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Journal papers using MRST
The following list comprises journal papers 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.
2024
  1. J. Shu, G. Han, Z. Yue, L. Cheng, Y. Dong, X. Liang. Optimizing well trajectories for enhanced oil production in naturally fractured reservoirs: Integrating particle swarm optimization with an innovative semi-analytical model framework. SPE Journal, 1–19. DOI: 10.2118/223939-PA.
  2. J. Iranzi, D.E. Rwabuhungu Rwatangabo, H. Son. Evaluation of the physical and economic potential of surfactant-based CO₂ capture and storage in a saline aquifer. Journal of Industrial and Engineering Chemistry, 2024, In Press. DOI: 10.1016/j.jiec.2024.12.018.
  3. J. Wang, Y. Liu, N. Zhang. Advancing practical geological CO₂ sequestration simulations through transfer learning integration and physics-informed networks. Gas Science and Engineering, 2025, 134, 205523. DOI: 10.1016/j.jgsce.2024.205523.
  4. M. Gao, W. Sun, J. Xu, J. Li. Reduced-order modeling for subsurface flow simulation in fractured reservoirs. SPE Journal, 2025, 1–18. DOI: 10.2118/223949-PA.
  5. W. Ling, B. Jafarpour. Improving the parameterization of complex subsurface flow properties with style-based generative adversarial network (StyleGAN). Water Resources Research, 2024. DOI: 10.1029/2024WR037630.
  6. C. Ye, S. Fu, E.T. Chung, J. Huang. A highly parallelized multiscale preconditioner for Darcy flow in high-contrast media. Journal of Computational Physics, 2025, 522, 113603. DOI: 10.1016/j.jcp.2024.113603.
  7. T. Zhang, J. Guo, J. Zeng, H. Zhang, Z. Zhao, F. Zeng, W. Wang. A transient source-function-based embedded discrete fracture model for simulation of multiscale-fractured reservoir: Application in coalbed methane extraction. Gas Science and Engineering, 2025, 133, 205500. DOI: 10.1016/j.jgsce.2024.205500.
  8. J. Tu, H. Yang, R. Chen, L. Luo. Fully implicit bound-preserving discontinuous Galerkin algorithm with unstructured block preconditioners for multiphase flows in porous media. Advances in Water Resources, 2024, 194, 104844. DOI: 10.1016/j.advwatres.2024.104844.
  9. A. Bahmaee, Y. Masuda, S. Murata. Numerical modelling of CO2-in-water emulsion injection into a water-saturated core. Gas Science and Engineering, 2024, 131, 205485. DOI: 10.1016/j.jgsce.2024.205485.
  10. E.M. Kanakaki, I. Ismail, V. Gaganis. Accelerating numerical simulations of CO2 geological storage in deep saline aquifers via machine-learning-driven grid block classification. Processes, 2024, 12(11), 2447. DOI: 10.3390/pr12112447.
  11. D. Shi, S. Cheng, Q. Wang, D. Liu, F. Yin, X. Xu, X. Guo, Z. Weng. Comparative analysis and application of mass and heat transfer simulation in fractured reservoirs based on two fracture models. Processes, 2024, 12(11), 2399. DOI: 10.3390/pr12112399.
  12. A. Bahmaee, Y. Masuda, S. Murata. Numerical modelling of CO2-in-water emulsion injection into a water-saturated core. Gas Science and Engineering. 2024. DOI: 10.1016/j.jgsce.2024.205485.
  13. C. Xiao, T. Liu, L. Zhang, Z. Li. Use of deep-learning-accelerated gradient approximation for reservoir geological parameter estimation. Processes. 2024, 12(10), 2302. DOI: 10.3390/pr12102302.
  14. L. Wu, J. Wang, D. Jia, R. Zhang, J. Zhang, Y. Yan, S. Wang. A multi-scale numerical simulation method considering anisotropic relative permeability. Processes. 2024, 12(9), 2058. DOI: 10.3390/pr12092058.
  15. P. Jia, H. Guo, H. Gao. Studying the impact of pore sizes on gas flow and distribution in volatile carbonate reservoirs using a new triple-porosity model. Physics of Fluids. 2024, 36, 103103. DOI: 10.1063/5.0226865.
