Talks and publications

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. Atgeirr Flø Rasmussen, Tor Harald Sandve, Kai Bao, Andreas Lauser, Joakim Hove, Bård Skaflestad, Robert Klöfkorn, Markus Blatt, Alf Birger Rustad, Ove Sævareid, Knut-Andreas Lie, Andreas Thune. Computers & Mathematics with Applications, published June 11 2020, https://doi.org/10.1016/j.camwa.2020.05.014

Journal Publications (21)
2025
  1. gpu-ISTL – Extending OPM Flow with GPU Linear Solvers. K.O. Lye, T.M. Andersen, A.F. Rasmussen, J. Torben. Journal of Open Source Software. doi.org/10.21105/joss.07740
  2. pyopmspe11: A Python framework using OPM Flow for the SPE11 benchmark project. D. Landa-Marbán, T.H. Sandve. Journal of Open Source Software. doi.org/10.21105/joss.07357
  3. Copula Modeling and Uncertainty Propagation in Field-Scale Simulation of CO2 Fault Leakage. P. Pettersson, E. Keilegavlen, T.H. Sandve, S.E. Gasda, S. Krumscheid. Water Resources Research. doi.org/10.1029/2024WR038073
2024
  1. Automated parameter tuning with accuracy control for efficient reservoir simulations. E. H. Sæternes, A. Thune, A. B. Rustad, T. Skeie, and X. Cai. Journal of Computational Science 75. doi.org/10.1016/j.jocs.2023.102205
2023
  1. A Second-Order Finite Volume Method for Field-Scale Reservoir Simulation. A. Kvashchuk, R. Klöfkorn, T.H. Sandve. Transport in Porous Media. doi.org/10.1007/s11242-023-01999-1
  2. Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. Thomas J. Grady, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann. Computers & Geosciences, 178, 105402 (2023). doi.org/10.1016/j.cageo.2023.105402
  3. Fast CO2 saturation simulations on large-scale geomodels with artificial intelligence-based Wavelet Neural Operators. Philipp A. Witte, Tugrul Konuk, Erik Skjetne, Ranveer Chandra. International Journal of Greenhouse Gas Control, 126, 103880 (2023). doi.org/10.1016/j.ijggc.2023.103880
  4. Intercomparison of numerical simulation models for hydrogen storage in porous media using different codes. Esuru Rita Okoroafor, Luiz Sampaio, Firdovsi Gasanzade, Yulman Perez Claro, Jimin D. Zhou, Sarah D. Saltzer, Sebastian Bauer, Anthony R. Kovscek. Energy Conversion and Management, 292, 117409 (2023). doi.org/10.1016/j.enconman.2023.117409
  5. It’s Possible That Salt Clogging Is Lowering Your Gas Production. Stephen Rassenfoss. Journal of Petroleum Technology, 75 (07): 32–36. doi.org/10.2118/0723-0032-JPT
  6. Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics-Informed Neural Network Model. Mingliang Liu, Divakar Vashisth, Dario Grana, Tapan Mukerji. Journal of Geophysical Research: Solid Earth (2023). doi.org/10.1029/2022JB025372
2022
  1. Practical field-scale simulation approaches for quantification of fault-related leakage under uncertainty. Sarah Gasda, Eirik Keilegavlen, Tor Harald Sandve, Runar Berge, Per Pettersson, Sebastian Krumscheid. 16th Greenhouse Gas Control Technologies Conference (GHGT-16), 23-24 Oct 2022. doi.org/10.2139/ssrn.4277020
  2. Field-scale impacts of long-term wettability alteration in geological CO2 storage. A.M. Kassa, S.E. Gasda, D. Landa-Marbán, T.H. Sandve, K. Kumar. International Journal of Greenhouse Gas Control. doi.org/10.1016/j.ijggc.2021.103556
  3. Dynamic PVT model for CO2-EOR black-oil simulations. T.H. Sandve, O. Sævareid, I. Aavatsmark. Computational Geosciences. doi.org/10.1007/s10596-022-10133-x
2021
  1. On the impact of heterogeneity-aware mesh partitioning and non-contributing computation removal on parallel reservoir simulations. A. Thune, X. Cai, A.B. Rustad. Journal of Mathematics in Industry. doi.org/10.1186/s13362-021-00108-5
