{"id":39,"date":"2015-10-08T09:17:13","date_gmt":"2015-10-08T09:17:13","guid":{"rendered":"http:\/\/95.85.43.55\/?page_id=39"},"modified":"2026-03-16T12:40:16","modified_gmt":"2026-03-16T12:40:16","slug":"publications","status":"publish","type":"page","link":"https:\/\/opm-project.org\/?page_id=39","title":{"rendered":"Talks and publications"},"content":{"rendered":"\n<p>This page contains talks from OPM webinars and summits, as well as journal and conference articles that have been written using OPM Flow.<\/p>\n\n\n\n<p><strong>Primary Publication:<br><\/strong><em>The Open Porous Media Flow reservoir simulator<\/em>.&nbsp;Atgeirr Fl\u00f8 Rasmussen, Tor Harald Sandve, Kai Bao, Andreas Lauser, Joakim Hove, B\u00e5rd Skaflestad, Robert Kl\u00f6fkorn, Markus Blatt, Alf Birger Rustad, Ove S\u00e6vareid, Knut-Andreas Lie, Andreas Thune. <em>Computers &amp; Mathematics with Applications<\/em>, published June 11 2020,&nbsp;<a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2020.05.014\">https:\/\/doi.org\/10.1016\/j.camwa.2020.05.014<\/a><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Journal Publications (61)<\/summary>\n<head>\n<style>\n.publications-list-j {\n  margin-left: 0; \n  padding-left: 0;\n  counter-reset: total-publications-j 62; \/* Set TOTAL count here only *\/\n  font-size: 1.0em;\n  line-height: 1.1;\n}\n\n.publication-year-j {\n  font-size: 1.2em;\n  margin: 5px 0 0px 0;\n  padding-bottom: 0px;\n  border-bottom: 2px solid #aaa;\n}\n\n.publications-j {\n  list-style-type: none;\n  padding: 0 0 5px 0;\n  margin: 0;\n}\n\n.publication-item-j {\n  margin-bottom: 0px;\n  position: relative;\n  padding-left: 2em;\n  counter-increment: total-publications-j -1;\n}\n\n.publication-item-j::before {\n  content: counter(total-publications-j) \".\";\n  position: absolute;\n  left: 0;\n}\n<\/style>\n<\/head>\n<body>\n\n\n<div class=\"publications-list-j\">\n    <!-- 2026 Publications -->\n    <div class=\"publication-year-j\">2026<\/div>\n    <ol class=\"publications-j\">\n<li class=\"publication-item-j\">\n    <strong>History-matching using relative permeability and localized flow regions<\/strong>. \n    F. Lomeland, T. H. Sandve, R. J. Lorentzen, K. Fossum. \n    <em>Computational Geosciences<\/em>, 30(2) (2026). \n    <a href=\"https:\/\/doi.org\/10.1007\/s10596-026-10411-y\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-026-10411-y<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>CO2 WAG and SAG Machine Learning Data-Driven Models in an Open-Source Framework \u2013 A Theoretical Study<\/strong>. \n    J. R. Llig\u00fcizaca-D\u00e1vila, F. P. Carri\u00f3n-Maldonado, D. Landa-Marb\u00e1n, J. S. Mendoza Sanz, Z. P. Alcorn, J. E. Cobos. \n    <em>Petroleum<\/em> (In Press, 2026). \n    <a href=\"https:\/\/doi.org\/10.1016\/j.petlm.2026.02.003\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.petlm.2026.02.003<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>A control-theoretic approach to adaptive time stepping in reservoir simulations and its impacts on efficiency and robustness<\/strong>. \n    E. H. S\u00e6ternes, X. Cai. \n    <em>Communications in Nonlinear Science and Numerical Simulation<\/em>, 158, 109828 (2026). \n    <a href=\"https:\/\/doi.org\/10.1016\/j.cnsns.2026.109828\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.cnsns.2026.109828<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Exploring Convergence and Its Limits in Case B of the 11th SPE Comparative Solution Project<\/strong>. \n    D. Landa-Marb\u00e1n, K.-A. Lie, K. O. Lye, O. M\u00f8yner, A. F. Rasmussen, T. H. Sandve. \n    <em>SPE Journal<\/em>, 1\u201312 (2026). \n    <a href=\"https:\/\/doi.org\/10.2118\/231853-PA\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/231853-PA<\/a>\n<\/li>\n\n<li class=\"publication-item-j\">\n    <strong>Performance of an Open-Source Image-Based History Matching Framework for CO\u2082 Storage<\/strong>. \n    D. Landa-Marb\u00e1n, T.H. Sandve, J.W. Both, J.M. Nordbotten, S.E. Gasda. \n    <em>Transport in Porous Media<\/em>, 153, Article 21 (2026). \n    <a href=\"https:\/\/doi.org\/10.1007\/s11242-025-02275-0\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s11242-025-02275-0<\/a>\n<\/li>\n<\/ol>\n    <!-- 2025 Publications -->\n    <div class=\"publication-year-j\">2025<\/div>\n    <ol class=\"publications-j\">\n<li class=\"publication-item-j\">\n    <strong>Benchmarking CO<sub>2<\/sub> storage simulations: Results from the 11th Society of Petroleum Engineers Comparative Solution Project<\/strong>. \n    J.M. Nordbotten, M.A. Fern\u00f8, B. Flemisch, A.R. Kovscek, K.-A. Lie, J.W. Both, O. M\u00f8yner, T.H. Sandve, E. Ahusborde, S. Bauer, Z. Chen, H. Class, C. Di, D. Ding, D. Element, E. Flauraud, J. Franc, F. Gasanzadeh, Y. Ghomian, M.A. Giddins, C. Green, B.R.B. Fernandes, G. Hadjisotiriou, G. Hammond, H. Huang, D. Kachuma, M. Kern, T. Koch, P. Krishnamurthy, K.O. Lye, D. Landa-Marb\u00e1n, M. Nole, P. Orsini, N. Ruby, P. Salinas, M. Sayyafzadeh, J. Torben, A. Turner, D.V. Voskov, K. Wendel, A.A. Youssef. \n    <em>International Journal of Greenhouse Gas Control<\/em>, 148, 104519 (2025). \n    <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2025.104519\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2025.104519<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Geophysical control of geologic carbon storage using deep reinforcement learning: Sensitivity to multigeophysical noise and to the uncertainty of digital twins<\/strong>. \n    K. Noh, A. Swidinsky. \n    <em>Geophysics<\/em>, 90(4), H1\u2013H14 (2025). \n    <a href=\"https:\/\/doi.org\/10.1190\/geo2024-0402.1\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1190\/geo2024-0402.1<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Predicting ultimate hydrogen production and residual volume during cyclic underground hydrogen storage in porous media using machine learning<\/strong>. \n    R. Mushabe, J.D. Minougou, D. Landa-Marb\u00e1n, B. Kane, T.H. Sandve. \n    <em>ESAIM: Proceedings and Surveys<\/em>, 81, 145\u2013167 (2025). \n    <a href=\"https:\/\/doi.org\/10.1051\/proc\/202581145\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1051\/proc\/202581145<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>A workflow for estimating injection pressure limits for CO<sub>2<\/sub> storage: A reservoir-geomechanical analysis of a candidate site in the German North Sea sector<\/strong>. \n    F. Gasanzade, H.D.B. Aji, F. Wuttke, S. Bauer. \n    <em>International Journal of Greenhouse Gas Control<\/em>, 149, 104534 (2026). \n    <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2025.104534\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2025.104534<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>A Holistic Framework for Optimizing CO<sub>2<\/sub> Storage: Reviewing Multidimensional Constraints and Application of Automated Hierarchical Spatiotemporal Discretization Algorithm<\/strong>. I. Ismail, S.P. Fotias, V. Gaganis. <em>Energies<\/em>, 18(22), 5926 (2025). \n    <a href=\"https:\/\/doi.org\/10.3390\/en18225926\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3390\/en18225926<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Graphics Processing Unit\u2013Accelerated Incomplete LU Preconditioners for Reservoir Simulation<\/strong>. \n    T.M. Andersen, J. Torben, K.O. Lye, A.F. Rasmussen, K.