  16. Z. Zhou, H. Jia, R. Zhang, B. Ding, X. Geng. Three dimensional time-variation simulator for water flooding reservoir based on “effective water flux”. Physics of Fluids. 2024, 36, 103101. DOI: 10.1063/5.0223534.
  17. L. Wang, R. Deng, L. Zhang, J. Qu, H. Wang, L. Zhang, X. Zhao, B. Xu, X. Lv, C.D. and Adenutsi. A novel surrogate-assisted multi-objective well control parameter optimization method based on selective ensembles. Processes. 2024, 12(10), 2140. DOI: 10.3390/pr12102140.
  18. M. Lu, Q. Qian, A. Zhong, F. Yang, W. He, and M. Li, High-precision flow numerical simulation and productivity evaluation of shale oil considering stress sensitivity, Fluid Dynamics and Materials Processing, vol. 20, no. 10, 2024, pp. 2281-2300. DOI: 10.32604/fdmp.2024.051594.
  19. J. Iranzi, Y. C. Park, and H. Son, Coupling effects of surfactant-induced interfacial tension reduction and wettability alteration in CO2 storage. Energy & Fuels, 2024. DOI: 10.1021/acs.energyfuels.4c03431.
  20. J. A. Fernandes, J. S. Azevedo, and S. P. Oliveira. A combined Markov Chain Monte Carlo and Levenberg–Marquardt inversion method for heterogeneous subsurface reservoir modeling. Discover Applied Sciences, 2024. DOI: 10.1007/s42452-024-06214-4.
  21. J. Bao, H. Yoon, and J. Lee. CO storage site characterization using ensemble-based approaches with deep generative models. Geoenergy Science and Engineering, 2024. DOI: 10.1016/j.geoen.2024.213294.
  22. X. Liu, S. Geng, J. Sun, Y. Li, Q. Guo, and Q. Zhan. Novel coupled hydromechanical model considering multiple flow mechanisms for simulating underground hydrogen storage in depleted low-permeability gas reservoir. International Journal of Hydrogen Energy, Volume 85, October 2024, Pages 526-538. DOI: 10.1016/j.ijhydene.2024.08.366.
  23. L. Shi, H. Yang, Z. Ji, L. Jiang, and C. Yang. Field-split preconditioned active-set reduced-space algorithm for complex black oil reservoir simulation at large-scale. Journal of Computational Physics, Vol. 517, 2024, 113362. DOI: 10.1016/j.jcp.2024.113362.
  24. D. Shi, S. Cheng, W. Bai, X. Liu, and D. Cai. Numerical simulation of fracture propagation induced by water injection in tight oil reservoirs. Processes, 2024, 12(8), 1767; 10.3390/pr12081767.
  25. F. Yu, R. Han, and K. Xu. Countercurrent imbibition in porous media with dense and parallel microfractures: Numerical and analytical study. SPE Journal, 2024. DOI: 10.2118/223094-PA.
  26. H. Jia, H. Yu, T. Wang, P. Song, J. Song, and Y. Wang. Investigation of non-chemical CO2 microbubbles for enhanced oil recovery and carbon sequestration in heterogeneous porous media. Geoenergy Science and Engineering, 2024. DOI: 10.1016/j.geoen.2024.213229.
  27. W. Xi, A.U. Kumaran, Y.H. Gholami, R.T. Armstrong, Y. Jing, J. Esterle, K. R. Lieband, and P. Mostaghimi. Gas-water flow in fractured coal revealed by multimodal imaging. International Journal of Coal Geology, Vol. 293, October 2024, 104586. DOI: 10.1016/j.coal.2024.104586.
  28. S. Mohd Razak, J. Cornelio, Y. Cho, H.H. Liu, R. Vaidya, and B. Jafarpour. Dynamic physics-guided deep learning for long-term production forecasting in unconventional reservoirs. SPE Journal, 2024. DOI: 10.2118/221474-PA.
  29. Z. Jia, R. Cao, B. Pu, L. Cheng, P. Li, A.A. Awotunde, Y. Lin, Q. Pan, and Y. Sun. Effects of non-equilibrium phase behavior in nanopores on multi-component transport during CO2 injection into shale oil reservoir. Energy, 2024. DOI: 10.1016/j.energy.2024.132614.
