Skip to main content
×
×
Home

Developing a model for the prediction of ground motions due to earthquakes in the Groningen gas field

  • Julian J. Bommer (a1), Bernard Dost (a2), Benjamin Edwards (a3), Pauline P. Kruiver (a4), Michail Ntinalexis (a5), Adrian Rodriguez-Marek (a6), Peter J. Stafford (a1) and Jan van Elk (a7)...
Abstract

Major efforts are being undertaken to quantify seismic hazard and risk due to production-induced earthquakes in the Groningen gas field as the basis for rational decision-making about mitigation measures. An essential element is a model to estimate surface ground motions expected at any location for each earthquake originating within the gas reservoir. Taking advantage of the excellent geological and geophysical characterisation of the field and a growing database of ground-motion recordings, models have been developed for predicting response spectral accelerations, peak ground velocity and ground-motion durations for a wide range of magnitudes. The models reflect the unique source and travel path characteristics of the Groningen earthquakes, and account for the inevitable uncertainty in extrapolating from the small observed magnitudes to potential larger events. The predictions of ground-motion amplitudes include the effects of nonlinear site response of the relatively soft near-surface deposits throughout the field.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Developing a model for the prediction of ground motions due to earthquakes in the Groningen gas field
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Developing a model for the prediction of ground motions due to earthquakes in the Groningen gas field
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Developing a model for the prediction of ground motions due to earthquakes in the Groningen gas field
      Available formats
      ×
Copyright
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Corresponding author
*Corresponding author. Email: jan.van-elk@shell.com
References
Hide All
Afshari, K. & Stewart, J.P., 2016a. Physically parameterized prediction equations for significant duration in active crustal regions. Earthquake Spectra 32 (4): 20572081.
Afshari, K. & Stewart, J.P., 2016b. Validation of duration parameters from SCEC broadband platform simulated ground motions. Seismological Research Letters 87 (6): 13551362.
Akkar, S., Sandıkkaya, M.A. & Bommer, J.J., 2014. Empirical ground-motion models for point- and extended-source crustal earthquake scenarios in Europe and the Middle East. Bulletin of Earthquake Engineering 12 (1): 359387. Erratum: 12(1), 389–390.
Al Atik, L., 2015. NGA-East: ground-motion standard deviation models for central and eastern United States. PEER Report 2015/07, Pacific Earthquake Engineering Research Center, University College Berkeley: 217 pp.
Bommer, J.J. & Alarcón, J.E., 2006. The prediction and use of peak ground velocity. Journal of Earthquake Engineering 10 (1): 131.
Bommer, J.J. & van Elk, J., 2017. Comment on ‘The maximum possible and the maximum expected earthquake magnitude for production-induced earthquakes at the gas field in Groningen, The Netherlands’ by Gert Zöller and Matthias Holschneider. Bulletin of the Seismological Society of America 107 (3): 15641567.
Bommer, J.J., Magenes, G., Hancock, J. & Penazzo, P., 2004. The influence of strong-motion duration on the seismic response of masonry structures. Bulletin of Earthquake Engineering 2 (1): 126.
Bommer, J.J., Dost, B., Edwards, B., Stafford, P.J., van Elk, J., Doornhof, D. & Ntinalexis, M., 2016. Developing an application-specific ground-motion model for induced seismicity. Bulletin of the Seismological Society of America 106 (1): 158173.
Bommer, J.J., Stafford, P.J., Edwards, B., Dost, B., van Dedem, E., Rodriguez-Marek, A., Kruiver, P., van Elk, J., Doornhof, D. & Ntinalexis, M., 2017. Framework for a ground-motion model for induced seismic hazard and risk analysis in the Groningen gas field, The Netherlands. Earthquake Spectra 33 (2): 481498.
