Line sampling of fracture swarms and corridors
Line sampling of fracture swarms and corridors
Scanlines across a range of fracture networks are analysed using cumulative frequency plots, spacing distribution and correlation integral plots. Synthetic samples from known distributions are used to distinguish uniform and random positioning of fractures from various types of clustering and the results used to interpret fracture corridors from the Bergen area, Norway. The Kuiper test provides a means of establishing the statistical significance of clustering, and the correlation integral allows assessment of clustering at different scales. A simple workflow is proposed that uses quantitative measures for the definition and characterisation of the spatial organisation of fractures. The form of fracture networks is shown to vary from uniform or random distributions, through the development of simple corridors, to clustering at various scales.
Clustering, Corridor, Fracture, Scanline, Swarm, Zone
27-37
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9
Peacock, David C.P.
8a5f28bc-d527-4e88-b6f4-b89b716852ec
1 May 2019
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9
Peacock, David C.P.
8a5f28bc-d527-4e88-b6f4-b89b716852ec
Sanderson, David J. and Peacock, David C.P.
(2019)
Line sampling of fracture swarms and corridors.
Journal of Structural Geology, 122, .
(doi:10.1016/j.jsg.2019.02.006).
Abstract
Scanlines across a range of fracture networks are analysed using cumulative frequency plots, spacing distribution and correlation integral plots. Synthetic samples from known distributions are used to distinguish uniform and random positioning of fractures from various types of clustering and the results used to interpret fracture corridors from the Bergen area, Norway. The Kuiper test provides a means of establishing the statistical significance of clustering, and the correlation integral allows assessment of clustering at different scales. A simple workflow is proposed that uses quantitative measures for the definition and characterisation of the spatial organisation of fractures. The form of fracture networks is shown to vary from uniform or random distributions, through the development of simple corridors, to clustering at various scales.
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Accepted/In Press date: 20 February 2019
e-pub ahead of print date: 26 February 2019
Published date: 1 May 2019
Keywords:
Clustering, Corridor, Fracture, Scanline, Swarm, Zone
Identifiers
Local EPrints ID: 431424
URI: http://eprints.soton.ac.uk/id/eprint/431424
ISSN: 0191-8141
PURE UUID: 9410100f-42f6-47ec-b634-324f46dc08df
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Date deposited: 31 May 2019 16:30
Last modified: 18 Mar 2024 03:09
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Author:
David C.P. Peacock
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