  30. X. Liu, S. Cheng, Y. Cui, Y. Wang, and C. Wei. A dynamic pre-Darcy model and its application in the numerical simulation of enhanced geothermal system. Geoenergy Science and Engineering, 2024. DOI: 10.1016/j.geoen.2024.213193.
  31. Wang, Y., Flauraud, E., Michel, A. et al. A numerical model for offshore Geological Carbon Storage (GCS) undergoing hydrate formation. Computational Geosciences, 2024. DOI: 10.1007/s10596-024-10311-z.
  32. F.O. Alpak, M. Jammoul, M.F. Wheeler, and K. Onyeagoro. Less-intrusive consistent discretization methods for reservoir simulation on cut-cell grids–algorithms, implementation, and testing. Computational Geosciences, 2024. DOI: 10.1007/s10596-024-10299-6.
  33. H. Jia, H. Yu, S. Wang, J. Shi, F. Xie, S. Wang, J. Lu, Y. Wang, and F. Zhang. Investigation of CO2 microbubble assisted carbon sequestration and gravity-induced microbubble ripening in low permeability reservoirs. Applied Energy Volume 373, 1 November 2024, 123954. DOI: 10.1016/j.apenergy.2024.123954.
  34. Y. Wang, Z. Lei, Z. Xu, Y. Liu, X. Pan, Y. Wang, and P. Liu. A compositional numerical study of vapor–liquid-adsorbed three-phase equilibrium calculation in a hydraulically fractured shale oil reservoir Physics of Fluids, 36, 072007, 2024. DOI: 10.1063/5.0214453.
  35. A. Heshmati and M. Taghizadeh Manzari. An integrated approach for simulation of two-phase flows in naturally fractured reservoirs using embedded discrete fracture model and aerial image processing. Sharif Journal of Civil Engineering. DOI: 10.24200/J30.2024.64497.3331.
  36. T. Nan, J. Zhang, Y. Xie, C. Cao, J. Wu, and C. Lu. Effective characterization of fractured media with PEDL: A deep learning‐based data assimilation approach Water Resources Research, 2024. DOI: 10.1029/2023WR036673.
  37. Y. Song, Z. Song, Z. Chen, Y. Mo, Q. Zhou, and S. Tian. Simulation of CO2 enhanced oil recovery and storage in shale oil reservoirs: Unveiling the impacts of nano-confinement and oil composition. Advances in Geo-Energy Research, Vol. 23, No. 2, 2024. DOI: 10.46690/ager.2024.08.05.
  38. J.L. Hernandez-Mejia, M. Imhof, and M.J. Pyrcz. Anomaly detection for geological carbon sequestration monitoring. International Journal of Greenhouse Gas Control Volume 136, July 2024, 104188. DOI: 10.1016/j.ijggc.2024.104188.
  39. W. Xiong, Y.L. Zhao, S.M. Wen, B.N. Zhang, X. Huang, Y.-C.Wang, and T. Zhang. Influence of diffusion, adsorption, connate water, and salinity on enhanced gas recovery and carbon storage reservoir simulations. Energy Fuels, 2024. DOI: 10.1021/acs.energyfuels.4c01869.
  40. J. Chen, J.Y. Leung, and M. van der Baan. Characterization of low-frequency distributed acoustic sensing signals in hydraulic fracturing stimulation – A coupled flow-geomechanical simulation approach. Geomechanics for Energy and the Environment, Volume 39, September 2024, 100574. DOI: 10.1016/j.gete.2024.100574.
  41. M.M. Morales, C. Torres-Verdín, C. and M.J. Pyrcz. Stochastic pix2vid: A new spatiotemporal deep learning method for image-to-video synthesis in geologic CO storage prediction. Computational Geosciences, 20242. DOI: 10.1007/s10596-024-10298-7.
  42. X. Zhao, Z. Chen, L. Zhang, X. Liao, and A.A. Awotunde. Leakage risk assessment on sealing efficiency of caprock during CO2 huff-n-puff for safe sequestration. Geoenergy Science and Engineering. Volume 240, September 2024, 213056. DOI: 10.1016/j.geoen.2024.213056.
