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Published August 10, 2022 | Version 1.0
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Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks

  • 1. Institute of Earth Sciences, University of Iceland, Reykjavik, 101, Iceland
  • 2. Faculty of Engineering, Lund University, Lund, 223 63, Sweden
  • 3. Department of Engineering, Reykjavik University, Reykjavik, 101, Iceland
  • 4. Iceland Geosurvey, Reykjavik, 101, Iceland
  • 5. Department of Geosciences, University of Montpellier, Montpellier, 34095, France
  • 6. Iceland School of Energy, Reykjavik University, Reykjavik, 101, Iceland
  • 7. Faculty of Geology, Lomonosov Moscow State University, Moscow, Russia

Description

The Valgarður database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.

Notes

This dataset also includes a zipped archive containing photographs of many of the sample sites. The filenames corresponding to the different sample sites are listed in the worksheet 'Photographs of sample sites' in the Excel workbook and in the csv file photographs_samplesites.csv. SWS and CC received funding from the Technical Development Fund of the Research Center of Iceland (RANNÍS, grant number 175 193-0612 Data Fusion for Geothermal Reservoir Characterization). This project additionally received funding from Landsvirkjun Energy Research Fund (grant number NÝR-23-2019)

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