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Metadata Files

Data Publication

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

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

Utrecht University

(2024)

Descriptions

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 (1.5)
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
EPOS-NL
EPOS Multi-Scale Laboratories
Geological model
Subsurface
Seismic Cone Penetration Test
Hazard and Risk Assessment

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

MSL enriched keywords
induced seismicity
Models
subsurface property modelling
seismic velocity field model
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

https://public.yoda.uu.nl/geo/UU01/KC2ZHQ.html

Source publisher

Utrecht University


DOI

10.24416/uu01-kc2zhq


Creators

Michail Ntinalexis

Imperial College London

ORCID:

https://orcid.org/0000-0002-6812-9658

Pauline Kruiver

Royal Netherlands Meteorological Institute (KNMI)

ORCID:

https://orcid.org/0000-0003-0409-3542

Julian Bommer

Imperial College London

ORCID:

https://orcid.org/0000-0002-9709-5223

Elmer Ruigrok

Royal Netherlands Meteorological Institute (KNMI)

ORCID:

https://orcid.org/0000-0001-7153-5115

Adrian Rodriguez-Marek

Virginia Polytechnic Institute and State University, Blacksburg, United States

ORCID:

https://orcid.org/0000-0002-8384-4721

Benjamin Edwards

Swiss Seismological Service, ETH Zürich

ORCID:

https://orcid.org/0000-0001-5648-8015

Rui Pinho

University of Pavia, Department of Civil Engineering and Architecture

ORCID:

https://orcid.org/0000-0001-6767-9036

Jesper Spetzler

Royal Netherlands Meteorological Institute (KNMI)

Author identifier (Scopus):

https://www.scopus.com/authid/detail.uri?authorId=6601994621

Edwin Obando Hernandez

Deltares, Delft, the Netherlands

Author identifier (Scopus):

https://www.scopus.com/authid/detail.uri?authorId=57221605448

Manos Pefkos

Deltares, Delft, the Netherlands

Author identifier (Scopus):

https://www.scopus.com/authid/detail.uri?authorId=57221598804

Mahdi Bahrampouri

Virginia Polytechnic Institute and State University

ORCID:

https://orcid.org/0000-0001-6529-7018

Erik van Onselen

Deltares, Delft, the Netherlands

Author identifier (Scopus):

https://www.scopus.com/authid/detail.uri?authorId=57204712467

Bernard Dost

Royal Netherlands Meteorological Institute (KNMI)

ORCID:

https://orcid.org/0000-0002-3839-7934

Jan van Elk

Nederlandse Aardolie Maatschappij BV, Assen, Netherlands

Author identifier (Scopus):

https://www.scopus.com/authid/detail.uri?authorId=6603190738


References

https://doi.org/10.1007/s10950-022-10120-w


Citation

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


Dates

Updated:

2024-07-12T11:12:25

Collected:

2013-01-01/2023-01-01


Language

en


Rights

Open - freely retrievable

Creative Commons Attribution 4.0 International Public License


Datacite version

1.0


Geo location(s)

Groningen gas field, the Netherlands