  43. M. Zhang, H. Yang, Y. Liu, R. Li. Multilevel Schur-complement algorithms for scalable parallel reservoir simulation with temperature variation. Computer Physics Communications, Volume 304, November 2024, 109296. DOI: 10.1016/j.cpc.2024.109296.
  44. I. de Jonge-Anderson, H. Ramachandran, U. Nicholson, S. Geiger, A. Widyanita, and F. Doster. Determining CO2 storage efficiency within a saline aquifer using reduced complexity models. Advances in Geo-Energy Research, 2024, 13(1): 22-31. DOI: 10.46690/ager.2024.07.04.
  45. M. K. Marvin, Z. M. Sarkinbaka, V. I. Fagorite, and Y. Ishaku. An echo state network approach to data-driven modeling and optimal control of carbonate reservoirs with uncertainty fields. Geoenergy Science and Engineering Volume 239, August 2024, 212996. DOI: 10.1016/j.geoen.2024.212996.
  46. D. Lauzon. A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems. Advances in Water Resources, Volume 189, July 2024, 104726. DOI: 10.1016/j.advwatres.2024.104726.
  47. R. R. Nazaraliyev, A. I. Humbatov, and A. E. Mammadova. Numerical modelling of surfactant-polymer flooding combined with low salinity water flooding in MATLAB: Case study in Neft Dashları. Perm Journal of Petroleum and Mining Engineering. Vol 24, No 1, 2024. DOI: 10.15593/2712-8008/2024.1.5.
  48. B. Zhou, Z. Chen, Z. Song, Z. Tang, B. Wang, and O. Olorode. A new analytically modified embedded discrete fracture model for pressure transient analysis in fluid flow Journal of Hydrology, Volume 636, June 2024, 131330. DOI: 10.1016/j.jhydrol.2024.131330.
  49. J.W.L. Silva, M.D. Santos, and G.P. Oliveira. Generalized functionals for qualification of geological carbon storage injection sites. International Journal of Greenhouse Gas Control, Volume 135, 2024, 104167. DOI: 10.1016/j.ijggc.2024.104167.
  50. T. Cheng, H. Yang, J. Huang, and C. Yang. Adaptive space-time domain decomposition for multiphase flow in porous media with bound constraints. SIAM Journal on Scientific Computing, 2024. DOI: 10.1137/23M1578139.
  51. Z. Safari, R. Fatehi, and R. Azin. Developing a numerical model for microbial methanation in a depleted hydrocarbon reservoir. Renewable Energy, 2024. DOI: 10.1016/j.renene.2024.120426.
  52. Q. Wang, Y. Wang, K. Wang, J. Zhao, Y. Hu, and Y. Li. Evolution law of stress induced by pressure depletion in fractured shale reservoirs: Implications for subsequent refracturing and infill well development. Petroleum, 2024. DOI: 10.1016/j.petlm.2024.04.001.
  53. B. Zhou, Z. Chen, X. Zhao, B. Wang, H. Wang, and K. Sepehrnoori. A three-dimensional numerical well-test model for pressure transient analysis in fractured horizontal wells with secondary fractures. Physics of Fluids, Volume 227, June 2024, 120426. DOI: 10.1063/5.0203853.
  54. M. Petrosyants, V. Trifonov, E. Illarionov, and D. Koroteev. Speeding up the reservoir simulation by real time prediction of the initial guess for the Newton-Raphson's iterations. Computational Geosciences, 2024. DOI: 10.1007/s10596-024-10284-z.
  55. M.K. Marvin, A.B. Ngulde, and Z.M. Sarkinbaka. Optimal control of multilateral waterflooding wells in carbonate reservoirs with uncertainty consideration. Petroleum Science and Technology, 2024. DOI: 10.1080/10916466.2024.2326174.
  56. A.K.L. Limaluka, Y. Elakneswaran, and N. Hiroyoshi. Macroscale modeling of geochemistry influence on polymer and low-salinity waterflooding in carbonate oil reservoirs. ACS Omega, 2024. DOI: 10.1021/acsomega.3c10022 .
