Digital Models of Heterogeneous Sandstone and Carbonate Rock Cores

This dataset contains digital models of three carbonate (Indiana limestone, Estaillades limestone and Edwards Brown Dolomite) and two sandstone (Bentheimer and Bunter) cores with varying degrees of heterogeneity types and length scales. The models define the spatial distribution of porosity and capillary heterogeneity, and can simulate core floods. To build these models, the workflow by Jackson et al. (2018) was followed. It combines observations from coreflood experiments with a numerical optimisation scheme to characterise the capillary heterogeneity within a rock sample. The data presented here contains the experimental X-ray CT dataset used for the paper "History Matching Core Floods in Heterogeneous Sandstone and Carbonate Rocks" by Wenck et al. (Under Review) along with CMG IMEX modelling files. Funding source: EPSRC iCase studentship with BP

Date (Creation): 2021-05-04

Identifier: http://data.bgs.ac.uk/id/dataHolding/13607753

Originator

Imperial College London - Nele Wenck ( Faculty of Engineering, Department of Earth Science & Engineering )

Exhibition Road, South Kensington , London , SW7 2AZ ,

Distributor

British Geological Survey - Enquiries

Point of contact

British Geological Survey - Enquiries

Maintenance and update frequency: notApplicable notApplicable

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

Carbon capture and storage
UKCCS
NGDC Deposited Data
Models

dataCentre

Keywords

NERC_DDC

Access constraints: otherRestrictions Other restrictions

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]"

Use constraints: otherRestrictions Other restrictions

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]"

Metadata language: EnglishEnglish

Topic category

Geoscientific information

Begin date: 2020-03-01

End date: 2020-08-30

Reference System Information

No information provided.

Distribution format

.dat files (CMG files) ()

Distributor

British Geological Survey - Enquiries

OnLine resource: Data

OnLine resource: Digital Object Identifier (DOI)

Hierarchy level: nonGeographicDataset Non geographic dataset

Other: non geographic dataset

Conformance result

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Date (Publication): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: No

Statement: o This folder contains digital models of three carbonate (Indiana limestone, Estaillades limestone and Edwards Brown Dolomite) and two sandstone (Bentheimer and Bunter) cores with varying degrees of heterogeneity types and length scales. The models define the spatial distribution of porosity and capillary heterogeneity, and can simulate core floods. To build these models, the workflow by Jackson et al. (2018) was followed. It combines observations from coreflood experiments with a numerical optimisation scheme to characterise the capillary heterogeneity within a rock sample.