Identification

Data Identification:
citation:
Citation:
Title:
High-resolution X-ray micro-tomography and nano-tomography datasets of Estaillades Limestone
Date:
CI_Date:
Date Type:
creation
date:
2018-01
Identifier:
RS_Identifier:
code:
http://data.bgs.ac.uk/id/dataHolding/13607368
Abstract:
The datasets contain 5 stitched X-ray micro-tomographic images (grey-scale, doped, difference, segmented porespace and segmented micro-porespace with porespace) and 3 X-ray nano-tomographic images of a region of microporous porespace in Estaillades Limestone. The x-ray tomographic images were acquired at a voxel-resolution of 3.9676 µm using a Zeiss Versa XRM-510 flat-panel detector at 70 kV, 6W, and 85 µA with an exposure time of 0.037s and 64 frames. The X-ray nano-tomographic images were reconstructed using a proprietary filtered back projection algorithm from a set of 1601 projections, collected with the Zeiss Ultra 810 with 32nm voxel size using a 5.4keV energy quasi-monochromatic beam with an exposure time of 90s. The data was collected at Imperial College London and Zeiss Labs with the aim of investigating pore-scale microporosity in carbonates with a heterogenous pore structure. Understanding the effect of microporosity on flow is important in many natural and industrial processes such as contaminant transport, and geo-sequestration of supercritical CO2 to address global warming. These tomographic images can be used for validating various pore-scale flow models such as direct simulations, pore-network and neural network models for upscaling flow across scales.
Point of Contact:
Responsible Party:
Individual Name:
qccsrc@imperial.ac.uk
Organisation Name:
Qatar Carbonates and Carbon Storage Research Centre
Contact Info:
CI_Contact:
Address:
Address:
country:
United Kingdom
e-mail:
not available
role:
author
Responsible Party:
Individual Name:
qccsrc@imperial.ac.uk
Organisation Name:
Qatar Carbonates and Carbon Storage Research Centre
Contact Info:
CI_Contact:
Address:
Address:
country:
United Kingdom
e-mail:
not available
role:
pointOfContact
Responsible Party:
Individual Name:
Hannah Menke
Organisation Name:
Imperial College London
Contact Info:
CI_Contact:
Address:
Address:
city:
London
country:
United Kingdom
e-mail:
not available
role:
pointOfContact
Resource Maintenance:
MD_MaintenanceInformation:
maint. / update frequency:
notApplicable
Graphic overview:
Browse Graphic:
File Name:
https://resources.bgs.ac.uk/images/geonetworkThumbs/73f39220-bf83-58d6-e054-002128a47908.png
Descriptive Keywords:
Keywords:
keyword:
http://www.eionet.europa.eu/gemet/concept?cp=13&langcode=en&ns=5
keyword:
Geology
Thesaurus Name:
Citation:
Title:
GEMET - INSPIRE themes, version 1.0
Date:
CI_Date:
date:
2008-06-01
Date Type:
publication
Keywords:
keyword:
Carbonate rocks
keyword:
Carbon capture and storage
keyword:
X ray analysis
keyword:
Pore space
keyword:
Tomography
keyword:
NGDC Deposited Data
keyword:
UKCCS
Thesaurus Name:
Citation:
Title:
BGS Thesaurus of Geosciences
Date:
CI_Date:
date:
2022
Date Type:
revision
Keywords:
keyword:
NGDC Deposited Data
keyword:
http://www.bgs.ac.uk/services/ngdc/esaa/search.html
keyword:
UKCCS
keyword:
https://ukccs-research.org/
Type:
dataCentre
Keywords:
keyword:
NERC_DDC
Resource Constraints:
MD_LegalConstraints:
Access Constraints:
otherRestrictions
Other Constraints:
licenceOGL
Other Constraints:
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Other Constraints:
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
MD_LegalConstraints:
Use Constraints:
otherRestrictions
Other Constraints:
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.
Other Constraints:
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
language:
eng
topicCategory:
geoscientificInformation
Extent:
Extent:
Temporal Element:
TemporalExtent:
extent:
begin / end:
begin:
2018-01-01
end:
2018-07-01

