Buckman, J, Mahoney, C orcid.org/0000-0002-2052-3576, Bankole, S et al. (6 more authors) (2020) Workflow model for the digitization of mudrocks. Geological Society Special Publications, 484. ISSN 0305-8719
Abstract
Mudrocks are highly heterogeneous in a range of physical and chemical properties, including: porosity and permeability, fissility, colour, particle composition, size, orientation, carbon loading, degree of compaction, and diagenetic overprint. It is therefore important that the maximum information be extracted as efficiently and completely as possible. This can be accomplished through high-resolution analysis of polished thin sections by scanning electron microscopy (SEM), with the collection of large-area images and X-ray elemental map montages, and the application of targeted particle analysis. A workflow model, based on these techniques, for the digitization of mudrocks is presented herein. A range of the data that can be collected and the variety of analyses that can be achieved are also illustrated. Data collection is discussed in terms of inherent problems with acquisition, storage, transfer and manipulation, which can be time-consuming and non-trivial. Similar information and resolutions can be achieved through other techniques, such as QEMSCAN and infra-red (IR)/Raman spectroscopic mapping. These can be seen as complementary to the workflow described herein.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Author(s). Published by The Geological Society of London. All rights reserved. This is an author produced version of a paper published in Geological Society Special Publications. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Earth Surface Science Institute (ESSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 May 2018 11:32 |
Last Modified: | 11 Dec 2020 16:33 |
Status: | Published |
Publisher: | Geological Society of London |
Identification Number: | 10.1144/SP484.2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130991 |