A review of source models to further the understanding of the seismicity of the Groningen field

  • Daniela Kühn NORSAR, Kjeller, Norway; and GFZ German Research Centre for Geosciences, Potsdam, Germany https://orcid.org/0000-0002-2448-1510
  • Sebastian Hainzl GFZ German Research Centre for Geosciences, Potsdam, Germany
  • Torsten Dahm GFZ German Research Centre for Geosciences, Potsdam, Germany; and University of Potsdam, Potsdam, Germany
DOI: https://doi.org/10.1017/njg.2022.7
Keywords: deterministic, empirical, hybrid, machine learning, seismicity model

Abstract

The occurrence of felt earthquakes due to gas production in Groningen has initiated numerous studies and model attempts to understand and quantify induced seismicity in this region. The whole bandwidth of available models spans the range from fully deterministic models to purely empirical and stochastic models. In this article, we summarise the most important model approaches, describing their main achievements and limitations. In addition, we discuss remaining open questions and potential future directions of development.

Published
2022-05-27
How to Cite
Kühn , D., Hainzl , S., & Dahm , T. (2022). A review of source models to further the understanding of the seismicity of the Groningen field. Netherlands Journal of Geosciences, 101. https://doi.org/10.1017/njg.2022.7
Issue
Volume 101 - 2022
Section
Regular paper
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