FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns. (February 2017)
- Record Type:
- Journal Article
- Title:
- FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns. (February 2017)
- Main Title:
- FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns
- Authors:
- Healy, David
Rizzo, Roberto E.
Cornwell, David G.
Farrell, Natalie J.C.
Watkins, Hannah
Timms, Nick E.
Gomez-Rivas, Enrique
Smith, Michael - Abstract:
- Abstract: The patterns of fractures in deformed rocks are rarely uniform or random. Fracture orientations, sizes, and spatial distributions often exhibit some kind of order. In detail, relationships may exist among the different fracture attributes, e.g. small fractures dominated by one orientation, larger fractures by another. These relationships are important because the mechanical (e.g. strength, anisotropy) and transport (e.g. fluids, heat) properties of rock depend on these fracture attributes and patterns. This paper describes FracPaQ, a new open source, cross-platform toolbox to quantify fracture patterns, including distributions in fracture attributes and their spatial variation. Software has been developed to quantify fracture patterns from 2-D digital images, such as thin section micrographs, geological maps, outcrop or aerial photographs or satellite images. The toolbox comprises a suite of MATLAB™ scripts based on previously published quantitative methods for the analysis of fracture attributes: orientations, lengths, intensity, density and connectivity. An estimate of permeability in 2-D is made using a parallel plate model. The software provides an objective and consistent methodology for quantifying fracture patterns and their variations in 2-D across a wide range of length scales, rock types and tectonic settings. The implemented methods presented are inherently scale independent, and a key task where applicable is analysing and integrating quantitativeAbstract: The patterns of fractures in deformed rocks are rarely uniform or random. Fracture orientations, sizes, and spatial distributions often exhibit some kind of order. In detail, relationships may exist among the different fracture attributes, e.g. small fractures dominated by one orientation, larger fractures by another. These relationships are important because the mechanical (e.g. strength, anisotropy) and transport (e.g. fluids, heat) properties of rock depend on these fracture attributes and patterns. This paper describes FracPaQ, a new open source, cross-platform toolbox to quantify fracture patterns, including distributions in fracture attributes and their spatial variation. Software has been developed to quantify fracture patterns from 2-D digital images, such as thin section micrographs, geological maps, outcrop or aerial photographs or satellite images. The toolbox comprises a suite of MATLAB™ scripts based on previously published quantitative methods for the analysis of fracture attributes: orientations, lengths, intensity, density and connectivity. An estimate of permeability in 2-D is made using a parallel plate model. The software provides an objective and consistent methodology for quantifying fracture patterns and their variations in 2-D across a wide range of length scales, rock types and tectonic settings. The implemented methods presented are inherently scale independent, and a key task where applicable is analysing and integrating quantitative fracture pattern data from micro-to macro-scales. The toolbox was developed in MATLAB™ and the source code is publicly available on GitHub™ and the Mathworks™ FileExchange. The code runs on any computer with MATLAB installed, including PCs with Microsoft Windows, Apple Macs with Mac OS X, and machines running different flavours of Linux. The application, source code and sample input files are available in open repositories in the hope that other developers and researchers will optimise and extend the functionality for the benefit of the wider community. Highlights: FracPaQ is a novel MATLAB toolbox for the quantification of fracture patterns. Lengths and orientations are derived from the geometry of the input fracture traces. Connectivity, intensity and density are also quantified using published methods. FracPaQ also estimates the 2D permeability tensor for the fracture pattern. FracPaQ is open source and we hope to build a community of researchers and developers. … (more)
- Is Part Of:
- Journal of structural geology. Volume 95(2017:Feb.)
- Journal:
- Journal of structural geology
- Issue:
- Volume 95(2017:Feb.)
- Issue Display:
- Volume 95 (2017)
- Year:
- 2017
- Volume:
- 95
- Issue Sort Value:
- 2017-0095-0000-0000
- Page Start:
- 1
- Page End:
- 16
- Publication Date:
- 2017-02
- Subjects:
- Fracture -- Pattern -- Attribute -- Scaling -- Permeability -- Software
Geology, Structural -- Periodicals
Géomorphologie structurale -- Périodiques
Geology, Structural
Periodicals
551.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01918141 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jsg.2016.12.003 ↗
- Languages:
- English
- ISSNs:
- 0191-8141
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5066.878000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1842.xml