-A. Lie. \n    <em>SPE Journal<\/em>, 1\u201320, October 24, 2025. \n    <a href=\"https:\/\/doi.org\/10.2118\/223873-PA\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/223873-PA<\/a>\n<\/li>\n\n<li class=\"publication-item-j\">\n    <strong>A distributed field-scale parallel nonlinear domain-decomposition solver<\/strong>. A. F. Rasmussen, O. M\u00f8yner, B. Skaflestad, K.-A. Lie, J. Torben, A. Moncorg\u00e9 &#038; V. Kippe. <em>Computational Geosciences<\/em>, 29(33). <a href=\"https:\/\/doi.org\/10.1007\/s10596-025-10371-9\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-025-10371-9<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>JutulDarcy.jl &#8211; a fully differentiable high-performance reservoir simulator based on automatic differentiation<\/strong>. O. M\u00f8yner. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-025-10366-6\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-025-10366-6<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Wind-powered reservoir management with application to robust multi-objective optimization<\/strong>. M.M. Nilsen, R.J. Lorentzen, A.S. Stordal, O. Leeuwenburgh, E. Barros. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-025-10370-w\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-025-10370-w<\/a>\n<\/li>\n        <li class=\"publication-item-j\">\n            <strong>gpu-ISTL &#8211; Extending OPM Flow with GPU Linear Solvers<\/strong>. K.O. Lye, T.M. Andersen, A.F. Rasmussen, J. Torben. <em>Journal of Open Source Software<\/em>. <a href=\"https:\/\/doi.org\/10.21105\/joss.07740\" target=\"_blank\" rel=\"noopener\">doi.org\/10.21105\/joss.07740<\/a>\n        <\/li>\n        <li class=\"publication-item-j\">\n            <strong>pyopmspe11: A Python framework using OPM Flow for the SPE11 benchmark project<\/strong>. D. Landa-Marb\u00e1n, T.H. Sandve. <em>Journal of Open Source Software<\/em>. <a href=\"https:\/\/doi.org\/10.21105\/joss.07357\" target=\"_blank\" rel=\"noopener\">doi.org\/10.21105\/joss.07357<\/a>\n        <\/li>\n<li class=\"publication-item-j\"> <strong>Application of an Automated Machine Learning-Driven Grid Block Classification Framework to a Realistic Deep Saline Aquifer Model for Accelerating Numerical Simulations of CO2 Geological Storage<\/strong>. Eirini Maria Kanakaki, Sofianos Panagiotis Fotias, Vassilis Gaganis. <em>Processes<\/em>. <a href=\"https:\/\/doi.org\/10.3390\/pr13082658\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3390\/pr13082658<\/a> <\/li>\n        <li class=\"publication-item-j\">\n            <strong>Copula Modeling and Uncertainty Propagation in Field-Scale Simulation of CO2 Fault Leakage<\/strong>. P. Pettersson, E. Keilegavlen, T.H. Sandve, S.E. Gasda, S. Krumscheid. <em>Water Resources Research<\/em>. <a href=\"https:\/\/doi.org\/10.1029\/2024WR038073\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1029\/2024WR038073<\/a>\n        <\/li>\n<li class=\"publication-item-j\"> <strong>Multifidelity Monte Carlo method for rapid uncertainty quantification in CO2 storage applications<\/strong>. Francesca Watson, \u00d8ystein Klemetsdal, Kjetil Olsen Lye. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-025-10372-8\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-025-10372-8<\/a> <\/li>\n<li class=\"publication-item-j\">\n    <strong>Optimization of well locations and trajectories: Comparing sub-vertical, sub-horizontal and multi-lateral well concepts for marginal geothermal reservoir in The Netherlands<\/strong>. \n    <em>Energies<\/em>, 18(3), 627 (2025). \n    <a href=\"https:\/\/doi.org\/10.3390\/en18030627\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3390\/en18030627<\/a>\n<\/li>\n\n    <\/ol>\n\n    <!-- 2024 Publications -->\n    <div class=\"publication-year-j\">2024<\/div>\n    <ol class=\"publications-j\">\n<li class=\"publication-item-j\">\n    <strong>New Sub-grid Model for Convective Mixing in Field-Scale CO<sub>2<\/sub> Storage Simulation<\/strong>. T. S. Mykkeltvedt, T. H. Sandve &#038; S. E. Gasda. <em>Transport in Porous Media<\/em>, 152(9). <a href=\"https:\/\/doi.org\/10.1007\/s11242-024-02141-5\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s11242-024-02141-5<\/a>\n<\/li>\n        <li class=\"publication-item-j\">\n            <strong>Automated parameter tuning with accuracy control for efficient reservoir simulations<\/strong>. E. H. S\u00e6ternes, A. Thune, A. B. Rustad, T. Skeie, and X. Cai. <em>Journal of Computational Science<\/em> 75. <a href=\"https:\/\/doi.org\/10.1016\/j.jocs.2023.102205\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.jocs.2023.102205<\/a>\n        <\/li>\n<li class=\"publication-item-j\">\n    <strong>Geothermal field development optimization under geomechanical constraints and geological uncertainty: Application to a reservoir with stacked formations<\/strong>. S.P. Szklarz, E.G.D. Barros, N. Khoshnevis Gargar, S.H.J. Peeters, J.D. van Wees, V. van Pul-Verboom. <em>Geothermics<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.geothermics.2024.103094\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.geothermics.2024.103094<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Calculating Bayesian model evidence for porous-media flow using a multilevel estimator<\/strong>. T. Mannseth, K. Fossum, S.I. Aanonsen. <em>Journal of Computational Physics<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.jcp.2024.113209\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.jcp.2024.113209<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>3D mechanical analysis of geothermal reservoir operations in faulted sedimentary aquifers using MACRIS<\/strong>. A. Marelis, F. Beekman, J.