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

Bommer, Julian J, Stafford, Peter J, Ruigrok, Elmer, Rodriguez-Marek, Adrian, Ntinalexis, Michail, Kruiver, Pauline P, Edwards, Benjamin ORCID: 0000-0001-5648-8015, Dost, Bernard and van Elk, Jan (2022) Ground-motion prediction models for induced earthquakes in the Groningen gas field, the Netherlands. JOURNAL OF SEISMOLOGY, 26 (6). pp. 1157-1184.

Access the full-text of this item by clicking on the Open Access link.

Official URL: http://dx.doi.org/10.1007/s10950-022-10120-w

Abstract

<jats:title>Abstract</jats:title><jats:p>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,<jats:italic>M</jats:italic><jats:sub><jats:italic>L</jats:italic></jats:sub>; hypocentral distance,<jats:italic>R</jats:italic><jats:sub>hyp</jats:sub>; and the time-averaged shear-wave velocity over the upper 30 m,<jats:italic>V</jats:italic><jats:sub>S30</jats:sub>. 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<jats:italic>M</jats:italic><jats:sub><jats:italic>L</jats:italic></jats:sub> ≤ 3.6 to much larger magnitudes.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	Groningen gas field, Ground-motion prediction, Induced earthquakes, Seismic risk analysis, Site response
Divisions:	Faculty of Science and Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	08 Mar 2023 09:59
Last Modified:	16 Mar 2023 07:40
DOI:	10.1007/s10950-022-10120-w
Open Access URL:	https://doi.org/10.1007/s10950-022-10120-w
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3168849