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Data Publication

The database of ground-motion recordings, site profiles and amplification factors used for the development of the Groningen Ground-Motion Prediction Models

Ntinalexis, Michail | Kruiver, Pauline | Bommer, Julian | Ruigrok, Elmer | Rodriguez-Marek, Adrian | Edwards, Benjamin | Pinho, Rui | Spetzler, Jesper | Obando Hernandez, Edwin | Pefkos, Manos | Bahrampouri, Mahdi | van Onselen, Erik | Dost, Bernard | van Elk, Jan

YoDa Data Repository, Utrecht University, Netherlands

(2024)

Induced earthquakes have occurred in the Groningen gas field in the Netherlands, since 1991, almost three decades after production began in 1963. As part of the Hazard and Risk Assment for the Groningen gas field, the field operator NAM (Nederlandse Aardolie Maatschappij BV) developed the Ground-Motion Model or Ground-Motion Prediction Model (GMM/GMPM) for spectral accelerations (Bommer et al., 2022a and b). The model translates seismicity to forces applied to buildings. With the model already published in said research articles, this data publication contains the data that were used to develop the model. This includes: (1) ground-motion recordings, (2) a field-wide shear-wave velocity and lithology model, (3) site characterization data at recording stations and (4) supplementary files, such as MATLAB code for the GMPM as well as key reports and papers. The published database is the result of an unprecedented data acquisition programme, lasting nearly 10 years, and is now provided openly by NAM BV, through EPOS-NL, the Dutch infrastructure for solid Earth sciences. Contact person for this dataset: Michail Ntinalexis - michail.ntinalexis10@alumni.imperial.ac.uk.

Keywords


Originally assigned keywords
Natural Sciences Earth and related environmental sciences 15
Groningen gas field
Induced seismicity
earthquake
ground motion
spectral acceleration
shear wave
velocity model
lithology
gas field
anthropogenic setting
Permian
Rotliegend
Slochteren sandstone
Fourier spectra
response spectra
EPOSNL
EPOS MultiScale Laboratories
Geological model
Subsurface
Seismic Cone Penetration Test
Hazard and Risk Assessment

Corresponding MSL vocabulary keywords
Induced seismicity
induced seismicity
seismic velocity field model
gas field
gas field
Permian
Slochteren sandstone

MSL enriched keywords
antropogenic setting
Induced seismicity
induced seismicity
Models
subsurface property modelling
seismic velocity field model
gas field
subsurface energy production
hydrocarbon energy production
gas field
Phanerozoic
Paleozoic
Permian
sedimentary rock
sandstone
wacke
Slochteren sandstone

MSL enriched sub domains i

geo-energy test beds


Source publisher

YoDa Data Repository, Utrecht University, Netherlands


DOI

10.24416/uu01-kc2zhq


Authors

Ntinalexis, Michail

0000-0002-6812-9658

Imperial College London;

Kruiver, Pauline

0000-0003-0409-3542

Royal Netherlands Meteorological Institute (KNMI);

Bommer, Julian

0000-0002-9709-5223

Imperial College London;

Ruigrok, Elmer

0000-0001-7153-5115

Royal Netherlands Meteorological Institute (KNMI);

Rodriguez-Marek, Adrian

0000-0002-8384-4721

Virginia Polytechnic Institute and State University, Blacksburg, United States;

Edwards, Benjamin

0000-0001-5648-8015

Swiss Seismological Service, ETH Zürich;

Pinho, Rui

0000-0001-6767-9036

University of Pavia, Department of Civil Engineering and Architecture;

Spetzler, Jesper

Royal Netherlands Meteorological Institute (KNMI);

Obando Hernandez, Edwin

Deltares, Delft, the Netherlands;

Pefkos, Manos

Deltares, Delft, the Netherlands;

Bahrampouri, Mahdi

0000-0001-6529-7018

Virginia Polytechnic Institute and State University;

van Onselen, Erik

Deltares, Delft, the Netherlands;

Dost, Bernard

0000-0002-3839-7934

Royal Netherlands Meteorological Institute (KNMI);

van Elk, Jan

Nederlandse Aardolie Maatschappij BV, Assen, Netherlands;


References

Bommer, J. J., Stafford, P. J., Ruigrok, E., Rodriguez-Marek, A., Ntinalexis, M., Kruiver, P. P., Edwards, B., Dost, B., & van Elk, J. (2022). Ground-motion prediction models for induced earthquakes in the Groningen gas field, the Netherlands. Journal of Seismology, 26(6), 1157–1184. https://doi.org/10.1007/s10950-022-10120-w

10.1007/s10950-022-10120-w

IsSupplementTo


Citiation

Ntinalexis, M., Kruiver, P., Bommer, J., Ruigrok, E., Rodriguez-Marek, A., Edwards, B., Pinho, R., Spetzler, J., Obando Hernandez, E., Pefkos, M., Bahrampouri, M., van Onselen, E., Dost, B., & van Elk, J. (2024). The database of ground-motion recordings, site profiles and amplification factors used for the development of the Groningen Ground-Motion Prediction Models (Version 1.0) [Data set]. Utrecht University. https://doi.org/10.24416/UU01-KC2ZHQ


Collection Period

2013-01-01 - 2023-01-01


Geo location(s)

Groningen gas field, the Netherlands