-D. van Wees. <em>Geothermal Energy<\/em>. <a href=\"https:\/\/doi.org\/10.1186\/s40517-024-00284-8\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1186\/s40517-024-00284-8<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Optimization of Well Placement in Carbon Capture and Storage (CCS): Bayesian Optimization Framework under Permutation Invariance<\/strong>. S.P. Fotias, I. Ismail, V. Gaganis. <em>Applied Sciences<\/em>. <a href=\"https:\/\/doi.org\/10.3390\/app14083528\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3390\/app14083528<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Stochastic control of geological carbon storage operations using geophysical monitoring and deep reinforcement learning<\/strong>. K. Noh, A. Swidinsky. <em>International Journal of Greenhouse Gas Control<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2024.104238\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2024.104238<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Ensemble History-Matching Workflow Using Interpretable SPADE-GAN Geomodel<\/strong>. K. Fossum, S. Alyaev, A.H. Elsheikh. <em>First Break<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/1365-2397.fb2024014\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/1365-2397.fb2024014<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Geophysical control of geologic carbon storage using deep reinforcement learning: Sensitivity to multigeophysical noise and to the uncertainty of digital twins<\/strong>. K. Noh, A. Swidinsky. <em>Geophysics<\/em>. <a href=\"https:\/\/doi.org\/10.1190\/geo2024-0402.1\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1190\/geo2024-0402.1<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Accelerated ensemble optimization using momentum methods<\/strong>. M.M. Nilsen, A.S. Stordal, R.J. Lorentzen. <em>Scientific Reports<\/em>. <a href=\"https:\/\/doi.org\/10.1038\/s41598-024-76916-7\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1038\/s41598-024-76916-7<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Sensitivity analysis of parameters for carbon sequestration: Symbolic regression models based on open porous media reservoir simulators predictions<\/strong>. P. Praks, A. Rasmussen, K.O. Lye, J. Martinovi\u010d, R. Praksov\u00e1, F. Watson, D. Brki\u0107. <em>Heliyon<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.heliyon.2024.e40044\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.heliyon.2024.e40044<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Ensemble-based history matching of the Edvard Grieg field using 4D seismic data<\/strong>. R.J. Lorentzen, T. Bhakta, K. Fossum, J.A. Haugen, E.O. Lie, A.O. Ndingwan, K.R. Straith. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-024-10275-0\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-024-10275-0<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Non-Gaussian Ensemble Optimization<\/strong>. M.M. Nilsen, A.S. Stordal, P.N. Raanes, R.J. Lorentzen, K.S. Eikrem. <em>Mathematical Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s11004-024-10148-3\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s11004-024-10148-3<\/a>\n<\/li>\n    <\/ol>\n\n    <!-- 2023 Publications -->\n    <div class=\"publication-year-j\">2023<\/div>\n    <ol class=\"publications-j\">\n        <li class=\"publication-item-j\">\n            <strong>A Second-Order Finite Volume Method for Field-Scale Reservoir Simulation<\/strong>. A. Kvashchuk, R. Kl\u00f6fkorn, T.H. Sandve. <em>Transport in Porous Media<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s11242-023-01999-1\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s11242-023-01999-1<\/a>\n        <\/li>\n<li class=\"publication-item-j\">\n    <strong>Joint well-placement and well-control optimization for energy-efficient water flooding of oil fields<\/strong>. I. G. A. G. Angga, P. E. S. Bergmo, C. F. Berg. <em>Geoenergy Science and Engineering<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.geoen.2023.212251\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.geoen.2023.212251<\/a>\n<\/li>\n\n<li class=\"publication-item-j\">\n    <strong>Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs<\/strong>. Thomas J. Grady, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann. <em>Computers &#038; Geosciences<\/em>, 178, 105402 (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.cageo.2023.105402\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.cageo.2023.105402<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Fast CO<sub>2<\/sub> saturation simulations on large-scale geomodels with artificial intelligence-based Wavelet Neural Operators<\/strong>. Philipp A. Witte, Tugrul Konuk, Erik Skjetne, Ranveer Chandra. <em>International Journal of Greenhouse Gas Control<\/em>, 126, 103880 (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2023.103880\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2023.103880<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Robust production forecast and uncertainty quantification for waterflooding reservoir using hybrid recurrent auto-encoder and long short-term memory neural network<\/strong>. C. Xiao, S. Zhang, X. Ma, T. Zhou, T. Hou, F. Chen. <em>Geoenergy Science and Engineering<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.geoen.2023.212252\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.geoen.2023.212252<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Intercomparison of numerical simulation models for hydrogen storage in porous media using different codes<\/strong>. Esuru Rita Okoroafor, Luiz Sampaio, Firdovsi Gasanzade, Yulman Perez Claro, Jimin D. Zhou, Sarah D. Saltzer, Sebastian Bauer, Anthony R. Kovscek. <em>Energy Conversion and Management<\/em>, 292, 117409 (2023). <a href=\"https:\/\/doi.org\/10.1016\/j.enconman.2023.117409\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.enconman.2023.117409<\/a>\n<\/li>\n\n<li class=\"publication-item-j\">\n    <strong>It\u2019s Possible That Salt Clogging Is Lowering Your Gas Production<\/strong>. Stephen Rassenfoss. <em>Journal of Petroleum Technology<\/em>, 75 (07): 32\u201336. <a href=\"https:\/\/doi.org\/10.2118\/0723-0032-JPT\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/0723-0032-JPT<\/a>\n<\/li>\n\n<li class=\"publication-item-j\">\n    <strong>Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics-Informed Neural Network Model<\/strong>. Mingliang Liu, Divakar Vashisth, Dario Grana, Tapan Mukerji. <em>Journal of Geophysical Research: Solid Earth<\/em> (2023). <a href=\"https:\/\/doi.org\/10.1029\/2022JB025372\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1029\/2022JB025372<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Parallel Automatic History Matching Algorithm Using Reinforcement Learning<\/strong>. O.S. Alolayan, A.O. Alomar, J.R. Williams. <em>Energies<\/em>. <a href=\"https:\/\/doi.org\/10.3390\/en16020860\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3390\/en16020860<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Marginalized iterative ensemble smoothers for data assimilation<\/strong>. A.S. Stordal, R.J. Lorentzen, K. Fossum. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-023-10242-1\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-023-10242-1<\/a>\n<\/li>\n    <\/ol>\n\n    <!