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
Artikel, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Bossennec, Claire ; Frey, Matthis ; Seib, Lukas ; Bär, Kristian ; Sass, Ingo |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Multiscale Characterisation of Fracture Patterns of a Crystalline Reservoir Analogue |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Geosciences |
| Jahrgang/Volume einer Zeitschrift: | 11 |
| (Heft-)Nummer: | 9 |
| Kollation: | 23 Seiten |
| DOI: | 10.26083/tuprints-00019982 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/19982 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | fracture network characterisation, fault systems, LiDAR, granodioritic basement, crystalline reservoir, northern Odenwald, GeoLaB |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-199829 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften |
| Fachbereich(e)/-gebiet(e): | 11 Fachbereich Material- und Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften 11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Angewandte Geothermie Exzellenzinitiative Exzellenzinitiative > Graduiertenschulen Exzellenzinitiative > Graduiertenschulen > Graduate School of Energy Science and Engineering (ESE) |
| Hinterlegungsdatum: | 02 Mai 2022 11:53 |
| Letzte Änderung: | 03 Mai 2022 05:18 |
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