Exploration and sustainable exploitation of Danish and Greenlandic energy. Programme areas include deep and shallow geothermal energy, hydropower, marine-physical planning and oil and gas.

The Energy resources programme includes contributions from the following departments at GEUS:
  • Geophysics
  • Groundwater and Quaternary Geology Mapping
  • Glaciology and Climate
  • Marine Geology
  • Reservoir Geology
  • Stratigraphy

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1 to 10 of 29 Results
May 16, 2024
Schovsbo, Niels Hemmingsen, 2024, "Replication Data for: Analysis of the applicability of cuttings samples to test seal integrity, examples from the Triassic to Jurassic interval in 8 wells in Eastern Denmark", https://doi.org/10.22008/FK2/VXBPHS, GEUS Dataverse, V1
Appendix B of GEUS report 2024/10. Data included are raw HH-XRF measurments of cuttings nad conversion table to ICP-OES/MS data
Feb 27, 2024
Fyhn, Michael Bryld Wessel, 2024, "Two-Way Time (TWT) grids from the Jammerbugt project", https://doi.org/10.22008/FK2/NIGXVG, GEUS Dataverse, V2
GEUS’ gridded interpretations in two-way time of the Jammerbugt structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2023 (the GEUS2023-Jammerbugt survey) and legacy seismic data and p...
Dec 13, 2023
Abramovitz, Tanni, 2023, "Two-Way Time (TWT) grids from the Gassum project", https://doi.org/10.22008/FK2/KF6WIL, GEUS Dataverse, V1
GEUS’ gridded interpretations in two-way time of the Gassum structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2023 (the GEUS2023-GASSUM survey) and legacy seismic data and published...
Dec 12, 2023
Abramovitz, Tanni, 2023, "Two-Way Time (TWT) grids from the Rødby project", https://doi.org/10.22008/FK2/LVKTLO, GEUS Dataverse, V1
GEUS’ gridded interpretations in two-way time of the Rødby structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2023 (the GEUS2023-ROEDBY survey) and legacy seismic data and published...
Nov 28, 2023
Gregersen, Ulrik; Smit, Florian W.H., 2023, "Two-Way Time (TWT) grids from the Havnsø project", https://doi.org/10.22008/FK2/ADIJKG, GEUS Dataverse, V2
GEUS’ gridded interpretations in two-way time of the Havnsø structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2022 (the GEUS2022-HAVNSOE survey and the reprocessing GEUS2022-HAVNSOE...
Nov 21, 2023
Gregersen, Ulrik; Smit, Florian W.H., 2023, "Two-Way Time (TWT) grids from the Stenlille project", https://doi.org/10.22008/FK2/KYVUZQ, GEUS Dataverse, V1
GEUS’ gridded interpretations in two-way time of the Stenlille structure from the CCS2022–2024 project. The grids in two-way time from key seismic horizons of this folder are based on 2D seismic data acquired in 2022 (the GEUS2022-STENLILLE survey) and legacy seismic data and pub...
Nov 13, 2023
GEUS, 2022, "Formation tops for deep exploration wells drilled in Denmark, v. 1.5", https://doi.org/10.22008/FK2/RJ35BW, GEUS Dataverse, V2
Compilation of lithostratigraphic tops in deep Danish exploration wells with information on source of data
Sep 22, 2023
Peter Frykman, 2020, "3D static reservoir model of the Havnsø structure in Petrel™ format, v. 2020", https://doi.org/10.22008/FK2/44TKZR, GEUS Dataverse, V1
3D numerical reservoir model of the Gassum Formation in the Havnsø structure (western Zealand, Denmark) in Petrel™ format. The model is based on a simplistic facies model which at present does not reflect the complex sand/shale architecture of the Gassum Formation. The model uses...
Sep 22, 2023
GEUS, 2014, "Standard lithostratigraphic scheme for the central North Sea area", https://doi.org/10.22008/FK2/ITDOPC, GEUS Dataverse, V1
Standard lithostratigraphic scheme for the central North Sea area compiled using UK, Norwegian and Danish sources
Feb 3, 2023
Schovsbo, Niels, 2023, "Replication Data for: Holmslykke, H.D., Schovsbo, N.H., Kristensen, L., Weibel, R., Nielsen, LH., 2019. Characteris-ing brines in deep Mesozoic sandstone reservoirs, Denmark. Geological Survey of Denmark and Greenland Bulletin 43, e2019430104, 1–5.", https://doi.org/10.22008/FK2/IGTVXI, GEUS Dataverse, V1
Water chemistry data input to PCA model.
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