Earthquake ground motion modelling of induced seismicity in the Groningen gas field


High Performance Computing
Earthquake ground motion modelling of induced seismicity in the Groningen gas field
Thursday 5th March 2020
Paolucci, R.; Mazzieri, I.; Piunno, G.; Smerzini, C.; Vanini, M.; Ozcebe, A.G.
Download link:
A key element in the seismic hazard and risk assessment due to induced earthquakes in the Groningen gas field is a ground motion model (GMM). Although significant efforts have been devoted to the construction of an empirical GMM, there is a growing interest in reducing its uncertainty through data-driven approaches. In the framework of the KEM research program launched by the Ministry of Economic Affairs and Climate Policy of the Netherlands, the authors explored the use of 3D physics-based numerical approaches to characterize earthquake ground motion in the Groningen area and to shed light on the potential impact of the specific geologic conditions, characterized by irregular geologic interfaces and thick layers of soft deposits at ground surface. Within the wider scope of this research, this paper is focused on the construction and validation of a large-scale ( 20 km × 20 km), heterogeneous 3D seismic wave propagation model for the Groningen area, based on the significant bulk of available geological, geophysical, geotechnical and seismological data. Results of physics-based numerical simulations are validated against the ground motion recordings of the Jan 8, 2018, ML 3.4 Zeerijp earthquake – the third largest event to date in the area. Taking advantage of suitable models of slip time functions at the seismic source and of the detailed geophysical model, the numerical simulations are found to reproduce accurately the observed features of ground motions at short epicentral distance (Repi < 10 km), in a broad frequency range, up to about 10 Hz. To achieve this level of accuracy, the total number of degrees-of-freedom was up to about 1 billion, implying taking advantage of high performance computing facilities. A sensitivity analysis is also addressed to discuss the impact of key modeling assumptions, specifically, the role of 3D underground geological features (“tunnel valleys”), the stochastic variability of shallow seismic velocities and the amplitude and frequency dependence of the quality factor. Amongst others, results point out crucial aspects in deriving GMMs for induced seismicity in Groningen, such as the magnitude and distance dependence of site amplification functions associated with 3D wave propagation features, as opposed to the standard assumption of vertically propagating plane waves.
This report, or a modified version of it, has been also submitted to, or published on
Earthquake Engineering and Structural Dynamics