  57. Y. Liu, S. Yang, N. Zhang, J. Cao, and C. Guo. Simulation enhancement GAN for efficient reservoir simulation at fine scales. Mathematical Geosciences, 2024. DOI 10.1007/s11004-024-10136-7.
  58. H.U. Rashid and O. Olorode. Use of controlled fractures in enhanced geothermal systems. Advances in Geo-Energy Research, Vol. 12, No. 1, 2024. DOI: 10.46690/ager.2024.04.04.
  59. R. E. Rizzo, N. F. 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, International Journal of Greenhouse Gas Control, Volume 133, 2024, 104105. DOI: 10.1016/j.ijggc.2024.104105.
  60. Q. Wang, D. Zhang, Y. Li, C. Li, and H. Tang. Numerical simulation study of CO2 storage capacity in deep saline aquifers. Science and Technology for Energy Transition, 2024. DOI: 10.2516/stet/2024005.
  61. X. Ma, J. Zhao, D. Zhou, K. Zhang, and Y. Tian. Deep graph learning-based surrogate model for inverse modeling of fractured reservoirs. Mathematics, 2024. DOI: 10.3390/math12050754.
  62. M.K. Marvin, A.B. Ngulde, and Z.M. Sarkinbaka. Comparative study on the optimal control of smart well in oil reservoir waterflooding with uncertainty. Geosystem Engineering, 2024. DOI: 10.1080/12269328.2024.2314767.
  63. J. Jiang. Simulating multiphase flow in fractured media with graph neural networks. Physics of Fluids 36, 023115 (2024). DOI: 10.1063/5.0189174.
  64. Y.Z. Wang, R.Y. Cao, Z.H. Jia, B.Y. Wang, M. Ma, and L.S. Cheng. A multi-mechanism numerical simulation model for CO2-EOR and storage in fractured shale oil reservoirs. Petroleum Science, 2024. DOI: 10.1016/j.petsci.2024.02.006.
  65. S. Anyosa, J. Eidsvik, and D. Grana. Evaluating geophysical monitoring strategies for a CO2 storage project. Computers & Geosciences, 2024. DOI: 10.1016/j.cageo.2024.105561
  66. H. Yang, R. Li, and C. Yang. Nonlinearly constrained pressure residual (NCPR) algorithms for fractured reservoir simulation. SIAM Journal on Scientific Computing, Vol. 46, Iss. 1, 2024. DOI: 10.1137/22M1516294.
  67. D. Cao, S. Ayirala, M. Han, and S. Salah. Simulation of hybrid Microsphere-SmartWater recovery process for permeable carbonates. Geoenergy Science and Engineering, 2024. DOI: 10.1016/j.geoen.2024.212696.
  68. F.V. Donzé, L. Bourdet, L. Truche, C. Dusséaux, P. Huyghe, Modeling deep control pulsing flux of native H2 throughout tectonic fault-valve systems, International Journal of Hydrogen Energy, Volume 58, pp. 1443-1456, 2024. DOI: 10.1016/j.ijhydene.2024.01.178.
  69. J. Wu, L. Zhang, Y. Liu, K. Ma, and X. Luo. Effect of displacement pressure gradient on oil–water relative permeability: experiment, correction method, and numerical simulation. Processes, 2024. DOI: 10.3390/pr12020330.
  70. B. Yan, Z. Zhong, and B. Bai. A convolutional neural network-based proxy model for field production prediction and history matching. Gas Science and Engineering, 2024. DOI: 10.1016/j.jgsce.2024.205219.
  71. M. Haugen, L. Salo-Salgado, K. Eikehaug, B. Benali, J. W. Both, E. Storvik, O. Folkvord, R. Juanes, J. M. Nordbotten, and M. A. Ferno. Physical variability in meter-scale laboratory CO2 injections in faulted geometries. Transport in Porous Media, 2024. DOI: 10.1007/s11242-023-02047-8.
  72. A. Rovelli, J. Brodie, B. Rashid, W.J. Tay, and R. Pini. Effects of core size and surfactant choice on fluid saturation development in surfactant/polymer corefloods. Energy & Fuels, 2024. DOI: 10.1021/acs.energyfuels.3c04313.
