Qatar Carbonates and Carbon Storage Research Centre: Doddington Sandstone Computed Tomography Rock Scan – 6.4µm – 161213

Dataset title Qatar Carbonates and Carbon Storage Research Centre: Doddington Sandstone Computed Tomography Rock Scan – 6.4µm – 161213
Dataset creators Qatar Carbonates and Carbon Storage Research Centre
Dataset theme Geoscientific Information
Dataset abstract

The images in this dataset are a sample of Doddington Sandstone from a micro–computed tomography (micro–CT) scan acquired with a voxel resolution of 6.4µm. 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. In this work, we use a high resolution micro–computed tomography (micro–CT) scanner to image and reconstruct three dimensional pore–scale images of five sandstones and five complex carbonates at four different voxel resolutions (4.4µm, 6.2µm, 8.3µm and 10.2µm, scanning the same physical field of view. 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 We 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.

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 We 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.

Dataset content dates 2013
Dataset spatial coverage Non geographic
Dataset supply format TXRM, TXM, TIFF
Dataset language English–United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record.
Dataset publisher British Geological Survey
Dataset publication date 2016
Dataset digital object identifer (DOI) 10.5285/7d81fb72-4f0c-4221-a217-433fd88f0422
Dataset citation text Shah S M. 2015. Doddington Sandstone 6.40µm (16/12/13)
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: "Contains data supplied by permission of the Qatar Carbonates and Carbon Storage Research Centre (QCCSRC), provided jointly by Qatar Petroleum, Shell, and Qatar Science & Technology Park. Qatar Petroleum remain copyright owners.”
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Further information 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