Digital Models of Heterogeneous Sandstone and Carbonate Rock Cores
Dataset title | Digital Models of Heterogeneous Sandstone and Carbonate Rock Cores |
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Dataset creators | Nele Wenck, Imperial College London |
Dataset theme | Geoscientific Information |
Dataset abstract | 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. |
Dataset content dates | 1st March 2020 - 30th August 2020 |
Dataset spatial coverage | Not Applicable |
Dataset supply format | .dat files (CMG files) |
Dataset language | English-United Kingdom |
Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
Dataset publisher | NERC EDS National Geoscience Data Centre |
Dataset publication date | 8th May 2021 |
Dataset digital object identifier(DOI) | 10.5285/b5811883-225f-4bad-962a-8ba43baf9a74 |
Dataset citation text | Wenck, N. (2021): Digital Models of Heterogeneous Sandstone and Carbonate Rock Cores . NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/b5811883-225f-4bad-962a-8ba43baf9a74 |
Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item165405 |