  73. Z. X. Leong, T. Zhu., and A. Y. Sun. Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II site. International Journal of Greenhouse Gas Control Volume 132, February 2024, 104058. DOI: 10.1016/j.ijggc.2024.104058.
  74. Q. Zhang, H. Li, Y. Li, H. Wang, and K. Lu. A dynamic permeability model in shale matrix after hydraulic fracturing: considering mineral and pore size distribution, dynamic gas entrapment and variation in poromechanics. Processes, 2024, 12(1), 117. DOI: 10.3390/pr12010117.
  75. J. Dai, K. Tian, Z. Xue, S. Ren, T. Wang, J. Li, and S. Tian. CO2-enhanced radial borehole development of shale oil: production simulation and parameter analysis Processes, 2024, 12(1), 116. DOI: 10.3390/pr12010116.
  76. T. Esfandi, S. Sadeghnejad, and A. Jafari. Effect of reservoir heterogeneity on well placement prediction in CO2-EOR projects using machine learning surrogate models: Benchmarking of boosting-based algorithms. Geoenergy Science and Engineering, Volume 233, February 2024, 212564. DOI: 10.1016/j.geoen.2023.212564.
  77. E Sarı, and E Çiftçi. Underground hydrogen storage in a depleted gas field for seasonal storage: A numerical case study of the Tekirdağ gas field. Fuel, Volume 358, Part B, 15 February 2024, 130310. DOI: 10.1016/j.fuel.2023.130310.
  78. H.U. Rashid and O. Olorode. A continuous projection-based EDFM model for flow in fractured reservoirs. SPE Journal, 29 (01): 476–492, 2024. DOI: 10.2118/217469-PA.
2023
  1. K. Jiao, D. Han, Y. Chen, B. Bai, B. Yu, and S. Wang, The enriched-embedded discrete fracture model (nEDFM) for fluid flow in fractured porous media, Advances in Water Resources, Volume 184, 2024, 104610, DOI: 10.1016/j.advwatres.2023.104610.
  2. X. Liu, S. Geng, P. Hu, Y. Li, R. Zhu, S. Liu, Q. Ma, C. Li. Blasingame production decline curve analysis for fractured tight sand gas wells based on embedded discrete fracture model. Gas Science and Engineering, 2023. DOI: 10.1016/j.jgsce.2023.205195.
  3. V. Putra and K. Furui. Phase-field modeling of coupled thermo-hydromechanical processes for hydraulic fracturing analysis in enhanced geothermal systems. Energies, 2023. 16(24), 7942; DOI: 10.3390/en16247942.
  4. G. Cao, M. Lin, L. Zhang, L. Ji, and W. Jiang. Numerical simulation of the dynamic migration mechanism and prediction of saturation of tight sandstone oil. Science China Earth Sciences, 67, 2023. DOI: 10.1007/s11430-023-1202-1.
  5. J.O. Helland, H.A. Friis, M. Assadi, Ł. Klimkowski, and S. Nagy. Prediction of optimal production time during underground CH4 storage with cushion CO2 using reservoir simulations and artificial neural networks. Energy & Fuels, 2023
  6. E. Sarı and E Çiftçi. A numerical investigation on the utilization of a depleted natural gas field for seasonal hydrogen storage: A case study for Değirmenköy gas field. International Journal of Hydrogen Energy, 2023. DOI: 10.1016/j.ijhydene.2023.11.090
  7. D. Han, W. Zhang, K. Jiao, B. Yu, T. Li, L. Gong, S. Wang. Thermal‒hydraulic‒mechanical‒chemical coupling analysis of enhanced geothermal systems based on an embedded discrete fracture model. Natural Gas Industry B, 2023. DOI: 10.1016/j.ngib.2023.10.001.
  8. Y. Ma, Z. Kang, X. Lei, X. Chen, C. Gou, Z. Kang, and S. Wang. Coupling effect of critical properties shift and capillary pressure on confined fluids: A simulation study in tight reservoirs. Heliyon 9 (2023) e15675. DOI: 10.1016/j.heliyon.2023.e15675.
  9. A. Shojaee, S. Kord, R. Miri, and O. Mohammadzadeh. Reactive transport modeling of scale precipitation and deposition during incompatible water injection in carbonate reservoirs. Journal of Petroleum Exploration and Production Technology, 2023. DOI: 10.1007/s13202-023-01715-1.