-- 2022 Publications -->\n    <div class=\"publication-year-j\">2022<\/div>\n    <ol class=\"publications-j\">\n<li class=\"publication-item-j\">\n    <strong>Practical field-scale simulation approaches for quantification of fault-related leakage under uncertainty<\/strong>. Sarah Gasda, Eirik Keilegavlen, Tor Harald Sandve, Runar Berge, Per Pettersson, Sebastian Krumscheid. <em>16th Greenhouse Gas Control Technologies Conference (GHGT-16)<\/em>, 23-24 Oct 2022. <a href=\"https:\/\/doi.org\/10.2139\/ssrn.4277020\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2139\/ssrn.4277020<\/a>\n<\/li>\n        <li class=\"publication-item-j\">\n            <strong>Field-scale impacts of long-term wettability alteration in geological CO2 storage<\/strong>. A.M. Kassa, S.E. Gasda, D. Landa-Marb\u00e1n, T.H. Sandve, K. Kumar. <em>International Journal of Greenhouse Gas Control<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2021.103556\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2021.103556<\/a>\n        <\/li>\n<li class=\"publication-item-j\">\n    <strong>Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery<\/strong>. T. Keil, H. Kleikamp, R.J. Lorentzen, M.B. Oguntola, M. Ohlberger. <em>Advances in Computational Mathematics<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10444-022-09981-z\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10444-022-09981-z<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Impact of deformation bands on fault-related fluid flow in field-scale simulations<\/strong>. R.L. Berge, S.E. Gasda, E. Keilegavlen, T.H. Sandve. <em>International Journal of Greenhouse Gas Control<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2022.103729\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2022.103729<\/a>\n<\/li>\n        <li class=\"publication-item-j\">\n            <strong>Dynamic PVT model for CO2-EOR black-oil simulations<\/strong>. T.H. Sandve, O. S\u00e6vareid, I. Aavatsmark. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-022-10133-x\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-022-10133-x<\/a>\n        <\/li>\n<li class=\"publication-item-j\">\n    <strong>Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network<\/strong>. C. Xiao, H.-X. Lin, O. Leeuwenburgh, A. Heemink. <em>Journal of Petroleum Science and Engineering<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.petrol.2021.109287\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.petrol.2021.109287<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>A physics-informed optimization workflow to manage injection while constraining induced seismicity: The Oklahoma case<\/strong>. T. Candela, C.G. Machado, O. Leeuwenburgh, J. Ter Heege. <em>Frontiers in Earth Science<\/em>. <a href=\"https:\/\/doi.org\/10.3389\/feart.2022.1053951\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3389\/feart.2022.1053951<\/a>\n<\/li>\n    <\/ol>\n\n    <!-- 2021 Publications -->\n    <div class=\"publication-year-j\">2021<\/div>\n    <ol class=\"publications-j\">\n        <li class=\"publication-item-j\">\n            <strong>On the impact of heterogeneity-aware mesh partitioning and non-contributing computation removal on parallel reservoir simulations<\/strong>. A. Thune, X. Cai, A.B. Rustad. <em>Journal of Mathematics in Industry<\/em>. <a href=\"https:\/\/doi.org\/10.1186\/s13362-021-00108-5\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1186\/s13362-021-00108-5<\/a>\n        <\/li>\n<li class=\"publication-item-j\">\n    <strong>Conditioning of deep-learning surrogate models to image data with application to reservoir characterization<\/strong>. C. Xiao, O. Leeuwenburgh, H.-X. Lin, A. Heemink. <em>Knowledge-Based Systems<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.knosys.2021.106956\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.knosys.2021.106956<\/a>\n<\/li>\n        <li class=\"publication-item-j\">\n            <strong>Hardware Acceleration of High-Performance Computational Flow Dynamics Using High-Bandwidth Memory-Enabled Field-Programmable Gate Arrays<\/strong>. T. Hogervorst, R. Nane, G. Marchiori, T.D. Qiu, M. Blatt, A.B. Rustad. <em>ACM Transactions on Reconfigurable Technology and Systems<\/em>. <a href=\"https:\/\/doi.org\/10.1145\/3476229\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1145\/3476229<\/a>\n        <\/li>\n\n<li class=\"publication-item-j\">\n    <strong>CO\u2082 Convection in Hydrocarbon Under Flowing Conditions<\/strong>. Time S. Mykkeltvedt, Sarah E. Gasda, Tor Harald Sandve. <em>Transport in Porous Media<\/em>, 139: 155\u2013170 (2021). <a href=\"https:\/\/doi.org\/10.1007\/s11242-021-01653-8\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s11242-021-01653-8<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Quantitative assessment of monitoring strategies for conformance verification of CO<sub>2<\/sub> storage projects<\/strong>. E.G.D. Barros, O. Leeuwenburgh, S.P. Szklarz. <em>International Journal of Greenhouse Gas Control<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.ijggc.2021.103403\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.ijggc.2021.103403<\/a>\n<\/li>\n    <\/ol>\n\n    <!-- 2020 Publications -->\n    <div class=\"publication-year-j\">2020<\/div>\n    <ol class=\"publications-j\">\n        <li class=\"publication-item-j\">\n            <strong>The Open Porous Media Flow reservoir simulator<\/strong>. Atgeirr Fl\u00f8 Rasmussen, Tor Harald Sandve, Kai Bao, Andreas Lauser, Joakim Hove, B\u00e5rd Skaflestad, Robert Kl\u00f6fkorn, Markus Blatt, Alf Birger Rustad, Ove S\u00e6vareid, Knut-Andreas Lie, Andreas Thune. <em>Computers &#038; Mathematics with Applications<\/em>. <a href=\"https:\/\/doi.org\/10.1016\/j.camwa.2020.05.014\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.camwa.2020.05.014<\/a>\n        <\/li>\n<li class=\"publication-item-j\">\n    <strong>Study on Validation of the OPM Reservoir Simulator by Comparative Solution Project<\/strong>. H. Fan, G. D. Westford, and G. Li. <em>Petroleum &#038; Petrochemical Engineering Journal<\/em> (2020). <a href=\"https:\/\/doi.org\/10.23880\/ppej-16000241\" target=\"_blank\" rel=\"noopener\">doi.org\/10.23880\/ppej-16000241<\/a>\n<\/li>\n    <\/ol>\n\n<div class=\"publication-year-j\">2019<\/div>\n<ol class=\"publications-j\">\n<li class=\"publication-item-j\">\n    <strong>Efficient reordered nonlinear Gauss\u2013Seidel solvers with higher order for black-oil models<\/strong>. \u00d8. S. Klemetsdal, A. F. Rasmussen, O. M\u00f8yner, K.-A. Lie. <em>Computational Geosciences<\/em>. <a href=\"https:\/\/doi.org\/10.1007\/s10596-019-09844-5\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s10596-019-09844-5<\/a>\n<\/li>\n<li class=\"publication-item-j\">\n    <strong>Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling<\/strong>. Ji\u0159\u00ed Navr\u00e1til, Alan King, Jesus Rios, Georgios Kollias, Ruben Torrado, and Andr\u00e9s Codas. <em>Frontiers in Big Data<\/em> (2019). <a href=\"https:\/\/doi.org\/10.3389\/fdata.2019.00033\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3389\/fdata.2019.00033<\/a>\n<\/li>\n<\/ol>\n\n    <!-- 2015 Publications -->\n    <div class=\"publication-year-j\">2015<\/div>\n    <ol class=\"publications-j\">\n        <li class=\"publication-item-j\">\n            <strong>Rate dependency in steady-state upscaling<\/strong>. Lars Hov Ods\u00e6ter, Carl Fredrik Berg and Alf Birger Rustad. <em>Transport in Porous Media<\/em>, pp. 1-25. <a href=\"https:\/\/doi.org\/10.1007\/s11242-015-0573-y\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1007\/s11242-015-0573-y<\/a>\n        <\/li>\n    <\/ol>\n\n    <!