The sensitivity of estimates of multiphase fluid and solid properties of porous rocks to image processing

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1007/s11242-019-01374-z.

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Authors

Gaetano Garfi , Cédric M. John, Steffen Berg , Sam Krevor 

Abstract

X-ray microcomputed tomography X-ray microCT) is a rapidly advancing technology that has been successfully employed to study flow phenomena in porous media. It offers an alternative approach to core scale experiments for the estimation of traditional petrophysical properties such as porosity and single-phase flow permeability. It can also be used to investigate properties that control multiphase flow such as rock wettability or mineral topology. In most applications, analysis are performed on segmented images obtained employing a specific processing pipeline on the greyscale images. The workflow leading to a segmented image is not straightforward or unique and, for most of the properties of interest, a ground truth is not available. For this reason, it is crucial to understand how image processing choices control properties estimation. In this work, we assess the sensitivity of porosity, permeability, specific surface area, in situ contact angle measurements, fluid-fluid interfacial curvature measurements and mineral composition to processing choices. We compare the results obtained upon the employment of two processing pipelines: non-local means filtering followed by watershed segmentation; segmentation by a manually trained random forest classifier. Single-phase flow permeability, in situ contact angle measurements and mineral-to-pore total surface area are the most sensitive properties, as a result of the sensitivity to processing of the phase boundary identification task. Porosity, interfacial fluid-fluid curvature and specific mineral descriptors are robust to processing. The sensitivity of the property estimates increases with the complexity of its definition and its relationship to boundary shape.

DOI

https://doi.org/10.31223/osf.io/a23c7

Subjects

Chemical Engineering, Civil and Environmental Engineering, Earth Sciences, Engineering, Hydrology, Petroleum Engineering, Physical Sciences and Mathematics, Transport Phenomena

Keywords

Image processing, contact angle, mineralogy, fluid-fluid curvature, X-ray imaging

Dates

Published: 2019-10-10 17:55

Last Updated: 2020-02-20 17:10

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License

Academic Free License (AFL) 3.0

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