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Multiscale Characterisation of Fracture Patterns of a Crystalline Reservoir Analogue

Bossennec, Claire ; Frey, Matthis ; Seib, Lukas ; Bär, Kristian ; Sass, Ingo (2022)
Multiscale Characterisation of Fracture Patterns of a Crystalline Reservoir Analogue.
In: Geosciences, 2022, 11 (9)
doi: 10.26083/tuprints-00019982
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Multiscale Characterisation of Fracture Patterns of a Crystalline Reservoir Analogue
Language: English
Date: 2 May 2022
Place of Publication: Darmstadt
Year of primary publication: 2022
Publisher: MDPI
Journal or Publication Title: Geosciences
Volume of the journal: 11
Issue Number: 9
Collation: 23 Seiten
DOI: 10.26083/tuprints-00019982
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

For an accurate multiscale 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. Combining regional digital elevation model analysis and local outcrop investigation, the study comprises the characterisation of the fracture pattern of a crystalline reservoir analogue in the Northern Odenwald, with LiDAR and GIS structural interpretation. This approach provides insights into the 3D architecture of the fault and fracture network, its clustering, and its connectivity. Mapped discontinuities show a homogeneous length distribution, which follows a power law with a −2.03 scaling factor. The connectivity of the fracture network is heterogenous, due to a fault control at the hectometric scale. Clustering is marked by long sub-vertical fractures at the outcrop scale, and strongly enhance heterogeneity around weathered fracture and fault corridors. The multi-variable dataset created within this study can be used as input data for accurate discrete fracture networks and fluid-flow modelling of reservoirs of similar type.

Uncontrolled Keywords: fracture network characterisation, fault systems, LiDAR, granodioritic basement, crystalline reservoir, northern Odenwald, GeoLaB
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-199829
Classification DDC: 500 Science and mathematics > 550 Earth sciences and geology
Divisions: 11 Department of Materials and Earth Sciences > Earth Science > Geothermal Science and Technology
Exzellenzinitiative > Graduate Schools > Graduate School of Energy Science and Engineering (ESE)
Date Deposited: 02 May 2022 11:53
Last Modified: 14 Nov 2023 19:04
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19982
PPN: 499851196
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