Based on Statistics of Fracture Criticality

Wenzhuo Cao*, Sevket Durucan, Wu Cai, Ji-Quan Shi, Anna Korre, Thomas Ratouis, Vala Hjörleifsdóttir, Bergur Sigfússon

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Fault reactivation and associated microseismicity pose a potential threat to industrial processes involving fluid injection into the subsurface. In this research, fracture criticality, defined as the gradient of critical fluid pressure change to trigger seismicity (Δpc/h), is proposed as a novel reservoir depth-independent metric of fault slip susceptibility. Based on statistics of the fracture criticality, a probabilistic evaluation framework for susceptibility to injection-induced seismicity was developed by integrating seismic observations and hydrogeological modelling of fluid injection operations for faulted reservoirs. The proposed seismic susceptibility evaluation method considers the injection-driven fluid pressure increase, the variability of fracture criticality, and regional fracture density. Utilising this methodology, the probabilistic distribution of fracture criticality was obtained to evaluate the potential for injection-induced seismicity in both fault and off-fault zones at the Hellisheiði geothermal site, Iceland. It has been found that the fracture criticality within both fault and off-fault zones shows natural variability (mostly ranging between 0.001 and 2.0 bar/km), and that fault zones tend to be characterised by larger fracture criticality values than the off-faut zones. Fracture criticality values estimated within each zone roughly follow a Gaussian distribution. Fault zones around five geothermal fluid re-injection wells at the site were estimated to have relatively high probability of seismic event occurrence, and these regions experienced high levels of induced seismicity over the microseismic monitoring period. The seismotectonic state estimated for each zone is generally consistent with the forecasted susceptibility to seismicity based on statistics of fracture criticality.

Original languageEnglish
Pages (from-to)7003-7025
Number of pages23
JournalRock Mechanics and Rock Engineering
Volume56
Issue number10
DOIs
Publication statusPublished - Oct 2023

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Funding

This research was carried out as part of the project “Synergetic Utilisation of CO2 storage Coupled with geothermal Energy Deployment—SUCCEED” funded through the ACT programme (Accelerating CCS Technologies, Horizon 2020 Project No 294766). Financial contributions made by the Department for Business, Energy & Industrial Strategy UK, the Ministry of Economic Affairs and Climate Policy, the Netherlands, the Scientific and Technological Research Council of Turkey are gratefully acknowledged. The authors also wish to thank the Swiss Seismological Service (SED) at ETH Zurich for their permission to use the Hengill (Iceland) seismic monitoring data from the COSEISMIQ network (http://networks.seismo.ethz.ch/en/networks/2c/ ). The authors also thank Ryan Schultz and an anonymous reviewer for their constructive comments and suggestions that helped improve the quality of the manuscript. This research was carried out as part of the project “Synergetic Utilisation of CO storage Coupled with geothermal Energy Deployment—SUCCEED” funded through the ACT programme (Accelerating CCS Technologies, Horizon 2020 Project No 294766). Financial contributions made by the Department for Business, Energy & Industrial Strategy UK, the Ministry of Economic Affairs and Climate Policy, the Netherlands, the Scientific and Technological Research Council of Turkey are gratefully acknowledged. The authors also wish to thank the Swiss Seismological Service (SED) at ETH Zurich for their permission to use the Hengill (Iceland) seismic monitoring data from the COSEISMIQ network ( http://networks.seismo.ethz.ch/en/networks/2c/ ). The authors also thank Ryan Schultz and an anonymous reviewer for their constructive comments and suggestions that helped improve the quality of the manuscript. 2

FundersFunder number
Swiss Seismological Service
Department for Business, Energy and Industrial Strategy, UK Government
Sociedad Española de Diabetes
Eidgenössische Technische Hochschule Zürich
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Ministerie van Economische Zaken en Klimaat

    Keywords

    • Fluid injection
    • Fracture criticality
    • Geothermal systems
    • Induced seismicity
    • Probabilistic seismic susceptibility evaluation

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