An integrated shear-wave velocity model for the Groningen gas field, The Netherlands

Pauline P. Kruiver*, Ewoud van Dedem, Remco Romijn, Ger de Lange, Mandy Korff, Jan Stafleu, Jan L. Gunnink, Adrian Rodriguez-Marek, Julian J. Bommer, Jan van Elk, Dirk Doornhof

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

78 Citations (Scopus)
209 Downloads (Pure)

Abstract

A regional shear-wave velocity (VS) model has been developed for the Groningen gas field in the Netherlands as the basis for seismic microzonation of an area of more than 1000 km2. The VS model, extending to a depth of almost 1 km, is an essential input to the modelling of hazard and risk due to induced earthquakes in the region. The detailed VS profiles are constructed from a novel combination of three data sets covering different, partially overlapping depth ranges. The uppermost 50 m of the VS profiles are obtained from a high-resolution geological model with representative VS values assigned to the sediments. Field measurements of VS were used to derive representative VS values for the different types of sediments. The profiles from 50 to 120 m are obtained from inversion of surface waves recorded (as noise) during deep seismic reflection profiling of the gas reservoir. The deepest part of the profiles is obtained from sonic logging and VP–VS relationships based on measurements in deep boreholes. Criteria were established for the splicing of the three portions to generate continuous models over the entire depth range for use in site response calculations, for which an elastic half-space is assumed to exist below a clear stratigraphic boundary and impedance contrast encountered at about 800 m depth. In order to facilitate fully probabilistic site response analyses, a scheme for the randomisation of the VS profiles is implemented.

Original languageEnglish
Pages (from-to)3555–3580
Number of pages26
JournalBulletin of Earthquake Engineering
Volume15
Issue number9
DOIs
Publication statusPublished - 20 Feb 2017

Keywords

  • Geology
  • Microzonation
  • Randomisation
  • Shear-wave velocity
  • Site response analysis
  • Surface-wave inversion

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