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<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="abstract"><?xmltex \bartext{S09: Recent advances in computational methods and process coupling (THMCB)}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">SaND</journal-id><journal-title-group>
    <journal-title>Safety of Nuclear Waste Disposal</journal-title>
    <abbrev-journal-title abbrev-type="publisher">SaND</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Saf. Nucl. Waste Disposal</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2749-4802</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/sand-2-123-2023</article-id><title-group><article-title>Reactive transport modeling for assessing <?xmltex \hack{\break}?> coupled hydrogeochemical processes at <?xmltex \hack{\break}?> interfaces in deep geological repositories: <?xmltex \hack{\break}?> from the laboratory to the real world</article-title><alt-title>Reactive transport modeling for assessing coupled hydrogeochemical processes</alt-title>
      </title-group><?xmltex \runningtitle{Reactive transport modeling for assessing coupled hydrogeochemical processes}?><?xmltex \runningauthor{J.~Poonoosamy et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Poonoosamy</surname><given-names>Jenna</given-names></name>
          <email>j.poonoosamy@fz-juelich.de</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lönartz</surname><given-names>Mara I.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Yang</surname><given-names>Yuankai</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Deissmann</surname><given-names>Guido</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Kosakowski</surname><given-names>Georg</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bosbach</surname><given-names>Dirk</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Energy and Climate Research – Nuclear Waste Management (IEK-6), <?xmltex \hack{\break}?> Forschungszentrum Jülich GmbH, 52428 Jülich, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Laboratory for Waste Management, Paul Scherrer Institut, 5232 Villigen, Switzerland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Jenna Poonoosamy (j.poonoosamy@fz-juelich.de)</corresp></author-notes><pub-date><day>6</day><month>September</month><year>2023</year></pub-date>
      
      <volume>2</volume>
      <fpage>123</fpage><lpage>124</lpage>
      <history>
        <date date-type="received"><day>4</day><month>April</month><year>2023</year></date>
           <date date-type="accepted"><day>23</day><month>May</month><year>2023</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2023 Jenna Poonoosamy et al.</copyright-statement>
        <copyright-year>2023</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://sand.copernicus.org/articles/2/123/2023/sand-2-123-2023.html">This article is available from https://sand.copernicus.org/articles/2/123/2023/sand-2-123-2023.html</self-uri><self-uri xlink:href="https://sand.copernicus.org/articles/2/123/2023/sand-2-123-2023.pdf">The full text article is available as a PDF file from https://sand.copernicus.org/articles/2/123/2023/sand-2-123-2023.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e134">Deep geological repositories with a multi-barrier concept are foreseen by various countries for the disposal of high-level radioactive waste. Simulation tools for a close-to-reality description of repository evolution scenarios are required, especially to resolve the challenging task of comparing and assessing the long-term safety of different repository concepts in different host rocks within the German site-selection process.
Chemical, thermal, and pressure gradients at the interfaces of the different barriers in a repository can lead to mineral dissolution and precipitation, generating non-linear responses in transport and mechanical properties of barrier materials and host rocks. Reactive transport modeling (RTM) can be applied to investigate these perturbations and processes across temporal and spatial scales to assess subsurface evolution. Nevertheless, implementing RTM at the continuum scale while accounting for pore-scale heterogeneities and geometry evolution remains a challenge. Pore-scale simulations offer the potential to capture the complex evolution of porous media over a broad range of Peclet and Damköhler numbers, and they can be utilized to improve the RTM by using upscaling methods (Prasianakis et al., 2020). In this context, we developed “lab-on-a-chip” experiments, combining time-lapse high-resolution optical microscopy and confocal Raman spectroscopy to test extended constitutive equations to classically employed Archie's law to improve the description of changes in transport properties (e.g., diffusivity) in evolving porous media in RTM. The 3D Raman tomography of the porous media combined with pore-scale modeling enabled the derivation of upscaled transport parameters. Our results highlight the importance of calibrating pore-scale models with quantitative experiments prior to simulations over a wide range of Peclet and Damköhler numbers, whose results can be further used for the derivation of upscaled modeling parameters. The derived and parameterized constitutive equations based on simple systems have been tested in reactive transport models as a sensitivity case study to evaluate uncertainties in the predictions of the evolution of real subsurface systems such as clay–cement interfaces in deep geological repositories.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Bundesministerium für Bildung und Forschung</funding-source>
<award-id>02NUK053A</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Helmholtz-Gemeinschaft</funding-source>
<award-id>HGF Grant SO-093</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

      
      </body>
    <back><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e142">This research has been supported by the Bundesministerium für Bildung und Forschung (grant no. 02NUK053A) and the Helmholtz Association (grant no. SO-093).</p>
  </notes><?xmltex \hack{\newpage}?><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Prasianakis, N. I., Haller, R., Mahrous, M., Poonoosamy, J., Pfingsten, W., and Churakov, S. V.: Neural network-based process coupling and parameter
upscaling in reactive transport simulations, Geochim. Cosmochim. Ac., 291,
126–143, <ext-link xlink:href="https://doi.org/10.1016/j.gca.2020.07.019" ext-link-type="DOI">10.1016/j.gca.2020.07.019</ext-link>, 2020.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Reactive transport modeling for assessing  coupled hydrogeochemical processes at  interfaces in deep geological repositories:  from the laboratory to the real world</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
      
Prasianakis, N. I., Haller, R., Mahrous, M., Poonoosamy, J., Pfingsten, W., and Churakov, S. V.: Neural network-based process coupling and parameter
upscaling in reactive transport simulations, Geochim. Cosmochim. Ac., 291,
126–143, <a href="https://doi.org/10.1016/j.gca.2020.07.019" target="_blank">https://doi.org/10.1016/j.gca.2020.07.019</a>, 2020.

    </mixed-citation></ref-html>--></article>
