X-ray micro-tomography dataset of Ketton carbonate

Dataset title X-ray micro-tomography dataset of Ketton carbonate
Dataset creators Dr Saurabh M Shah, Imperial College London
Dataset theme Geoscientific Information
Dataset abstract

The images in this dataset are a sample of Ketton carbonate from a micro–computed tomography (micro–CT) scan acquired with a voxel resolution of 4.52 µm. This dataset is part of a study on the effects of Voxel Resolution in a study of flow in porous media. A brief overview of this study summarised from Shah et al 2015 follows. A fundamental understanding of flow in porous media at the pore–scale is necessary to be able to upscale average displacement processes from core to reservoir scale. The study of fluid flow in porous media at the pore–scale consists of two key procedures: Imaging reconstruction of three–dimensional (3D) pore space images; and modelling such as with single and two–phase flow simulations with Lattice–Boltzmann (LB) or Pore–Network (PN) Modelling. Here we analyse pore–scale results to predict petrophysical properties such as porosity, single phase permeability and multi–phase properties at different length scales. The fundamental issue is to understand the image resolution dependency of transport properties, in order to up–scale the flow physics from pore to core scale.

Shah, S M, Gray, F, Crawshaw, J P, and Boek, E S. 2015. Micro–Computed Tomography pore–scale study of flow in porous media: Effect of Voxel Resolution. Advances in Water Resources July 2015 doi:10.1016/j.advwatres.2015.07.012

Dataset content dates 28/03/2013 - 07/09/2017
Dataset spatial coverage Not Applicable
Dataset supply format raw
Dataset language English-United Kingdom
Dataset discovery metadata record Yet to be published
Dataset publisher British Geological Survey
Dataset publication date 18th September 2019
Dataset digital object identifier(DOI) 10.5285/b0336504-9d7c-4c1f-868c-d212edf42dc9
Dataset citation text Shah, S M. (2019): X–ray micro–tomography dataset of Ketton carbonate. British Geological Survey. (Dataset).
Constraints and terms of use This data set is delivered under the terms of the Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Imperial College London gratefully acknowledge permission to publish and funding from the Qatar Carbonates and Carbon Storage Research Centre (QCCSRC), provided jointly by Qatar Petroleum, Shell, and Qatar Science & Technology Park. Qatar Petroleum remain copyright owner."
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