Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography

DOI

Dataset for 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography. It provides the raw computed tomography scans of two-phase fluid flow in two porous media, a Bentheimer sample and a glass beadpack sample. The abstract of the manuscript follows:

Dynamic three-dimensional computed tomography (CT) imaging of liquid transport in porous media has primarily been conducted at high brilliance synchrotrons thus allowing fast, sometimes sub-second, temporal resolution to be obtained. University laboratory CT instruments lack the photon flux available at synchrotrons, limiting the obtainable spatiotemporal resolution. Here, we discuss our experiences with instrumentation and software methods to conduct time-resolved micro-computed tomography (4D-CT) experiments of flow in porous media, based on a conventional CT instrument operated with a highly undersampled number of projections. An experimental stage outfitted with syringe pumps placed on a slip ring allowed two-phase flow experiments to be carried out with continuous unidirectional rotation and without obstruction of the liquid supply lines. An iterative reconstruction algorithm based on a priori information was used to provide high image quality and ~30 s time resolution despite the few and low-exposed projections compared to standard protocols. The experimental technique was demonstrated with imbibition and drainage in glass bead-pack and Bentheimer sandstone samples with sub-minute temporal resolution, allowing the liquid configurations just before and after fast dynamic phenomena such as cooperative pore-filling events and Haines jumps to be captured. Power law scaling exponents for burst volumes associated with imbibition and drainage were estimated and compared with the literature. That 4D-CT experiments can be carried out using conventional CT instruments to challenge contemporary permeability models is of high importance for many geo-, bio- and environmental physics challenges.

Identifier
DOI https://doi.org/10.18710/5EOSVJ
Related Identifier https://doi.org/10.1029/2023WR036514
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/5EOSVJ
Provenance
Creator Tekseth, Kim Robert ORCID logo; Breiby, Dag Werner ORCID logo
Publisher DataverseNO
Contributor Tekseth, Kim Robert; NTNU – Norwegian University of Science and Technology; Breiby, Dag Werner
Publication Year 2024
Funding Reference The Research Council of Norway #275182 ; The Research Council of Norway #272248
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Tekseth, Kim Robert (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Radiographic X-ray projections; Dataset
Format text/plain; application/zip
Size 5235; 2764330299; 2747596705; 2763291733; 2742162175; 2738990347; 2737155909; 2736301451; 2732151912; 2730310587; 2731685072; 2732171439; 2734549987; 2761561350; 2737625165; 2740096037; 2745248082; 2748727757; 2753769043; 2755990950; 2756623871; 2757036186; 2756944638; 2757260432; 2760524420; 2757136124; 2760234243; 2759355869; 2757136629; 2755567869; 2754509673; 2751440375; 2758868906; 14031275236
Version 2.0
Discipline Natural Sciences; Physics