The University of Southampton
University of Southampton Institutional Repository

Spatial and layer-controlled variability in fracture networks

Spatial and layer-controlled variability in fracture networks
Spatial and layer-controlled variability in fracture networks
Topological sampling, based on 1) node counting and 2) circular sampling areas, is used to measure fracture intensity in surface exposures of a layered limestone/shale sequence in north Somerset, UK. This method provides similar levels of precision as more traditional line samples, but is about 10 times quicker and allows characterization of the network topology. Georeferencing of photographs of the sample sites allows later analysis of trace lengths and orientations, and identification of joint set development.

ANOVA tests support a complex interaction of within-layer, between-layer and between-location variability in fracture intensity, with the different layers showing anomalous intensity at different locations. This variation is not simply due to bed thickness, nor can it be related to any obvious compositional or textural variation between the limestone beds. These results are used to assess approaches to the spatial mapping of fracture intensity.
0191-8141
52-65
Procter, Andrew
ca176638-819c-4930-b1da-067c85535fab
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9
Procter, Andrew
ca176638-819c-4930-b1da-067c85535fab
Sanderson, David J.
5653bc11-b905-4985-8c16-c655b2170ba9

Procter, Andrew and Sanderson, David J. (2018) Spatial and layer-controlled variability in fracture networks. Journal of Structural Geology, 108, 52-65. (doi:10.1016/j.jsg.2017.07.008).

Record type: Article

Abstract

Topological sampling, based on 1) node counting and 2) circular sampling areas, is used to measure fracture intensity in surface exposures of a layered limestone/shale sequence in north Somerset, UK. This method provides similar levels of precision as more traditional line samples, but is about 10 times quicker and allows characterization of the network topology. Georeferencing of photographs of the sample sites allows later analysis of trace lengths and orientations, and identification of joint set development.

ANOVA tests support a complex interaction of within-layer, between-layer and between-location variability in fracture intensity, with the different layers showing anomalous intensity at different locations. This variation is not simply due to bed thickness, nor can it be related to any obvious compositional or textural variation between the limestone beds. These results are used to assess approaches to the spatial mapping of fracture intensity.

Text
Procter_Sanderson_2017_JSG_final - Accepted Manuscript
Download (2MB)
Text
Procter_Sanderson_2017_JSG_final Accepted Manuscript
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 17 July 2017
e-pub ahead of print date: 19 July 2017
Published date: March 2018

Identifiers

Local EPrints ID: 413830
URI: http://eprints.soton.ac.uk/id/eprint/413830
ISSN: 0191-8141
PURE UUID: 98e36fe8-82b0-4cbc-ab9f-64602d7741de
ORCID for David J. Sanderson: ORCID iD orcid.org/0000-0002-2144-3527

Catalogue record

Date deposited: 07 Sep 2017 16:31
Last modified: 16 Mar 2024 05:42

Export record

Altmetrics

Contributors

Author: Andrew Procter

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×