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"title": "JutulDarcy.jl - High-performance porous media and reservoir simulator based on automatic differentiation",
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"section": "Abstract",
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"text": "Abstract\nAbstract will be updated later."
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"text": "Abstract\nSubsurface flow and transport processes are central to many geoscientific applications, including hydrocarbon recovery, carbon capture and sequestration, geothermal energy, and groundwater flow. JutulDarcy.jl is a fully differentiable, high-performance simulator toolbox that allows for both custom simulations written as script, and industry standard input formats.\n\nOutline\n\nInstallation of the software and access to documentation\nA brief overview on subsurface flow\nRunning your first JutulDarcy simulation\nExample: Geothermal data assimilation & optimization"
"title": "JutulDarcy.jl - High-performance porous media and reservoir simulator based on automatic differentiation",
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"section": "Materials and Instructions",
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"text": "Materials and Instructions\n\nSlides: To be added.\nNotebooks or scripts: To be added.\nData: To be added."
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"text": "Materials and Instructions\nSee the JutulDarcy documentation and in particular the getting started section. Installation before the session starts may save some time. All examples used in the session can be downloaded from the examples source directory and published versions with recorded output can be viewed online.\n\nSlides: To be added."
<p>This hands-on session introduces JutulDarcy.jl, a high-performance porous media and reservoir simulator based on automatic differentiation.</p>
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<p>This hands-on session introduces <ahref="https://github.com/sintefmath/JutulDarcy.jl">JutulDarcy.jl</a>, a high-performance porous media and reservoir simulator based on automatic differentiation.</p>
<p>Subsurface flow and transport processes are central to many geoscientific applications, including hydrocarbon recovery, carbon capture and sequestration, geothermal energy, and groundwater flow. JutulDarcy.jl is a fully differentiable, high-performance simulator toolbox that allows for both custom simulations written as script, and industry standard input formats.</p>
<p><ahref="https://olavmoyner.com/">Olav Møyner</a> is a Senior Research Scientist in the Applied Computational Sciences group at SINTEF Digital, a not-for-profit independent research institute in Norway.</p>
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<p><ahref="https://olavmoyner.com/">Olav Møyner</a> is a Senior Research Scientist in the <ahref="https://www.sintef.no/en/digital/departments/mathematics-and-cybernetics/applied-computational-science/">Applied Computational Sciences group at SINTEF Digital</a>, a not-for-profit independent research institute in Norway.</p>
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<p>Research interests include:</p>
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<ul>
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<li>Solution methods for coupled, nonlinear partial differential equations (PDEs)</li>
<h2class="anchored" data-anchor-id="materials-and-instructions">Materials and Instructions</h2>
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<p>See the <ahref="https://sintefmath.github.io/JutulDarcy.jl/stable/">JutulDarcy documentation</a> and in particular the <ahref="https://sintefmath.github.io/JutulDarcy.jl/stable/man/intro">getting started</a> section. Installation before the session starts may save some time. All examples used in the session can be downloaded from the <ahref="https://github.com/sintefmath/JutulDarcy.jl/tree/main/examples">examples source directory</a> and <ahref="https://sintefmath.github.io/JutulDarcy.jl/stable/examples/overview/example_overview">published versions with recorded output</a> can be viewed online.</p>
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