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dc.contributor.authorBossennec, Claire
dc.contributor.authorFrey, Matthis
dc.contributor.authorSeib, Lukas
dc.contributor.authorBär, Kristian
dc.contributor.authorSass, Ingo
dc.date.accessioned2021-09-01T09:23:11Z
dc.date.available2021-06-19T06:05:26Z
dc.date.available2021-09-01T09:23:11Z
dc.date.issued2021
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2839.2
dc.identifier.urihttps://doi.org/10.48328/tudatalib-571.2
dc.descriptionFor an accurate multi-scale property modelling of fractured crystalline geothermal reservoirs, an enhanced characterisation of the geometrical features and variability of the fracture network properties is an essential prerequisite. By the combination of regional digital elevation model analysis and local outcrop investigation, detailed insight into the 3D architecture of faults and fracture networks allows the quantification of structural parameters (fracture dimension, orientation, clustering and spacing). The structural dataset presented here contains the regional DEM interpretation at two resolutions (25 m and 1 m) of the Northern Odenwald and the LiDAR and GIS structural interpretation of 5 profiles acquired in the Mainzer Berg quarry between Darmstadt and Dieburg. This quarry exhibits the fracture network affecting a granodioritic pluton. Fracture length, orientation, dip, and fracture density and intensity are calculated for each profile. On GIS 2D datasets extracted from top and side views of the profiles, a clustering and spacing analysis between digitised items is performed and compared to the orientation of artificial scanlines. Power-law parametrisation is extracted from the length distribution of 2D and 3D datasets, with a, b coefficients. This multi-scale parametrisation of the fracture network can be used to construct near-surface discrete fracture network models. The dataset is a supplement to another publication (Bossennec al. 2021) that presents the structural organisation of crystalline rocks from the analogue of Mainzer Berg in the Northern Odenwald.en_US
dc.language.isoenen_US
dc.relationIsCitedBy;DOI;https://doi.org/10.3390/1308008
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLiDARen_US
dc.subjectDEMen_US
dc.subjectFracture Network Characterizationen_US
dc.subjectGISen_US
dc.subject.classification315-01 Physik des Erdkörpersen_US
dc.subject.classification315-02 Geodäsie, Photogrammetrie, Fernerkundung, Geoinformatik, Kartographieen_US
dc.subject.classification316-01 Mineralogie, Petrologie und Geochemieen_US
dc.subject.ddc550
dc.subject.ddc520
dc.titleMulti-scale structural dataset of a crystalline reservoir analogue (Northern Odenwald)en_US
dc.typeDataseten_US
dc.typeModelen_US
dc.description.versionV1.1en_US
tud.unitTUDa


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  • Geological Models  [9]
    Collection of Geological, Structural, Geothermal or Numerical 3D Models

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Creative Commons Attribution 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0
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