  10. Y. Zhang, Y. Wang, J. Gao, Y. Cui, and S. Wang. Study of the influence of dynamic and static capillary forces on production in low-permeability reservoirs. Energies 2023, 16(3), 1554. DOI: 10.3390/en16031554.
  11. M. J. Dall’Aqua, E. J. R. Coutinho, E. Gildin, Z. Guo, H. Zalavadia, and S. Sankaran. Guided deep learning manifold linearization of porous media flow equations. SPE Journal, 2023. DOI: 10.2118/212204-PA.
  12. F. Meng, Y. Wang, X. Song, M. Hao, G. Qin, Y. Qi, Z. Ma, and D. Wang. Numerical simulation of fracture flow interaction based on discrete fracture model. Processes 2023, 11, 3013. DOI: 10.3390/pr11103013.
  13. S. Jia. An integrated machining learning-based workflow for CO2 sequestration optimization under geological uncertainty. International Journal of Engineering Technology and Construction, 2023, 4(2). DOI: 10.38007/IJETC.2023.040204.
  14. A. M. Hassan, E. W. Al-Shalabi, W. AlAmeri, M. S. Kamal, S. Patil, and S. M. Shakil Hussain. New insights into hybrid low salinity polymer (LSP) flooding through a coupled geochemical-based modeling approach. SPE Resevoir Evaluation & Engineering, 2023. DOI: 10.2118/210120-PA.
  15. P. Cornelissen, and J.D. Jansen. Steady-state flow through a subsurface reservoir with a displaced fault and its poro-elastic effects on fault stresses. Transport in Porous Media, 2023. DOI: 10.1007/s11242-023-02029-w.
  16. F. Nazari, S.A. Nafchi, E.V. Asbaghi, R. Farajzadeh, and V. J. Viasar. Impact of capillary pressure hysteresis and injection-withdrawal schemes on performance of underground hydrogen storage. International Journal of Hydrogen Energy. DOI: 10.1016/j.ijhydene.2023.09.136.
  17. T. Cheng, H. Yang, J. Huang, and C. Yang. Nonlinear parallel-in-time sim. ulations of multiphase flow in porous media Journal of Computational Physics, 2023. DOI: 10.1016/j.jcp.2023.112515.
  18. N. Wang, Q. Liao, H. Chang, and D. Zhang. Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network.. Computational Geosciences. DOI: 10.1007/s10596-023-10233-2.
  19. S. M. Mousavi, P. Bakhtiarimanesh, F. Enzmann, M. Kersten, and S. Sadeghnejad. Machine-learned surrogate models for efficient oil well placement under operational reservoir constraints. SPE Journal. DOI: 10.2118/217467-PA.
  20. Z. Xu, J.Chen, and J. Y. Leung. An improved dual-porosity dual-permeability modeling workflow for representing nonplanar hydraulic fractures. Gas Science and Engineering Volume 118, October 2023, 205108. DOI: 10.1016/j.jgsce.2023.205108.
  21. S. Fu, E. Chung, and L. Zhao. An efficient multiscale preconditioner for large-scale highly heterogeneous flow. SIAM Journal on Scientific Computing, 2023. DOI: 10.1137/22M1502859.
  22. Z. Xiang, R. Zhen, Y. Xu, S. Wang, X. Ao, Z. Chen, and J. Hu. A numerical pressure transient model of fractured well with complex fractures of tight gas reservoirs considering gas-water two phase by EDFM. Geoenergy Science and Engineering. DOI: 10.1016/j.geoen.2023.212286.
  23. J.S. Azevedo and J.A. Fernandes. The parameter inversion in coupled geomechanics and flow simulations using Bayesian inference. Journal of Computational Mathematics and Data Science. DOI: 10.1016/j.jcmds.2023.100083.
  24. L. Saló-Salgado, M. Haugen, K. Eikehaug, M. Fernø, J. M. Nordbotten, and R. Juanes. Direct comparison of numerical simulations and experiments of CO2 injection and migration in geologic media: Value of local data and forecasting capability. Transport in Porous Media. DOI: 10.1007/s11242-023-01972-y.
