a5892237-d8ae-34b8-e054-002128a47908
English
nonGeographicDataset
non geographic dataset
British Geological Survey
+44 115 936 3100
Environmental Science Centre,Keyworth
NOTTINGHAM
NOTTINGHAMSHIRE
NG12 5GG
United Kingdom
enquiries@bgs.ac.uk
pointOfContact
2024-03-27
UK GEMINI
2.3
http://data.bgs.ac.uk/id/dataHolding/13607619
Mechanical and microstructural analysis of synthetic quartz-cemented sandstones- data (NERC Grant NE/L002469/1)
2020-05-08
creation
http://data.bgs.ac.uk/id/dataHolding/13607619
P* data obtained through hydrostatic loading experiments, using triaxial experimental apparatus, as well as yield curve data obtained through differential loading tests, prior to the discovery of P* for different synthetic sandstones. The methodology used was taken from Bedford et al. (2018, 2019). Grain size analysis data obtained using a Beckman Coulter LS 13 320 laser diffraction particle size analyser. Particle analysis was conducted on five different synthetic sandstones with different grain size distributions. Secondary electron and backscatter electron SEM images for natural and synthetic sandstones. Secondary electron images were stitched together to form a whole core image. They were then binarised following the methodology of Rabbani and Ayatollahi. (2015). Hexagon grid size data used to obtain the correct grid size for performing porosity analysis across an mage using Fiji software (Brown, 2000). Bedford, J. D., Faulkner, D. R., Leclère, H., & Wheeler, J. (2018). High-Resolution Mapping of Yield Curve Shape and Evolution for Porous Rock: The Effect of Inelastic Compaction on 476 Porous Bassanite. Journal of Geophysical Research: Solid Earth, 123(2), 1217–1234. Bedford, J. D., Faulkner, D. R., Wheeler, J., & Leclère, H. (2019). High-resolution mapping of yield curve shape and evolution for high porosity sandstone. Journal of Geophysical Research: Solid Earth. Brown, G. O., Hsieh, H. T., & Lucero, D. A. (2000). Evaluation of laboratory dolomite core sample size using representative elementary volume concepts. Water Resources Research, 36(5), 484 1199–1207. Rabbani, A., & Ayatollahi, S. (2015). Comparing three image processing algorithms to estimate the grain-size distribution of porous rocks from binary 2D images and sensitivity analysis of the grain overlapping degree. Special Topics & Reviews in Porous Media: An International Journal, 6(1).
Professor G Vaughan
University of Manchester
Earth Atmosphere and Env Sciences
Manchester
M13 9PL
not available
principalInvestigator
Elliot Rice-Birchall
University of Liverpool
School of Environmental Sciences
Liverpool
L69 3GP
not available
originator
Elliot Rice-Birchall
University of Liverpool
School of Environmental Sciences
Liverpool
L69 3GP
not available
pointOfContact
notApplicable
https://resources.bgs.ac.uk/images/geonetworkThumbs/a5892237-d8ae-34b8-e054-002128a47908.png
Geology
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
NGDC Deposited Data
Compression tests
Porosity
Quartz
Sandstone
Image analysis
BGS Thesaurus of Geosciences
2022
revision
NGDC Deposited Data
dataCentre
NERC_DDC
otherRestrictions
licenceOGL
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
otherRestrictions
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
English
geoscientificInformation
2019-06-17
2020-05-05
CSV
TIFF
XLSX
TXT
http://www.bgs.ac.uk/services/ngdc/accessions/index.html?#item135165
Data
download
nonGeographicDataset
non geographic dataset
INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology
2011
publication
See the referenced specification
false
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
publication
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
false
P* data obtained through hydrostatic loading experiments, using triaxial experimental apparatus, as well as yield curve data obtained through differential loading tests, prior to the discovery of P* for different synthetic sandstones. Grain size analysis data obtained using a Beckman Coulter LS 13 320 laser diffraction particle size analyser. Particle analysis was conducted on five different synthetic sandstones with different grain size distributions. Secondary electron and backscatter electron SEM images for natural and synthetic sandstones. Secondary electron images were stitched together to form a whole core image. They were then binarised. Hexagon grid size data used to obtain the correct grid size for performing porosity analysis across an mage using Fiji software.