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Preprints using MRST
The following list comprises preprints that extensively utilize MRST as a research tool. Notably, all papers are authored primarily by researchers not affiliated with the MRST development team at SINTEF.
Preprints
  1. G. Chen, J. Jiao, Q. Liu, Z. Wang, and Y. Jin. Machine learning-accelerated multi-objective design of fractured geothermal systems. arXiv:2411.00504.
  2. H. Ramachandran , I. de Jonge-Anderson , I. H. Musa, U. Nicholson, C. P. Tan, S. Geiger, and F. Doster. Rapid fault leakage modeling for CO2 storage in saline aquifers. EarthArXiv. DOI: 10.31223/X5S12N.
  3. D. Voulanas and E. Gildin. Rapid geological CO2 storage forecast and optimization: A data-driven dynamic mode decomposition model order reduction approach. arXiv:2407.20541.
  4. P. Pettersson, S. Krumscheid, and S. Gasda. Multi-objective optimization for multi-agent injection strategies in subsurface CO2 storage. arXiv.2406.07711.
  5. I. de Jonge-Anderson, H. Ramachandran, U. Nicholson, S. Geiger, A. Widyanita, and F. Doster. Storage efficiency and reduced complexity modelling. ResearchGate.
  6. L. Zhang, B. Guo, C. Qin, and Y. Xiong. A hybrid pore network-continuum modeling framework for flow and transport in 3D digital images of porous media. Earth ArXiv, 2023. DOI: 10.31223/X5QT1K.
  7. Z. Safari, R. Fatehi, R. Azin. Developing a numerical model for microbial methanation in a depleted hydrocarbon reservoir. Available at SSRN 4610140 and DOI: 10.2139/ssrn.4610140.
  8. D. Cao, M. Han, S. Ayirala, and S. Salah. Simulation of hybrid microsphere-smartwater recovery process for permeable carbonates. Available at SSRN: 4552037 or 10.2139/ssrn.4552037
  9. R. Rizzo, N. Forbes Inskip, H. Fazeli, P. Betlem, K. Bisdom, N. Kampman, J. Snippe, K. Senger, F. Doster, and A. Busch. Modelling geological CO2 leakage: Integrating fracture permeability and fault zone outcrop analysis. Available at SSRN: ssrn.com/abstract=4571419 or DOI 10.2139/ssrn.4571419.
  10. O. Chaabi and M.A. Kobaisi. Algorithmic monotone multiscale finite volume methods for porous media flow. arXiv:2308.06579, 2023.
  11. C.S. Lee, F.P. Hamon, N. Castelletto, P.S. Vassilevski, and J. A. White. Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media. arXiv:2308.00125.
  12. C. M. O'Sullivan, P. Rodriguez-Salgado, C. Childs, and P. M. Shannon. Subsurface storage capacity in underexplored sedimentary basins: Hydrogen and carbon dioxide storage on the Irish Atlantic margin. ResearchGate, May 2023. DOI: 10.31223/X5Z66F
  13. X. Ju, F.P. Hamon, G. Wen, R. Kanfar, M. Araya-Polo, and H.A. Tchelepi. Learning CO2 plume migration in faulted reservoirs with graph neural networks. arXiv:2306.09648.
  14. Y. Wang, M. Zechner, G. Wen, A. L. Corso, J. M. Mern, M. J. Kochenderfer, and J. K. Caers. Optimizing carbon storage operations for long-term safety. arXiv:2304.09352v1.
  15. F. V. Donze, L. Bourdet, L. Truche, C. Dusséaux, and P. Huyghe. Modeling deep control pulsing flux of native H2 throughout tectonic fault-valve systems. Authorea. November 30, 2022. DOI: 10.1002/essoar.10512945.1.
  16. O. Olorode and H. Rashid. Analytical modification of EDFM for transient flow in tight rocks. Research Square. DOI: 10.21203/rs.3.rs-1971564/v1.
  17. D. Landa-Marbán, K. Kumar, S. Tveit, and S.E. Gasda. Numerical studies of CO2 leakage remediation by MICP-based plugging technology. arXiv preprint arXiv:2105.04382, 2021.
  18. S. Dana, X. Zhao, and B. Jha. Two-grid method on unstructured tetrahedra: Applying computational geometry to staggered solution of coupled flow and mechanics problems. arXiv preprint arXiv:2102.04455, 2021
  19. D. Illiano, J.W. Both, I.S. Pop, and F.A. Radu. Efficient solvers for nonstandard models for flow and transport in unsaturated porous media. arXiv preprint arXiv:2012.14773, 2020.
  20. R. March, D. Egya, C. Maier, A. Busch, and F. Doster. Numerical computation of stress-permeability relationships of fracture networks in a shale rock. arXiv preprint arXiv:2012.02080, 2020.
  21. B. Wang. MRST-Shale: An open-source framework for generic numerical modeling of unconventional shale and tight gas reservoirs. Preprints 2020, 2020010080. DOI: 10.20944/preprints202001.0080.v1.
  22. L. Mosser, O. Dubrule, and M. J. Blunt. DeepFlow: History matching in the space of deep generative models. arXiv preprint arXiv:1905.05749, 2019.
  23. C. Xiao, O. Leeuwenburgh, H.X. Lin, A. Heemink. Subdomain POD-TPWL with local parameterization for large-scale reservoir history matching problems. arXiv preprint arXiv:1901.08059, 2019
  24. A. Capolei, L.H. Christiansen, and J.B. Jørgensen. Risk minimization in life-cycle oil production optimization. arXiv preprint arXiv:1801.00684, 2018
  25. M.M. Siraj, P.M.J. Van den Hof and J.D. Jansen. Asymmetric risk measures for optimizing economic performance of oil reservoirs. Submitted for publication in Journal of Process Control.
  26. M.M. Siraj, P.M.J. Van den Hof, and J.D. Jansen. Robust closed-loop reservoir management using residual analysis, Submitted for publication in Journal of Petroleum Science & Engineering, 2017.
  27. D. Stone, G. Lord. A positivity preserving convergent event based asynchronous PDE solver. arXiv preprint:1610.06800, 2016.

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Published February 18, 2017

Publications with MRST

The MRST textbooks

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