Boore, D.M., 2003. Simulation of ground motion using the stochastic method. Pure & Applied Geophysics 160: 635676.
Bourne, S.J., Oates, S.J. van Elk, J. & Doornhof, D., 2014. A seismological model for earthquakes induced by fluid extraction from a subsurface reservoir. Journal of Geophysical Research: Solid Earth 119, doi: 10.1002/201JB011663.
Bourne, S.J., Oates, S.J. Bommer, J.J., Dost, B., van Elk, J. & Doornhof, D., 2015. A Monte Carlo method for probabilistic hazard assessment of induced seismicity due to conventional natural gas production. Bulletin of the Seismological Society of America 105 (3): 17211738.
Bozorgnia, Y. & Campbell, K.W., 2016. Ground motion model for the vertical-to-horizontal (V/H ratios) of PGA, PGV, and response spectra. Earthquake Spectra 32 (2): 951978.
Bradley, B.A., 2011. Correlation of significant duration with amplitude and cumulative intensity measures and its use in ground motion selection. Journal of Earthquake Engineering 15 (6): 809832.
Crowley, H., Polidoro, B., Pinho, R. & van Elk, J., 2017. Framework for developing fragility and consequence models for inside local personal seismic risk. Earthquake Spectra. doi: 10.1193/083116EQS140M.
Dost, B., van Eck, T. & Haak, H., 2004. Scaling of peak ground acceleration and peak ground velocity recorded in the Netherlands. Bolletino di Geofisica Teorica ed Applicata 45 (3): 153168.
Dost, B., Ruigrok, E. & Spetzler, J., 2017. Development of seismicity and probabilistic seismic hazard assessment for the Groningen gas field. Netherlands Journal of Geosciences / Geologie en Mijnbouw, this issue.
Kempton, J.J. & Stewart, J.P., 2006. Prediction equations for significant duration of earthquake ground motions considering site and near-source effects. Earthquake Spectra 22 (4): 9851013.
Kraaijpoel, D. & Dost, B., 2013. Implications of salt-related propagation and mode conversion effects on the analysis of induced seismicity. Journal of Seismology 17 (1): 95107.
Kruiver, P.P., Wiersema, A., Kloosteman, F.H., de Lange, G., Korff, M., Stafleu, J., Buscher, F., Harting, R. & Gunnink, J.L., 2017a. Characterisation of the Groningen subsurface for hazard and risk modelling. Netherlands Journal of Geosciences / Geologie en Mijnbouw, this issue.
Kruiver, P.P., van Dedem, E., Romijn, R., de Lange, G., Korff, M., Stafleu, J., Gunnink, J.L., Rodriguez-Marek, A., Bommer, J.J., van Elk, J. &Doornhof, D., 2017b. An integrated shear-wave velocity model for the Groningen gas field, The Netherlands. Bulletin of Earthquake Engineering 15 (9): 35553580.
Motazedian, D. & Atkinson, G.M., 2005. Stochastic finite-fault modelling based on a dynamic corner frequency. Bulletin of the Seismological Society of America 95: 9951010.
Rodriguez-Marek, A., Rathje, E.M., Bommer, J.J., Scherbaum, F. & Stafford, P.J., 2014. Application of single-station sigma and site response characterization in a probabilistic seismic hazard analysis for a new nuclear site. Bulletin of the Seismological Society of America 104 (4): 16011619.
Rodriguez-Marek, A., Kruiver, P.P., Meijers, P., Bommer, J.J., Dost, B., van Elk, J. & Doornhof, D., 2017. A regional site-response model for the Groningen gas field. Bulletin of the Seismological Society of America 107 (5): 20672077.
Stafford, P.J., Rodriguez-Marek, A., Edwards, B., Kruiver, P.P., & Bommer, J.J., 2017. Scenario dependence of linear site-effect factors for short-period response spectral ordinates. Bulletin of the Seismological Society of America. doi: 10.1785/0120170084.
Strasser, F.O., Abrahamson, N.A. & Bommer, J.J., 2009. Sigma: issues, insights, and challenges. Seismological Research Letters 80 (1): 4056.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Netherlands Journal of Geosciences
  • ISSN: 0016-7746
  • EISSN: 1573-9708
  • URL: /core/journals/netherlands-journal-of-geosciences
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 21
Total number of PDF views: 332 *
Loading metrics...

Abstract views

Total abstract views: 164 *
Loading metrics...

* Views captured on Cambridge Core between 17th January 2018 - 18th June 2018. This data will be updated every 24 hours.