-- 2014 Publications -->\n    <div class=\"publication-year-j\">2014<\/div>\n    <ol class=\"publications-j\">\n        <li class=\"publication-item-j\">\n            <strong>Fast simulation of polymer injection in heavy-oil reservoirs on the basis of topological sorting and sequential splitting<\/strong>. K.-A. Lie, H. M. Nilsen, A. F. Rasmussen, and X. Raynaud. <em>SPE Journal<\/em>, Vol. 20, No. 2, pp. 306-323 (2014). <a href=\"https:\/\/doi.org\/10.2118\/163599-PA\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/163599-PA<\/a>\n        <\/li>\n    <\/ol>\n<\/div>\n<\/body>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Conference Publications (28)<\/summary>\n<head>\n<style>\n.publications-list {\n  margin-left: 0; \n  padding-left: 0;\n  counter-reset: total-publications 29; \/* Set TOTAL + 1 count here only *\/\n  font-size: 1.0em;\n  line-height: 1.1;\n}\n\n.publication-year {\n  font-size: 1.2em;\n  margin: 5px 0 0px 0;\n  padding-bottom: 0px;\n  border-bottom: 2px solid #aaa;\n}\n\n.publications {\n  list-style-type: none;\n  padding: 0 0 5px 0;\n  margin: 0;\n}\n\n.publication-item {\n  margin-bottom: 0px;\n  position: relative;\n  padding-left: 2em;\n  counter-increment: total-publications -1;\n}\n\n.publication-item::before {\n  content: counter(total-publications) \".\";\n  position: absolute;\n  left: 0;\n}\n<\/style>\n<\/head>\n<body>\n\n<div class=\"publications-list\">\n\n    <!-- 2025 Publications -->\n    <div class=\"publication-year\">2025<\/div>\n    <ol class=\"publications\">\n<li class=\"publication-item\">\n    <strong>Performance Assessment on Neural Operator Surrogate Models for Porous Media Flows<\/strong>. \n    G.F. Barros, R.M. Silva, A.C.N. de Oliveira, E.S. Santos, R.S.M. Freitas, F.A. Rochinha, A.L.G.A. Coutinho. \n    <em>CILAMCE-2025<\/em>, \n    Vit\u00f3ria, Brazil, Nov 24\u201327, 2025. \n    <a href=\"https:\/\/www.researchgate.net\/publication\/399379292_Performance_Assessment_on_Neural_Operator_Surrogate_Models_For_Porous_Media_Flows\" target=\"_blank\" rel=\"noopener\">\n        ResearchGate\n    <\/a>\n<\/li>\n<li class=\"publication-item\">\n    <strong>Multi-Scale Simulation Strategies for Managing Pressure Interference in Multi-Site CO<sub>2<\/sub> Storage in Large Regional Aquifers<\/strong>. \n    T.H. Sandve, W. Boon, D. Landa-Marb\u00e1n, S. Tveit, S.E. Gasda. \n    <em>Sixth EAGE Global Energy Transition Conference &#038; Exhibition (GET 2025)<\/em>, Oct 2025, Volume 2025, p.1\u20134. \n    <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202521134\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202521134<\/a>\n<\/li>\n\n<li class=\"publication-item\"> <strong>Regional-Scale Pressure Modeling of Multi-Site Storage<\/strong>. T. Mykkeltvedt, S. Tveit, S. Gasda. <em>World CCUS Conference 2025<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202522154\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202522154<\/a> <\/li>\n        <li class=\"publication-item\">\n            <strong>Lessons Learned in Using Open-Source Simulation Software on Real Asset Models<\/strong>. E. Reiso, H. Hoegstoel, V. Kippe, T. Kl\u00f8v, J.I. Logstein, A.B. Rustad, T. Skille, A.F Rasmussen, T.H Sandve, M. Blatt. <em>SPE Reservoir Simulation Conference 2025<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/223851-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/223851-MS<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>A Comparison of DILU And ILU(0) as GPU-Accelerated Preconditioners<\/strong>. T.M. Andersen, J. Torben, K. O. Lye, A. F. Rasmussen, K. A. Lie. <em>SPE Reservoir Simulation Conference 2025<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/223873-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/223873-MS<\/a>\n        <\/li>\n<li class=\"publication-item\">\n    <strong>Fast Closed-Loop Well Placement Optimization with Ensemble-Based Data-Space Inversion Framework<\/strong>. E.G.D. Barros, S.P. Szklarz. <em>SPE Reservoir Simulation Conference 2025<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/223849-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/223849-MS<\/a>\n<\/li>\n        <li class=\"publication-item\">\n            <strong>Incremental Machine Learning for Near-Well Prediction: A Non-Linear Preconditioning Approach to Faster History Matching<\/strong>. A. Lechevallier, T.H. Sandve, D. Landa-Marb\u00e1n, B. Kane, S.E. Gasda. <em>SPE Reservoir Simulation Conference 2025<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/223843-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/223843-MS<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>Everest\u2122: An Open-Source Platform for Decision Making Under Uncertainties<\/strong>. R. G. Hanea, R. Oliveira, T. Popa, F. Feldmann, \u00d8. Eide, S. Sortland, T. L. M. van der Heijden, E. G. D. Barros, S. P. Szklarz, O. Leeuwenburgh, P. J. Verveer, S. de Hoop, S. Bottero, K. M. Hopstaken. <em>SPE Reservoir Simulation Conference 2025<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/223850-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/223850-MS<\/a>\n        <\/li>\n    <\/ol>\n\n    <!-- 2024 Publications -->\n    <div class=\"publication-year\">2024<\/div>\n    <ol class=\"publications\">\n<li class=\"publication-item\">\n    <strong>Regional CO<sub>2<\/sub> Storage Simulations on the Troll Aquifer Model<\/strong>. S. Tveit, S. Gasda, D. Landa-Marb\u00e1n, T.H. Sandve. <em>SPE Norway Subsurface Conference, Bergen, Norway, April 2024<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/218433-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/218433-MS<\/a>\n<\/li>\n        <li class=\"publication-item\">\n            <strong>Data-Driven Predictions of CO2 EOR Numerical Studies Using Machine Learning in an Open-Source Framework<\/strong>. J. R. Lliguizaca, D. Landa-Marb\u00e1n, S. E. Gasda, T. H. Sandve, Z. P. Alcorn. <em>SPE Norway Subsurface Conference 2024<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/218441-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/218441-MS<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>Impact of Intermittency on Salt Precipitation During CO2 Injection<\/strong>. D. Landa-Marb\u00e1n, N. Zamani, T. H. Sandve, S. E. Gasda. <em>SPE Norway Subsurface Conference 2024<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/218477-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/218477-MS<\/a>\n        <\/li>\n<li class=\"publication-item\">\n    <strong>A hierarchical approach for modeling regional pressure interference in multi-site CO<sub>2<\/sub> operations<\/strong>. Svenn Tveit, Sarah E. Gasda, David Landa-Marb\u00e1n, Tor Harald Sandve. <em>Geoenergy Science and Engineering<\/em>, Volume 248, May 2025, 213733. <a href=\"https:\/\/doi.org\/10.1016\/j.geoen.2025.213733\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.geoen.2025.213733<\/a>\n<\/li>\n<li class=\"publication-item\">\n    <strong>Efficient Computational Approaches to Quantify Hydrogen Leakage through Faults in Underground Hydrogen Storage<\/strong>. T.S. Mykkeltvedt, S. Tveit, T.H. Sandve, S. Gasda. <em>ECMOR 2024, European Association of Geoscientists &#038; Engineers<\/em>, Volume 2024, p.1-14. