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Data Publication

Integrating the geological database of the subsurface of the Netherlands, for efficient visualization and interpretation

Matenco, Liviu | Beekman, Fred

YoDa Data Repository, Utrecht University, Netherlands

(2023)

This data publication provides an integrated framework of the public geological database of the Dutch subsurface, for geological interpretation. It complements the extensive existing information portals available for public use by providing efficient visualization and interpretation of geologically relevant information at the scale of the entire country. The relevant dataset is integrated into a single Schlumberger PetrelTM project, while the reflections seismics and wells dataset is provided separately in platform-independent formats with included metadata. While the Petrel software utilized in this project requires a commercial license, it is widely used within both industry and academia, and we anticipate that this data publication can be utilized by a wide audience. We emphasize that all data and models integrated in this project are in itself publicly available, and maintained so by the Dutch Geological Survey of TNO. Among others, the present project integrates 10,599 2D seismic lines, 280 3D seismic cubes, 6,590 wells and 4,752 composite wells logs. The project is not exhaustive in terms of all available subsurface data in the Netherlands and should be considered as providing an easier start for anyone interested in visualizing and interpreting the Netherlands subsurface. The present publication on Yoda data services includes version 3.4 of the Petrel project. The most recent version can be found in a publicly accessible SURF drive: https://uu.data.surfsara.nl/index.php/s/hOEuDK2a5NmuWiw, along with the large seismic dataset referred to in the Petrel project. If you encounter any issues in accessing the dataset on Yoda or on SURF, please contact info@epos-nl.nl. For questions on the Petrel project, or the open data that it integrates, please contact Liviu Matenco: l.c.matenco@uu.nl

Keywords


Originally assigned keywords
Natural Sciences Earth and related environmental sciences 15
Petrel
Geological formation
Geological model
Lithostratigraphy
Stratigraphy
formation horizon
geological horizon
Borehole
Wellbore
Well log
LIS
LAS
Gamma ray
Velocity model
Slochteren sandstone
Basal Zechstein
Rotliegend
Neogene
Paleogene
Cretaceous
Jurassic
Triassic
Permian
Carboniferous
gas field
geothermal field
continental crust
lithosphere
sonic
EPOS Geological Information and Modelling
EPOSNL
the Netherlands
Groningen gas field
subsurface
subsurface storage
Seismic
seismic reflection
2D seismic line
2D seismic cube
Velmod
Digital Geological Model
DGMDiep

Corresponding MSL vocabulary keywords
Petrel (Schlumberger)
seismic velocity field model
Slochteren sandstone
Basal Zechstein
Neogene
Paleogene
Cretaceous
Jurassic
Triassic
Permian
Carboniferous
gas field
gas field
continental crust
lithosphere
subsurface storage
subsurface storage

MSL enriched keywords
Software
Petrel (Schlumberger)
Models
subsurface property modelling
seismic velocity field model
sedimentary rock
sandstone
wacke
Slochteren sandstone
evaporite
gypsum or anhydrite
Basal Zechstein
Phanerozoic
Cenozoic
Neogene
Paleogene
Mesozoic
Cretaceous
Jurassic
Triassic
Paleozoic
Permian
Carboniferous
antropogenic setting
gas field
subsurface energy production
hydrocarbon energy production
gas field
Earth's structure
Earth crust
continental crust
lithosphere
subsurface storage
subsurface storage

MSL enriched sub domains i

analogue modelling of geologic processes
geo-energy test beds


Source publisher

YoDa Data Repository, Utrecht University, Netherlands


DOI

10.24416/UU01-7M15N6


Authors

Matenco, Liviu

0000-0001-7448-6929

Utrecht University;

Beekman, Fred

0000-0002-8455-999X

Utrecht University;


Contributers

, Dutch Geological Survey

HostingInstitution

TNO;


References

Aardolie Maatschappij (NAM), N. (2020). Petrel geological model of the Groningen gas field, the Netherlands. <i>Utrecht University</i>. https://doi.org/10.24416/UU01-1QH0MW

10.24416/UU01-1QH0MW

HasPart

HasPart

HasPart

HasPart

Dost, B., Ruigrok, E., & Spetzler, J. (2017). Development of seismicity and probabilistic hazard assessment for the Groningen gas field. Netherlands Journal of Geosciences, 96(5), s235–s245. https://doi.org/10.1017/njg.2017.20

10.1017/njg.2017.20

References

Dost, B., van Stiphout, A., Kühn, D., Kortekaas, M., Ruigrok, E., & Heimann, S. (2020). Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, the Netherlands, Part 2: Application. Bulletin of the Seismological Society of America, 110(5), 2112–2123. https://doi.org/10.1785/0120200076

10.1785/0120200076

References

Kombrink, H., Doornenbal, J. C., Duin, E. J. T., den Dulk, M., ten Veen, J. H., & Witmans, N. (2012). New insights into the geological structure of the Netherlands; results of a detailed mapping project. Netherlands Journal of Geosciences - Geologie En Mijnbouw, 91(4), 419–446. https://doi.org/10.1017/s0016774600000329

10.1017/S0016774600000329

References

References

Smith, J. D., White, R. S., Avouac, J.-P., & Bourne, S. (2020). Probabilistic earthquake locations of induced seismicity in the Groningen region, the Netherlands. Geophysical Journal International, 222(1), 507–516. https://doi.org/10.1093/gji/ggaa179

10.1093/gji/ggaa179

References

Willacy, C., van Dedem, E., Minisini, S., Li, J., Blokland, J.-W., Das, I., & Droujinine, A. (2019). Full-waveform event location and moment tensor inversion for induced seismicity. GEOPHYSICS, 84(2), KS39–KS57. https://doi.org/10.1190/geo2018-0212.1

10.1190/geo2018-0212.1

References


Citiation

Matenco, L., & Beekman, F. (2023). Integrating the geological database of the subsurface of the Netherlands, for efficient visualization and interpretation (Version 1.0) [Data set]. Utrecht University. https://doi.org/10.24416/UU01-7M15N6


Collection Period

1958-01-01 - 2023-04-01


Geo location(s)

the Netherlands