  2. Hardware Acceleration of High-Performance Computational Flow Dynamics Using High-Bandwidth Memory-Enabled Field-Programmable Gate Arrays. T. Hogervorst, R. Nane, G. Marchiori, T.D. Qiu, M. Blatt, A.B. Rustad. ACM Transactions on Reconfigurable Technology and Systems. doi.org/10.1145/3476229
  3. CO₂ Convection in Hydrocarbon Under Flowing Conditions. Time S. Mykkeltvedt, Sarah E. Gasda, Tor Harald Sandve. Transport in Porous Media, 139: 155–170 (2021). doi.org/10.1007/s11242-021-01653-8
2020
  1. The Open Porous Media Flow reservoir simulator. Atgeirr Flø Rasmussen, Tor Harald Sandve, Kai Bao, Andreas Lauser, Joakim Hove, Bård Skaflestad, Robert Klöfkorn, Markus Blatt, Alf Birger Rustad, Ove Sævareid, Knut-Andreas Lie, Andreas Thune. Computers & Mathematics with Applications. doi.org/10.1016/j.camwa.2020.05.014
  2. Study on Validation of the OPM Reservoir Simulator by Comparative Solution Project. H. Fan, G. D. Westford, and G. Li. Petroleum & Petrochemical Engineering Journal (2020). doi.org/10.23880/ppej-16000241
2019
  1. Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling. Jiří Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Torrado, and Andrés Codas. Frontiers in Big Data (2019). doi.org/10.3389/fdata.2019.00033
2015
  1. Rate dependency in steady-state upscaling. Lars Hov Odsæter, Carl Fredrik Berg and Alf Birger Rustad. Transport in Porous Media, pp. 1-25. doi.org/10.1007/s11242-015-0573-y
2014
  1. Fast simulation of polymer injection in heavy-oil reservoirs on the basis of topological sorting and sequential splitting. K.-A. Lie, H. M. Nilsen, A. F. Rasmussen, and X. Raynaud. SPE Journal, Vol. 20, No. 2, pp. 306-323 (2014). doi.org/10.2118/163599-PA
Conference Publications (20)
2025
  1. Lessons Learned in Using Open-Source Simulation Software on Real Asset Models. E. Reiso, H. Hoegstoel, V. Kippe, T. Kløv, J.I. Logstein, A.B. Rustad, T. Skille, A.F Rasmussen, T.H Sandve, M. Blatt. SPE Reservoir Simulation Conference 2025. doi.org/10.2118/223851-MS
  2. A Comparison of DILU And ILU(0) as GPU-Accelerated Preconditioners. T.M. Andersen, J. Torben, K. O. Lye, A. F. Rasmussen, K. A. Lie. SPE Reservoir Simulation Conference 2025. doi.org/10.2118/223873-MS
  3. Incremental Machine Learning for Near-Well Prediction: A Non-Linear Preconditioning Approach to Faster History Matching. A. Lechevallier, T.H. Sandve, D. Landa-Marbán, B. Kane, S.E. Gasda. SPE Reservoir Simulation Conference 2025. doi.org/10.2118/223843-MS
  4. Everest™: An Open-Source Platform for Decision Making Under Uncertainties. R. G. Hanea, R. Oliveira, T. Popa, F. Feldmann, Ø. 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. SPE Reservoir Simulation Conference 2025. doi.org/10.2118/223850-MS
2024
  1. Regional CO2 Storage Simulations on the Troll Aquifer Model. S. Tveit, S. Gasda, D. Landa-Marbán, T.H. Sandve. SPE Norway Subsurface Conference, Bergen, Norway, April 2024. doi.org/10.2118/218433-MS
  2. Data-Driven Predictions of CO2 EOR Numerical Studies Using Machine Learning in an Open-Source Framework. J. R. Lliguizaca, D. Landa-Marbán, S. E. Gasda, T. H. Sandve, Z. P. Alcorn. SPE Norway Subsurface Conference 2024. doi.org/10.2118/218441-MS
  3. Impact of Intermittency on Salt Precipitation During CO2 Injection. D. Landa-Marbán, N. Zamani, T. H. Sandve, S. E. Gasda. SPE Norway Subsurface Conference 2024. doi.org/10.2118/218477-MS
  4. A hierarchical approach for modeling regional pressure interference in multi-site CO2 operations. Svenn Tveit, Sarah E. Gasda, David Landa-Marbán, Tor Harald Sandve. Geoenergy Science and Engineering, Volume 248, May 2025, 213733. doi.org/10.1016/j.geoen.2025.213733