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202437059\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202437059<\/a>\n<\/li>\n        <li class=\"publication-item\">\n            <strong>Closed-Loop Reservoir Management Using Fast Data-Calibrated Coarse Models<\/strong>. T.H. Sandve, R.J. Lorentzen, D.L. Marban, K. Fossum. <em>ECMOR 2024<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202437071\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202437071<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>Distributed Field-Scale Parallel Nonlinear Domain Decomposition Solver<\/strong>. A. Rasmussen, O. Moyner, B. Skaflestad, K. Lie, J. Torben, A. Moncorg\u00e9, V. Kippe. <em>ECMOR 2024<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202437058\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202437058<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>A Machine-Learned Near-Well Model in OPM Flow<\/strong>. P. Von Schultzendorff, T.H. Sandve, B. Kane, D. Landa-Marb\u00e1n, J.W. Both, J.M. Nordbotten. <em>ECMOR 2024<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202437033\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202437033<\/a>\n        <\/li>\n\n    <\/ol>\n\n    <!-- 2023 Publications -->\n    <div class=\"publication-year\">2023<\/div>\n    <ol class=\"publications\">\n        <li class=\"publication-item\">\n            <strong>Constrained Pressure Residual Preconditioner Including Wells for Reservoir Simulation<\/strong>. H. M. Nilsen, E. Ahmed, A. F. Rasmussen, K. Bao, T. Skille. <em>SPE Reservoir Simulation Conference 2023<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/212172-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/212172-MS<\/a>\n        <\/li>\n\n<li class=\"publication-item\">\n    <strong>Salt Precipitation and Water Evaporation Modelling in a Black-Oil Reservoir Simulator<\/strong>. Cintia Goncalves Machado, Paul Egberts, Jostein Alvestad, Odd Steve Hustad. <em>SPE Reservoir Simulation Conference 2023<\/em>. <a href=\"https:\/\/doi.org\/10.2118\/212257-MS\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2118\/212257-MS<\/a>\n<\/li>\n    <\/ol>\n\n    <!-- 2022 Publications -->\n    <div class=\"publication-year\">2022<\/div>\n    <ol class=\"publications\">\n<li class=\"publication-item\">\n    <strong>History Matching Field Scale Model Using LET Based Relative Permeability<\/strong>. T.H. Sandve, O. S\u00e6vareid, F. Lomeland, R.J. Lorenzen. <em>ECMOR 2022, European Association of Geoscientists &#038; Engineers<\/em>, Volume 2022, p.1-9. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202244030\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202244030<\/a>\n<\/li>\n        <li class=\"publication-item\">\n            <strong>Simulators for the Gigaton Storage Challenge. A Benchmark Study on the Regional Smeaheia Model<\/strong>. T.H. Sandve, A.B. Rustad, A. Thune, B. Nazarian, S. Gasda and A.F. Rasmussen. <em>EAGE GeoTech 2022<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.20224033\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.20224033<\/a>\n        <\/li>\n    <\/ol>\n\n    <!-- 2021 Publications -->\n    <div class=\"publication-year\">2021<\/div>\n    <ol class=\"publications\">\n        <li class=\"publication-item\">\n            <strong>Convective Dissolution in Field Scale CO2 Storage Simulations Using the OPM Flow Simulator<\/strong>. T.H Sandve, S.E Gasda, A.F. Rasmussen, A.B Rustad. <em>TCCS-11, 2021<\/em>. <a href=\"https:\/\/hdl.handle.net\/11250\/2780667\" target=\"_blank\" rel=\"noopener\">hdl.handle.net\/11250\/2780667<\/a>\n        <\/li>\n<li class=\"publication-item\">\n    <strong>Numerical Studies of CO\u2082 Leakage Remediation by MICP-Based Plugging Technology<\/strong>. D. Landa-Marb\u00e1n, K. Kumar, S. Tveit, S.E. Gasda. <em>TCCS-11, 2021<\/em>. <a href=\"https:\/\/hdl.handle.net\/11250\/2786420\" target=\"_blank\" rel=\"noopener\">hdl.handle.net\/11250\/2786420<\/a>\n<\/li>\n\n<li class=\"publication-item\">\n    <strong>PVT and Flow Behavior of Impure CO\u2082 in Aquifers<\/strong>. O. S\u00e6vareid, S.E. Gasda, T.S. Mykkeltvedt. <em>TCCS-11, 2021<\/em>. <a href=\"https:\/\/hdl.handle.net\/11250\/2786898\" target=\"_blank\" rel=\"noopener\">hdl.handle.net\/11250\/2786898<\/a>\n<\/li>\n\n    <\/ol>\n    <!-- 2020 Publications -->\n    <div class=\"publication-year\">2020<\/div>\n    <ol class=\"publications\">\n<li class=\"publication-item\">\n    <strong>STORMSLIB: a computational library for research and development of reservoir optimization<\/strong>. I.T. Ghisi, C.A. dos Santos, V.G. Silva, E.L.F. Fortaleza, E. Pereira Neto, M.E.R. Miranda, W.H.C. Sanchez, F.P. Munerato. <em>Rio Oil &#038; Gas Expo and Conference 2020<\/em>. <a href=\"https:\/\/doi.org\/10.48072\/2525-7579.rog.2020.461\" target=\"_blank\" rel=\"noopener\">doi.org\/10.48072\/2525-7579.rog.2020.461<\/a>\n<\/li>\n<li class=\"publication-item\">\n    <strong>Improved Extended Blackoil Formulation for CO<sub>2<\/sub>EOR Simulations<\/strong>. T.H. Sandve, O. S\u00e6vareid, I. Aavatsmark. <em>ECMOR XVII 2020<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.202035059\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.202035059<\/a>\n<\/li>\n<\/ol>\n    <!-- 2018 Publications -->\n    <div class=\"publication-year\">2018<\/div>\n    <ol class=\"publications\">\n        <li class=\"publication-item\">\n            <strong>Open reservoir simulator for CO2 storage and CO2-EOR<\/strong>. Tor Harald Sandve, Atgeirr Fl\u00f8 Rasmussen, Alf Birger Rustad. <em>14th Greenhouse Gas Control Technologies Conference Melbourne, 2018<\/em>. <a href=\"https:\/\/doi.org\/10.2139\/ssrn.3366137\" target=\"_blank\" rel=\"noopener\">doi.org\/10.2139\/ssrn.3366137<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>Well Control Optimization Of The OLYMPUS Case Using MRST And OPM<\/strong>. S. Krogstad, H.M. Nilsen, O. M\u00f8yner and A.F. Rasmussen. <em>EAGE\/TNO Workshop on OLYMPUS Field Development Optimization 2018<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.201802287\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.201802287<\/a>\n        <\/li>\n        <li class=\"publication-item\">\n            <strong>Local forward- mode automatic differentiation for high performance parallel pilot-level reservoir simulation<\/strong>. Andreas Lauser, Atgeirr Fl\u00f8 Rasmussen, Tor Harald Sandve, Halvor M\u00f8ll Nilsen. <em>ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery, 2018<\/em>. <a href=\"https:\/\/doi.org\/10.3997\/2214-4609.201802153\" target=\"_blank\" rel=\"noopener\">doi.org\/10.3997\/2214-4609.201802153<\/a>\n        <\/li>\n    <\/ol>\n\n<\/div>\n<\/body>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Talks<\/summary>\n<h4 class=\"wp-block-heading\">Talks<\/h4>\n\n\n\n<h6 class=\"wp-block-heading\">Presentation from the 2025 SIAM GS conference<\/h6>\n\n\n\n<p><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2025\/10\/siam2025-opm-sintef-export.pdf\" data-type=\"attachment\" data-id=\"2018\">OPM Flow: Scaling Up an Open-SourceSimulator for Industrial Application<\/a><\/p>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the December 2024 Webinar on CO2 simulation with OPM Flow<\/h6>\n\n\n\n<p>The presentations are available on the <a href=\"https:\/\/opm-project.org\/?p=1788\">webinar page<\/a>.