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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. (Publisher's Version)
In: Geosciences, 11 (9), MDPI, e-ISSN 2076-3263,
DOI: 10.26083/tuprints-00019982,
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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Multiscale Characterisation of Fracture Patterns of a Crystalline Reservoir Analogue
Language: English
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.

Journal or Publication Title: Geosciences
Journal volume: 11
Issue Number: 9
Publisher: MDPI
Collation: 23 Seiten
Uncontrolled Keywords: fracture network characterisation, fault systems, LiDAR, granodioritic basement, crystalline reservoir, northern Odenwald, GeoLaB
Classification DDC: 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
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: 02 May 2022 11:53
DOI: 10.26083/tuprints-00019982
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-199829
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19982
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