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Multi-scale structural dataset of a crystalline reservoir analogue (Northern Odenwald)

datacite.relation.isCitedBy https://doi.org/10.3390/1308008
dc.contributor.author Bossennec, Claire
dc.contributor.author Frey, Matthis
dc.contributor.author Seib, Lukas
dc.contributor.author Bär, Kristian
dc.contributor.author Sass, Ingo
dc.date.accessioned 2021-09-01T09:23:11Z
dc.date.available 2021-06-19T06:05:26Z
dc.date.available 2021-09-01T09:23:11Z
dc.date.created 2021
dc.date.issued 2021-09-01
dc.description For 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.description.version V1.1 en_US
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2839.2
dc.identifier.uri https://doi.org/10.48328/tudatalib-571.2
dc.language.iso en en_US
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject LiDAR en_US
dc.subject DEM en_US
dc.subject Fracture Network Characterization en_US
dc.subject GIS en_US
dc.subject.classification 3.43-01
dc.subject.classification 3.43-02
dc.subject.classification 3.44-01
dc.subject.ddc 550
dc.subject.ddc 520
dc.title Multi-scale structural dataset of a crystalline reservoir analogue (Northern Odenwald) en_US
dc.type Dataset en_US
dc.type Model en_US
dcterms.accessRights openAccess
person.identifier.orcid 0000-0003-3227-4869
person.identifier.orcid 0000-0003-2284-4215
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0002-7008-2385
tuda.history.classification Version=2020-2024;315-01 Physik des Erdkörpers
tuda.history.classification Version=2020-2024;315-02 Geodäsie, Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie
tuda.history.classification Version=2020-2024;316-01 Mineralogie, Petrologie und Geochemie
tuda.unit TUDa

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Bossennec et al2021_tu_datalib_ext_abs_structural dataser_20210619.pdfExtended abstract describing the content of the datafile and relations to an associated publication120.23 KBAdobe Portable Document Format Download
Bossennec et al2021_Structural_Dataset_MainzerBerg_2021_V1-1.xlsxDetailed dataset as described in extended abstract1.12 MBMicrosoft Excel XML Download

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Version History

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VersionDateSummary
2*
2021-09-01 11:14:02
The dataset was updated after the revision of the original scientific publication it is associated to.
2021-06-19 08:05:26
The dataset has been updated in course of the revision of the original scientific manuscript.
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