<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the April 2024 OPM summit in Oslo<\/h6>\n\n\n\n<p>The presentations are available on the <a href=\"https:\/\/opm-project.org\/?p=1663\">program page<\/a>, linked from each talk separately.<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the September 2023 online CO2 webinar<\/h6>\n\n\n\n<p>These are found at <a href=\"https:\/\/opm-project.org\/?p=1612\">this post<\/a>.<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the August 2022 OPM summit in Trondheim<\/h6>\n\n\n\n<p>These are available on the <a href=\"https:\/\/opm-project.org\/?p=1493\">program page for the meeting<\/a>, linked within the program itself.<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the February 2020 OPM meeting in Eichst\u00e4tt<\/h6>\n\n\n\n<ul>\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2020\/02\/abir-OPM_Summary_of_development-2020.pdf\">OPM and its Development<\/a>, Alf Birger Rustad (Equinor)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2020\/02\/joakim-PythonOPM2020.pdf\">Python in flow<\/a>, Joakim Hove (OPM-OP)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/atgeirr-slides-opm-meeting2020.pdf\">Improvements to OPM<\/a>, Atgeirr Rasmussen (SINTEF)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/jostein_Eclipse_compatible_Restart_Files_in_OPM_flow_public_2020.pdf\">Eclipse compatible Restart Files in OPM flow<\/a>, Torbj\u00f8rn Skille and Jostein Alvestad (Equinor)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/OPMMeeting2020_TNO.pdf\">OPM&#8217;s Latest Developments by TNO<\/a>, Cintia Goncalves Machado (TNO)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/robert_opm20_python.pdf\">Status of Python Bindings in OPM-flow<\/a>, Robert Kl\u00f6fkorn (NORCE)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/BDA_OPM_Presentation_2020.pdf\">OPM Hardware Acceleration<\/a>, Tom Hogervorst and Tong Dong Qiu (BigData Accelerate)<\/li>\n\n\n\n<li><a href=\"http:\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/OPMRUN_Introduction_2020-04_Rev-1.pdf\">OPMRun: GUI for OPM Flow<\/a>, David Baxendale (OPM-OP)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the January 2019 OPM summit in Utrecht<\/h6>\n\n\n\n<ul>\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/OPM-summit-2019.pdf\">Current status and overview<\/a>, Alf Birger Rustad (Equinor)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/opm_summit_2019_equinor_experience.pdf\">Experiences from Implementation of OPM Flow at Equinor<\/a>, Torbj\u00f8rn Skille (Equinor)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/ResInsightOpm2019.pdf\">New features in ResInsight<\/a>, Magne Sjaastad (Ceetron Solutions)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/sandve_opm_meeting_jan_2019.pdf\">CO2 storage and &nbsp;CO2-EOR simulations in OPM<\/a>, Tor Harald Sandve (Norce)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/OPMsummitPresentation.pdf\">Aquifer modeling in OPM<\/a>, Wessel De Zeeuw (TNO)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/flow-restart.pdf\">Output functionality in OPM<\/a>, B\u00e5rd Skaflestad (SINTEF)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/tuning_opt_summit.pdf\">Tuning Optimization of an ensemble of full field models<\/a>, Rohith Nair (TNO)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/opm_for_geothermal_simulations.pdf\">OPM Flow for geothermal simulations<\/a>, Siavash Kahrobaei (TNO)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/Andreas_Thune_MeshPartitioning.pdf\">Mesh partitioning in the presence of strong coefficient heterogeneity<\/a>, Andreas Thune (Simula)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/ACTIONX.pdf\">ACTIONX: programming in the Eclipse data file<\/a>, Joakim Hove (Datagr)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/10\/opm-development-stories.pdf\">OPM development stories<\/a>, Atgeirr Fl\u00f8 Rasmussen (SINTEF)<\/li>\n\n\n\n<li><a href=\"https:\/\/opm-project.org\/wp-content\/uploads\/2019\/02\/tasklets.pdf\">Multi-threading with tasklets<\/a>, Andreas Lauser (PoWare)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Presentation from the December 2017 EU-MATHS-IN workshop in Leiden<\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2018\/01\/MSO4SC-OPM-slides-updated.pdf\">OPM Flow in MSO4SC and other stories<\/a>, Atgeirr Fl\u00f8 Rasmussen<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the&nbsp;October&nbsp;2017 OPM meeting in Bergen<\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-birger-current-status.pdf\">OPM: current status and overview<\/a> (Alf Birger Rustad, Statoil)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-blatt-parallell.pdf\">Flow-MPI<\/a> (Markus Blatt, HPC simulation software and services)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/rohith_tno_tuning.pdf\">Robust tuning to improve runtime and accuracy of Flow simulations<\/a> (Rohith Nair, TNO)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-Keilegavlen-porePy.pdf\">PorePy: A Python Simulation Tool for Fractured and Deformable Porous Media<\/a> (Eirik Keilegavlen, UiB)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-moeyner-MRST.pdf\">Recent developments in the Matlab Reservoir Simulation Toolbox: Implicit schemes for compositional flow and hybrid schemes for CO2 storage<\/a> (Olav M\u00f8yner, Sintef)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-rasmussen-flow-solvers.pdf\">Nonlinear solvers for OPM Flow<\/a> (Atgeirr Rasmussen, Sintef)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-hove-OPMpython.pdf\">Python wrappers for Eclipse and OPM-Parser<\/a> (Joakim Hove, Statoil)<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-sandve-co2Eor-simulations.pdf\">CO2-EOR simulations in OPM<\/a> (Tor Harald Sandve, IRIS)&nbsp;<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/10\/opm2017-lauser-ewoms-primer.pdf\">How to make your own simulator in OPM Ewoms? Tutorials and examples. <\/a>(Andreas Lauser, Poware software solutions)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">OPM-related presentation from <a href=\"http:\/\/www.siam-gs17.de\">SIAM Geosciences 2017<\/a><\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/09\/flow_solvers1.pdf\">Nonlinear solvers in OPM Flow<\/a>, Atgeirr Fl\u00f8 Rasmussen<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">OPM