Distribution

Distribution:
Distribution Format:
Format:
Format Name:
.raw
Format:
Format Name:
.am
Format:
Format Name:
.tiff
Transfer Options:
Digital Transfer Options:
onLine:
CI_OnlineResource:
linkage:
http://www.bgs.ac.uk/ukccs/accessions/index.html#item112949
function:
download
Digital Transfer Options:
onLine:
CI_OnlineResource:
linkage:
http://dx.doi.org/10.5285/0543fe60-8e38-49ba-a8ec-a727e8babd25
name:
Digital Object Identifier (DOI)
function:
download

Data Quality

Data Quality:
Scope:
DQ_Scope:
level:
nonGeographicDataset
Level Description:
MD_ScopeDescription:
other:
non geographic dataset
Report:
Domain Consistency:
Result:
Conformance Result:
specification:
Citation:
Title:
INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology
Date:
CI_Date:
Date Type:
publication
date:
2011
explanation:
See the referenced specification
pass:
0
Domain Consistency:
Result:
Conformance Result:
specification:
Citation:
Title:
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
Date:
CI_Date:
Date Type:
publication
date:
2010-12-08
explanation:
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
pass:
0
Lineage:
LI_Lineage:
statement:
First a 10mm diameter mechanically drilled sample of (air saturated) Estaillades was scanned low (10 µm) resolution. Fiducial marks made of aluminium tape were placed on the surface of the sample to enable alignment between the laser micro-machining stage and the sample. The low resolution image was then segmented into microporosity, macroporosity and solid mineral grains. This micro porosity was then inspected to identify the location within the Nano-CT corresponding to location within the fine pillar of the region of 40% porosity. This region was then scanned with a 32nm voxel size within the fine pillar. The resulting reconstructed image was first denoised using an edge preserving non-local means filter, then segmented using ZEISS Zen Intellesis machine learning based segmentation. The resulting porosity observed within the image (41%) matched well with the inferred porosity of the 30 µm x 30 µm x 30 µm region initially identified from the macroscopic 10µm voxel size image of the 10mm diameter core. Micro-tomographic Images: The x-ray tomographic images were acquired at a voxel-resolution of 3.9676 µm using a Zeiss Versa XRM-510 flat-panel detector at 70 kV, 6W, and 85 µA with an exposure time of 0.037s and 64 frames. A new 5mm diameter, 24mm long core of Estaillades was then drilled from the same 1 m3 block of limestone as the nano scale study. The core was then imaged dry. The core was confined using DI water at 10 bar and two pumps were used to drive highly doped brine of 20% wt KI through the core with a constant back pressure of 2 bar and scanned after 100 pore volumes. The core was then washed and then three differential pressure measurements were taken during flow. The details of the sample preparation and fluid injection strategy can be found in Menke et al. (2018). The images were acquired in .txrm format. These were then reconstructed using the Zeiss reconstructor software and processed using ImageJ, Avizo, ORS, and Zeiss Intellesis software and converted to .tiff formats. The greyscale images are in 16 bit unsigned .tiff, and binary (segmented) images are in 8 bit unsinged .tiff format.

Metadata

File Identifier:
73f39220-bf83-58d6-e054-002128a47908
language:
eng
Resource type:
nonGeographicDataset
Hierarchy Level Name:
non geographic dataset
Metadata Contact:
Responsible Party:
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
phone:
CI_Telephone:
voice:
+44 131 667 1000
Address:
Address:
Delivery Point:
The Lyell Centre, Research Avenue South
city:
EDINBURGH
administrative Area:
LOTHIAN
Postal Code:
EH14 4AP
country:
United Kingdom
e-mail:
enquiries@bgs.ac.uk
role:
pointOfContact
Date Stamp:
2024-04-17
Metadata Standard Name:
http://vocab.nerc.ac.uk/collection/M25/current/GEMINI/
Metadata Standard Name:
UK GEMINI
Metadata Standard Version:
2.3
Dataset URI:
http://data.bgs.ac.uk/id/dataHolding/13607368