A database of ground motion recordings, site profiles, and amplification factors from the Groningen gas field in the Netherlands

Ntinalexis, Michail; Kruiver, Pauline P.; Bommer, Julian J.; Ruigrok, Elmer; Rodríguez-Marek, Adrián; Edwards, Ben; Pinho, Rui; Spetzler, Jesper; Hernández, Edwin; Pefkos, Manos; Bahrampouri, Mahdi; Onselen, Erik P van; Dost, B.; Elk, Jan van

doi:10.1177/87552930221140926

Cited by 6 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Instead of anticipating these parameters, we use the known catalogue details for these events (perturbed about their reported errors) (NORSAR 2018). As well, we fit the only free GMPE parameter (inter-event Z-score) based on observed shaking intensities (Dost and Haak, 1997;Dost and Kraaijpoel, 2013;Ruigrok and Dost, 2020;Ntinalexis et al, 2022). All further steps in our workflow proceed as normal with a 1000-trial Monte Carlo approach.…”

Section: Calibration Of Risk Tolerancesmentioning

confidence: 99%

“…Funding for this work came from the Stanford Center for Induced and Triggered Seismicity and the DEEP project which has been subsidized through the Cofund GEOTHERMICA by DETEC (CH), DoE (USA), MEDDE (FR), Jülich (DE), DCCAE/GSI (IRL), and RVO (NL). Geothermal gradient (Békési et al, 2020), trailing seismicity model (Schultz et al, 2022), GMPE model (Bommer et al, 2021b), site amplification (Heath et al, 2020), population density (Rose et al, 2019), nuisance function (Schultz et al, 2021a), fragility function (Korswagen et al, 2019), vulnerability function (Crowley and Pinho, 2020), earthquake catalogue (KNMI 2022), and ground motion databases (Dost and Haak, 1997, Dost and Kraaijpoel, 2013, Ruigrok and Dost, 2020, Ntinalexis et al, 2022 are derived from prior studies. Routines and publicly available data used to create the figures and results of this paper can be found online at https://github.com/RyanJamesSchultz/riskTLPnl.…”

Section: Acknowledgmentsmentioning

confidence: 99%

See 1 more Smart Citation

Induced seismicity red-light thresholds for enhanced geothermal prospects in the Netherlands

et al. 2022

View full text Add to dashboard Cite

Section: Calibration Of Risk Tolerancesmentioning

confidence: 99%

Section: Acknowledgmentsmentioning

confidence: 99%

Induced seismicity red-light thresholds for enhanced geothermal prospects in the Netherlands

et al. 2022

View full text Add to dashboard Cite

Earthquake hazard and risk analysis for natural and induced seismicity: towards objective assessments in the face of uncertainty

Bommer

2022

Bull Earthquake Eng

View full text Add to dashboard Cite

The fundamental objective of earthquake engineering is to protect lives and livelihoods through the reduction of seismic risk. Directly or indirectly, this generally requires quantification of the risk, for which quantification of the seismic hazard is required as a basic input. Over the last several decades, the practice of seismic hazard analysis has evolved enormously, firstly with the introduction of a rational framework for handling the apparent randomness in earthquake processes, which also enabled risk assessments to consider both the severity and likelihood of earthquake effects. The next major evolutionary step was the identification of epistemic uncertainties related to incomplete knowledge, and the formulation of frameworks for both their quantification and their incorporation into hazard assessments. Despite these advances in the practice of seismic hazard analysis, it is not uncommon for the acceptance of seismic hazard estimates to be hindered by invalid comparisons, resistance to new information that challenges prevailing views, and attachment to previous estimates of the hazard. The challenge of achieving impartial acceptance of seismic hazard and risk estimates becomes even more acute in the case of earthquakes attributed to human activities. A more rational evaluation of seismic hazard and risk due to induced earthquakes may be facilitated by adopting, with appropriate adaptations, the advances in risk quantification and risk mitigation developed for natural seismicity. While such practices may provide an impartial starting point for decision making regarding risk mitigation measures, the most promising avenue to achieve broad societal acceptance of the risks associated with induced earthquakes is through effective regulation, which needs to be transparent, independent, and informed by risk considerations based on both sound seismological science and reliable earthquake engineering.

show abstract

Ground-motion prediction models for induced earthquakes in the Groningen gas field, the Netherlands

et al. 2022

View full text Add to dashboard Cite

Small-magnitude earthquakes induced by gas production in the Groningen field in the Netherlands have prompted the development of seismic risk models that serve both to estimate the impact of these events and to explore the efficacy of different risk mitigation strategies. A core element of the risk modelling is ground-motion prediction models (GMPM) derived from an extensive database of recordings obtained from a dense network of accelerographs installed in the field. For the verification of damage claims, an empirical GMPM for peak ground velocity (PGV) has been developed, which predicts horizontal PGV as a function of local magnitude, ML; hypocentral distance, Rhyp; and the time-averaged shear-wave velocity over the upper 30 m, VS30. For modelling the risk due to potential induced and triggered earthquakes of larger magnitude, a GMPM for response spectral accelerations has been developed from regressions on the outputs from finite-rupture simulations of motions at a deeply buried rock horizon. The GMPM for rock motions is coupled with a zonation map defining frequency-dependent non-linear amplification factors to obtain estimates of surface motions in the region of thick deposits of soft soils. The GMPM for spectral accelerations is formulated within a logic-tree framework to capture the epistemic uncertainty associated with extrapolation from recordings of events of ML ≤ 3.6 to much larger magnitudes.

show abstract

A database of ground motion recordings, site profiles, and amplification factors from the Groningen gas field in the Netherlands

Cited by 6 publications

References 37 publications

Induced seismicity red-light thresholds for enhanced geothermal prospects in the Netherlands

Induced seismicity red-light thresholds for enhanced geothermal prospects in the Netherlands

Earthquake hazard and risk analysis for natural and induced seismicity: towards objective assessments in the face of uncertainty

Ground-motion prediction models for induced earthquakes in the Groningen gas field, the Netherlands

Contact Info

Product

Resources

About