presentations fron the May 2017 <a href=\"http:\/\/mso4sc.elmerex.hu\/?page_id=613\">MSO4SC workshop<\/a> in Budapest<\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/05\/OPM-in-MSO4SC.pdf\">OPM in MSO4SC<\/a>, Atgeirr Fl\u00f8 Rasmussen<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2017\/05\/OPM-flow.pdf\">OPM Flow &#8211; overview and demonstration<\/a>, Atgeirr Fl\u00f8 Rasmussen<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Presentations from the June 2016 OPM meeting in Oslo<\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-rustad-overview.pdf\">OPM overview<\/a>, Alf Birger Rustad<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-sandve-solvent-co2.pdf\">The solvent model for CO2 simulations<\/a>, Tor Harald Sandve<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-liu-polymer-simulator.pdf\">Polymer simulator for OPM<\/a>, Liu Ming<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-sagen-iorsim.pptx\">IORSim<\/a>, Jan Sagen<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-blatt-parallel-flow.pdf\">Parallel Flow-MPI simulator<\/a>, Markus Blatt<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-lauser-dense-ad.pdf\">The OPM dense automatic differentiation framework<\/a>, Andreas Lauser<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-nair-tno-user-perspective.pdf\">TNO user perspective: OPM<\/a>, Rohith Nair<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-bao-multi-segment-wells.pdf\">Multi-segment wells and well modeling<\/a>, Kai Bao<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-schneider-nonlinear-fv.pdf\">Monotone nonlinear finite volume scheme for flow in porous media<\/a>, Martin Schneider<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-kane-adaptive-dg.pdf\">Adaptive higher order DG methods for two-phase flow<\/a>, Birane Kane<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-kvarving-ifem.pdf\">IFEM &#8211; introduction and overview<\/a>, Arne Morten Kvarving<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-khait-nextgen-simulation.pptx\">Next generation reservoir simulation: how to combine flexibility and performance?<\/a> Mark Khait<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-stoeren-ResInsight-news.pptx\">ResInsight: recent and future development<\/a>, Jacob St\u00f8ren<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2016\/06\/opm2016-engwer-exadune.pdf\">The EXA-Dune project<\/a>, Christian Engwer<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Technical presentations from the February 2015 OPM meeting in Trondheim<\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-blatt-parallel-cpr.pdf\">Parallel CPR-preconditioner in OPM<\/a>, Markus Blatt.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-kvalsvik-petsc.pdf\">OPM and PETSc<\/a>, J\u00f8rgen Kvalsvik.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-lauser-localized-linearization.pdf\">Localized linearization<\/a>, Andreas Lauser.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-persvold-numascale.pptx\">NumaConnect Technology<\/a>, Steffen Persvold.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-rasmussen-autodiff.pdf\">Use of automatic differentiation in OPM<\/a>, Atgeirr Fl\u00f8 Rasmussen.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-sandve-opm-status.pdf\">Status of simulation software in OPM<\/a>, Tor Harald Sandve.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2015-stoeren-resinsight.pptx\">ResInsight<\/a>, Jacob St\u00f8ren.<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">Technical presentations from the 2013 OPM symposium in Bergen<\/h6>\n\n\n\n<ul>\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Alf_Birger_Rustad-_Development_of_Reservoir_Simulator_Software.pdf\">Development of reservoir simulation software<\/a>, Alf Birger Rustad.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Andreas_Lauser-_Phase_Transitions_as_Non-Linear_Complementarity_Problems.pdf\">Phase transitions as non-linear complementarity problems<\/a>, Andreas Lauser.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Bard_Skaflestad-_Recent_Development_in_MRST.pdf\">Recent developments in MRST<\/a>, B\u00e5rd Skaflestad.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Joakim_Hove-_Misc_Topics_From_Statoil.pdf\">Misc. topics from Statoil<\/a>, Joakim Hove.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Kristin_Flornes_and_Atgeirr_Rasmussen-_Opm_Overview.pdf\">Opm overview<\/a>, Kristin Flornes and Atgeirr Rasmussen.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Lars_Vingli_Odsater-_Continuous_Integration_with_Jenkins.pdf\">Continuous integration with Jenkins<\/a>, Lars Vingli Ods\u00e6ter.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Markus_Blatt-_CMake_for_DUNE.pdf\">CMake as a build system for DUNE<\/a>, Markus Blatt.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Ove_Savareid-_Opm_as_a_Reservoir_Simulator.pdf\">OPM as a reservoir simulator<\/a>, Ove S\u00e6vareid.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Tor_Harald_Sandve-_Simulating_Fluid_Flow_in_MRST.pdf\">Simulating fluid flow in fractured reservoirs with MRST<\/a>, Tor Harald Sandve.<\/li>\n\n\n\n<li><a href=\"\/\/opm-project.org\/wp-content\/uploads\/2015\/11\/opm2013-Xavier_Raynaud-_Unconditionally_Stable_Transport_Solver_for_Polymer.pdf\">Unconditionally stable transport solver for polymer<\/a>, Xavier Raynaud.<\/li>\n<\/ul>\n<\/details>\n\n\n\n<p><div class=\"publications-list\" style=\"margin-left: 0; padding-left: 0;\"><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This page contains talks from OPM webinars and summits, as well as journal and conference articles that have been written using OPM Flow. Primary Publication:The Open Porous Media Flow reservoir simulator.&nbsp;Atgeirr Fl\u00f8 Rasmussen, Tor Harald Sandve, Kai Bao, Andreas Lauser, Joakim Hove, B\u00e5rd Skaflestad, Robert Kl\u00f6fkorn, Markus Blatt, Alf Birger Rustad, Ove S\u00e6vareid, Knut-Andreas Lie, &hellip; <a href=\"https:\/\/opm-project.org\/?page_id=39\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Talks and publications<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/opm-project.org\/index.php?rest_route=\/wp\/v2\/pages\/39"}],"collection":[{"href":"https:\/\/opm-project.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/opm-project.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/opm-project.org\/index.php?rest_route=\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/opm-project.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=39"}],"version-history":[{"count":126,"href":"https:\/\/opm-project.org\/index.php?rest_route=\/wp\/v2\/pages\/39\/revisions"}],"predecessor-version":[{"id":2079,"href":"https:\/\/opm-project.org\/index.php?rest_route=\/wp\/v2\/pages\/39\/revisions\/2079"}],"wp:attachment":[{"href":"https:\/\/opm-project.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=39"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}