An introduction for non-experts on using X-ray micro computed tomography as a tool for pore scale digital subsurface characterisation of siliciclastic materials

Payton, Ryan L. ORCID: https://orcid.org/0000-0001-5724-0695; Domenico Chiarella, Domenico ORCID: https://orcid.org/0000-0003-2482-0081; Kingdon, Andrew ORCID: https://orcid.org/0000-0003-4979-588X. 2024 An introduction for non-experts on using X-ray micro computed tomography as a tool for pore scale digital subsurface characterisation of siliciclastic materials. Sedimentologika, 2 (2). https://doi.org/10.57035/journals/sdk.2024.e22.1367

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Abstract/Summary

This paper presents an overview of using X-ray micro computed tomography (μCT) as a valuable tool for micro scale investigation of siliciclastic materials. When processed using digital image analysis (DIA), valuable quantitative data can be extracted from μCT 3D images. Subsurface reservoirs are of great importance to society as fluid-bearing formations, but also as storage reservoirs for carbon dioxide. μCT imaging has the capability to perform preliminary, highly detailed investigations of potential reservoirs. This approach has a range of benefits when compared to traditional 2D techniques, such as optical and scanning electron microscopy (SEM). Key advantages include the technique being non-destructive and capable of 3D and 4D visualisation. This facilitates rapid repeated digital measurements and experiments on microstructures. Digital samples can also be readily shared within the scientific community to replicate results and quickly launch new investigations. However, limitations still exist, posing challenges to the wider application of such a methodology. Such limitations include the identification of a representative elementary volume (REV), computational cost, and suitable processing of the output image data. Here, we highlight the value of using μCT and DIA, from our first experiences, to facilitate pore scale siliciclastic reservoir characterisation, but also highlight our perceived limitations and barriers to its much wider application. This paper introduces the key processing stages, opportunities and limitations of these techniques.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.57035/journals/sdk.2024.e22.1367
ISSN:	2813-415X
NORA Subject Terms:	Earth Sciences
Date made live:	19 Nov 2024 13:44 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/538394

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