scholarly journals Simulations for the development of a ground motion model for induced seismicity in the Groningen gas field, The Netherlands

2018 ◽  
Vol 17 (8) ◽  
pp. 4441-4456 ◽  
Author(s):  
B. Edwards ◽  
B. Zurek ◽  
E. van Dedem ◽  
P. J. Stafford ◽  
S. Oates ◽  
...  
Keyword(s):  
The Netherlands ◽  
Ground Motion ◽  
Induced Seismicity ◽  
Motion Model ◽  
Gas Field ◽  
Ground Motion Model ◽  
Groningen Gas Field

scholarly journals Defining the usable bandwidth of weak-motion records: application to induced seismicity in the Groningen Gas Field, the Netherlands

2021 ◽  
Author(s):  
Benjamin Edwards ◽  
Michail Ntinalexis
Keyword(s):  
The Netherlands ◽  
Ground Motion ◽  
High Frequency ◽  
Induced Seismicity ◽  
Parametric Model ◽  
Earthquake Ground Motion ◽  
Frequency Noise ◽  
Gas Field ◽  
High Frequency Noise ◽  
Groningen Gas Field

AbstractSeismic hazard and risk analyses are increasingly tapping into the previously underused resource of local weak-motion records. This is facilitating the development of local- or even application-specific models for the characterisation of earthquake ground motion. In turn, this offers the opportunity to derive non- or partially non-ergodic models and significantly reduce bias and uncertainty. However, weak-motion data, while carrying important information about local earthquake source, path and site effects, are susceptible to noise. We show that high-frequency noise has a record-, or region-specific, impact on pseudo-spectral acceleration (PSA). This impact depends on the shape of the records’ Fourier amplitude spectrum (FAS): PSA from moderately to highly damped ‘soil’ records (e.g. Groningen, the Netherlands) is much less susceptible to high-frequency noise than PSA from weakly damped ‘rock’ records (e.g. Eastern North America). We make use of simulated ground motion records to develop a parametric model for the lower usable period of PSA (Tmin). The model accounts for the impact of high-frequency noise on PSA, conditional on easily measured parameters characterising the shape of a record’s FAS. We then present a workflow, describing processing undertaken for records of induced seismicity from the Groningen gas field. The workflow includes the definition of maximum and minimum usable frequencies and periods of FAS and PSA, respectively. As part of the workflow, we present an approach that considers multiple estimates of Tmin. These include the parametric model and, additionally, record-specific hybrid simulations that artificially extend or modify time series’ FAS beyond the noise floor to assess subsequent impacts on PSA.

Framework for a Ground-Motion Model for Induced Seismic Hazard and Risk Analysis in the Groningen Gas Field, The Netherlands

2017 ◽  
Vol 33 (2) ◽  
pp. 481-498 ◽  
Author(s):  
Julian J. Bommer ◽  
Peter J. Stafford ◽  
Benjamin Edwards ◽  
Bernard Dost ◽  
Ewoud van Dedem ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Ground Motion ◽  
Quantitative Estimation ◽  
Epistemic Uncertainty ◽  
Induced Earthquakes ◽  
Gas Field ◽  
Small Magnitude ◽  
Ground Motion Model ◽  
Hazard And Risk ◽  
Groningen Gas Field

The potential for building damage and personal injury due to induced earthquakes in the Groningen gas field is being modeled in order to inform risk management decisions. To facilitate the quantitative estimation of the induced seismic hazard and risk, a ground motion prediction model has been developed for response spectral accelerations and duration due to these earthquakes that originate within the reservoir at 3 km depth. The model is consistent with the motions recorded from small-magnitude events and captures the epistemic uncertainty associated with extrapolation to larger magnitudes. In order to reflect the conditions in the field, the model first predicts accelerations at a rock horizon some 800 m below the surface and then convolves these motions with frequency-dependent nonlinear amplification factors assigned to zones across the study area. The variability of the ground motions is modeled in all of its constituent parts at the rock and surface levels.

Ground Motion Model for Small-to-Moderate Earthquakes in Texas, Oklahoma, and Kansas

2019 ◽  
Vol 35 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Georgios Zalachoris ◽  
Ellen M. Rathje
Keyword(s):  
North America ◽  
Ground Motion ◽  
Induced Seismicity ◽  
Ground Motions ◽  
Site Amplification ◽  
Eastern North America ◽  
Motion Model ◽  
Ground Motion Model ◽  
Magnitude Scaling ◽  
Proposed Model

A ground motion model (GMM) tuned to the characteristics of the observed, and potentially induced, seismicity in Texas, Oklahoma, and Kansas is developed using a database of 4,528 ground motions recorded during 376 events of Mw > 3.0 in the region. The GMM is derived using the referenced empirical approach with an existing Central and Eastern North America model as the reference GMM and is applicable for Mw = 3.0–5.8 and hypocentral distances less than 500 km. The proposed model incorporates weaker magnitude scaling than the reference GMM for periods less than about 1.0 s, resulting in smaller predicted ground motions at larger magnitudes. The proposed model predicts larger response spectral accelerations at short hypocentral distances (≤20 km), which is likely because of the shallow hypocenters of events in Texas, Oklahoma, and Kansas. Finally, the VS30 scaling for the newly developed model predicts less amplification at VS30 < 600 m/s than the reference GMM, which is likely because of the generally thinner sediments in the study area. This finding is consistent with recent studies regarding site amplification in Central and Eastern North America.

scholarly journals Stress-based, statistical modeling of the induced seismicity at the Groningen gas field, The Netherlands

2020 ◽  
Vol 79 (11) ◽  
Author(s):  
Gudrun Richter ◽  
Sebastian Hainzl ◽  
Torsten Dahm ◽  
Gert Zöller
Keyword(s):  
The Netherlands ◽  
Statistical Modeling ◽  
Induced Seismicity ◽  
Gas Field ◽  
Groningen Gas Field

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

2020 ◽  
Vol 50 (1) ◽  
pp. 135-154
Author(s):  
R. Paolucci ◽  
I. Mazzieri ◽  
G. Piunno ◽  
C. Smerzini ◽  
M. Vanini ◽  
...  
Keyword(s):  
Ground Motion ◽  
Induced Seismicity ◽  
Earthquake Ground Motion ◽  
Motion Modeling ◽  
Gas Field ◽  
Groningen Gas Field

scholarly journals Developing an Application‐Specific Ground‐Motion Model for Induced Seismicity

2015 ◽  
Vol 106 (1) ◽  
pp. 158-173 ◽  
Author(s):  
Julian J. Bommer ◽  
Bernard Dost ◽  
Benjamin Edwards ◽  
Peter J. Stafford ◽  
Jan van Elk ◽  
...  
Keyword(s):  
Ground Motion ◽  
Induced Seismicity ◽  
Motion Model ◽  
Ground Motion Model ◽  
Application Specific
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