TUdatalib Upgrade

Am 2. Juni erfolgte ein TUdatalib Upgrade auf eine neue Softwareversion. Dieses Upgrade bringt wichtige Neuerungen mit sich. Eine Übersicht finden Sie in der Dokumentation
On June 2nd, TUdatalib was upgraded to a new software version. This upgrade introduced major changes to the system. Please see our documentation for an overview.

 
Open Access

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

Thumbnail Image

Files

Bossennec et al2021_tu_datalib_ext_abs_structural dataser_20210619.pdf (Extended abstract describing the content of the datafile and relations to an associated publication) (120.23 KB)
 Bossennec et al2021_Structural_Dataset_MainzerBerg_2021_V1-1.xlsx (Detailed dataset as described in extended abstract) (1.12 MB)

Date

2021-09-01

Type

Dataset
Model

Authors

Bossennec, ClaireORCID 0000-0003-3227-4869
Frey, MatthisORCID 0000-0003-2284-4215
Seib, Lukas
Bär, Kristian
Sass, IngoORCID 0000-0002-7008-2385

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

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.

Keywords

LiDAR, DEM, Fracture Network Characterization, GIS

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2839.2
 https://doi.org/10.48328/tudatalib-571.2

Endorsement

Related Resources

Is Cited By
https://doi.org/10.3390/1308008

DFG Classification

3.43-01 Physik des Erdkörpers
3.43-02 Geodäsie, Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie
3.44-01 Mineralogie, Petrologie und Geochemie

Project(s)

Faculty

Collections

License

CC BY 4.0 - Attribution 4.0 International
Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International

Version History

Now showing 1 - 2 of 2
VersionDateSummary
2*
 2021-09-01 11:14:02
The dataset was updated after the revision of the original scientific publication it is associated to.
1
 2021-06-19 08:05:26
The dataset has been updated in course of the revision of the original scientific manuscript.
* Selected version