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      <creatorName nameType="Personal">Tekseth, Kim Robert</creatorName>
      <givenName>Kim Robert</givenName>
      <familyName>Tekseth</familyName>
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      <affiliation>NTNU – Norwegian University of Science and Technology</affiliation>
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    <creator>
      <creatorName nameType="Personal">Breiby, Dag Werner</creatorName>
      <givenName>Dag Werner</givenName>
      <familyName>Breiby</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6432-4344</nameIdentifier>
      <affiliation>NTNU – Norwegian University of Science and Technology</affiliation>
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  <titles>
    <title>Replication Data for: 4D imaging of two-phase flow in porous media using laboratory-based micro-Computed Tomography</title>
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  <publisher>DataverseNO</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Physics</subject>
    <subject>Flow in porous media</subject>
    <subject>Computed Tomography</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Producer">
      <contributorName nameType="Organizational">NTNU – Norwegian University of Science and Technology</contributorName>
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      <contributorName nameType="Personal">Tekseth, Kim Robert</contributorName>
      <givenName>Kim Robert</givenName>
      <familyName>Tekseth</familyName>
      <affiliation>NTNU – Norwegian University of Science and Technology</affiliation>
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      <contributorName nameType="Personal">Tekseth, Kim Robert</contributorName>
      <givenName>Kim Robert</givenName>
      <familyName>Tekseth</familyName>
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      <givenName>Kim Robert</givenName>
      <familyName>Tekseth</familyName>
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    <contributor contributorType="Supervisor">
      <contributorName nameType="Personal">Breiby, Dag Werner</contributorName>
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  <dates>
    <date dateType="Submitted">2023-11-05</date>
    <date dateType="Available">2024-02-27</date>
    <date dateType="Updated">2024-04-07</date>
    <date dateType="Collected">2021-12-07/2022-02-11</date>
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    <description descriptionType="Abstract">&amp;lt;p&amp;gt;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:&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;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.&amp;lt;/p&amp;gt;</description>
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      <geoLocationPlace>Norway, Trondheim,</geoLocationPlace>
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      <funderName>The Research Council of Norway</funderName>
      <awardNumber>#275182</awardNumber>
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    <fundingReference>
      <funderName>The Research Council of Norway</funderName>
      <awardNumber>#272248</awardNumber>
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