  5. Efficient Computational Approaches to Quantify Hydrogen Leakage through Faults in Underground Hydrogen Storage. T.S. Mykkeltvedt, S. Tveit, T.H. Sandve, S. Gasda. ECMOR 2024, European Association of Geoscientists & Engineers, Volume 2024, p.1-14. doi.org/10.3997/2214-4609.202437059
  6. Closed-Loop Reservoir Management Using Fast Data-Calibrated Coarse Models. T.H. Sandve, R.J. Lorentzen, D.L. Marban, K. Fossum. ECMOR 2024. doi.org/10.3997/2214-4609.202437071
  7. Distributed Field-Scale Parallel Nonlinear Domain Decomposition Solver. A. Rasmussen, O. Moyner, B. Skaflestad, K. Lie, J. Torben, A. Moncorgé, V. Kippe. ECMOR 2024. doi.org/10.3997/2214-4609.202437058
  8. A Machine-Learned Near-Well Model in OPM Flow. P. Von Schultzendorff, T.H. Sandve, B. Kane, D. Landa-Marbán, J.W. Both, J.M. Nordbotten. ECMOR 2024. doi.org/10.3997/2214-4609.202437033
2023
  1. Constrained Pressure Residual Preconditioner Including Wells for Reservoir Simulation. H. M. Nilsen, E. Ahmed, A. F. Rasmussen, K. Bao, T. Skille. SPE Reservoir Simulation Conference 2023. doi.org/10.2118/212172-MS
  2. Salt Precipitation and Water Evaporation Modelling in a Black-Oil Reservoir Simulator. Cintia Goncalves Machado, Paul Egberts, Jostein Alvestad, Odd Steve Hustad. SPE Reservoir Simulation Conference 2023. doi.org/10.2118/212257-MS
2022
  1. History Matching Field Scale Model Using LET Based Relative Permeability. T.H. Sandve, O. Sævareid, F. Lomeland, R.J. Lorenzen. ECMOR 2022, European Association of Geoscientists & Engineers, Volume 2022, p.1-9. doi.org/10.3997/2214-4609.202244030
  2. Simulators for the Gigaton Storage Challenge. A Benchmark Study on the Regional Smeaheia Model. T.H. Sandve, A.B. Rustad, A. Thune, B. Nazarian, S. Gasda and A.F. Rasmussen. EAGE GeoTech 2022. doi.org/10.3997/2214-4609.20224033
2021
  1. Convective Dissolution in Field Scale CO2 Storage Simulations Using the OPM Flow Simulator. T.H Sandve, S.E Gasda, A.F. Rasmussen, A.B Rustad. TCCS-11, 2021. hdl.handle.net/11250/2780667
2018
  1. Open reservoir simulator for CO2 storage and CO2-EOR. Tor Harald Sandve, Atgeirr Flø Rasmussen, Alf Birger Rustad. 14th Greenhouse Gas Control Technologies Conference Melbourne, 2018. doi.org/10.2139/ssrn.3366137
  2. Well Control Optimization Of The OLYMPUS Case Using MRST And OPM. S. Krogstad, H.M. Nilsen, O. Møyner and A.F. Rasmussen. EAGE/TNO Workshop on OLYMPUS Field Development Optimization 2018. doi.org/10.3997/2214-4609.201802287
  3. Local forward- mode automatic differentiation for high performance parallel pilot-level reservoir simulation. Andreas Lauser, Atgeirr Flø Rasmussen, Tor Harald Sandve, Halvor Møll Nilsen. ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery, 2018. doi.org/10.3997/2214-4609.201802153
Talks

Talks

Presentations from the December 2024 Webinar on CO2 simulation with OPM Flow

The presentations are available on the webinar page.

Presentations from the April 2024 OPM summit in Oslo

The presentations are available on the program page, linked from each talk separately.

Presentations from the September 2023 online CO2 webinar

These are found at this post.

Presentations from the August 2022 OPM summit in Trondheim

These are available on the program page for the meeting, linked within the program itself.

Presentations from the February 2020 OPM meeting in Eichstätt
Presentations from the January 2019 OPM summit in Utrecht
Presentation from the December 2017 EU-MATHS-IN workshop in Leiden
Presentations from the October 2017 OPM meeting in Bergen
OPM-related presentation from SIAM Geosciences 2017
OPM presentations fron the May 2017 MSO4SC workshop in Budapest
Presentations from the June 2016 OPM meeting in Oslo
Technical presentations from the February 2015 OPM meeting in Trondheim
Technical presentations from the 2013 OPM symposium in Bergen