  25. B. Flemisch, J. M. Nordbotten, M. Fernø et al. The FluidFlower validation benchmark study for the storage of CO2. Transport in Porous Media. DOI: 10.1007/s11242-023-01977-7.
  26. T. Alyousuf, Y. Li, R. Krahenbuhl, and D. Grana. Three-axis borehole gravity monitoring for CO2 storage using machine learning coupled to fluid flow simulator. Geophysical Prospecting. DOI: 10.1111/1365-2478.13413.
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2022
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2021
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2020
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  15. D. Stone, S. Geiger, G. Lord. Asynchronous discrete event schemes for PDEs. Journal of Computational Physics, Volume 342, pp. 161-176, August 2017,. DOI: 10.1016/j.jcp.2017.04.026
  16. L. Zhang, X. Zhang, K. Zhang, H. Zhang, J. Yao. Inversion of fractures with combination of production performance and in-situ stress analysis data. Journal of Natural Gas Science and Engineering, Volume 42, pp. 232-242, 2017. DOI: 10.1016/j.jngse.2017.03.002
  17. E. Ahmed, J. Jaffré, J.E. Roberts, A reduced fracture model for two-phase flow with different rock types, Mathematics and Computers in Simulation, Volume 137, pp. 49-70, 2017. DOI: 10.1016/j.matcom.2016.10.005.
  18. A. Benali, A. Bacetti, A. Belkherroubi, H. Harhad, and S. Fasla-Louhibi, S. Fluid flow simulation through a naturally fractured reservoir with Matlab & Eclipse software. Nature & Technology, Vol. 16, pp. 21-29, 2017.
  19. K.G. Hanssen, A. Codas, and B. Foss. Closed-loop predictions in reservoir management under uncertainty. SPE Journal, Volume 22, Issue 05, pp. 1585-1595, 2017. DOI: 10.2118/185956-PA
  20. A. Singh, N.M. Reddy, and P. Tiwari. Petroleum Reservoir Simulation of Two-Phase Flow. In: Saha A., Das D., Srivastava R., Panigrahi P., Muralidhar K. (eds) Fluid Mechanics and Fluid Power - Contemporary Research. Lecture Notes in Mechanical Engineering. Springer, New Delhi. DOI: 10.1007/978-81-322-2743-4_89
  21. F. Hourfar, B. Moshiri, K. Salahshoor, A. Elkamel, Real-time management of the waterflooding process using proxy reservoir modeling and data fusion theory. Computers & Chemical Engineering, Volume 106, pp. 339-354, 2017, DOI: 10.1016/j.compchemeng.2017.06.018.
  22. G.J. Lord and D. Stone. New efficient substepping methods for exponential timestepping. Applied Mathematics and Computation, Volume 307, pp. 342 -365, August 2017. DOI: 10.1016/j.amc.2017.02.052
  23. W. Zhang, M. Al Kobaisi. A simplified enhanced MPFA formulation for the elliptic equation on general grids. Computational Geosciences. Volume 21, Issue 4, pp 621 -643, 2017. DOI: 10.1007/s10596-017-9638-z
  24. A. A. Shamsuddeen, H. Ismail, and Z. Z. Ibrahim. Well trajectory optimization of homogeneous and heterogeneous reservoirs by the use of adjoint-based optimization technique. International Research Journal of Advanced Engineering and Science, Volume 2, Issue 2, pp. 36-50, 2017.
  25. A. Codas, K.G. Hanssen, B. Foss, A. Capolei, J. B. Jørgensen. Multiple shooting applied to robust reservoir control optimization including output constraints on coherent risk measures. Computational Geosciences, Volume 21, Issue 3, pp 479 -497, June 2017. DOI: 10.1007/s10596-017-9625-4
  26. L. H. Christiansen, A. Capolei, J. B. Jørgensen. A least squares approach for efficient and reliable short-term versus long-term optimization. Computational Geosciences, Volume 21, Issue 3, pp. 411 -426, June 2017. DOI: 10.1007/s10596-017-9620-9.
  27. W. Zhang, M. Al Kobaisi. A globally coupled pressure method for the discretization of the tensor-pressure equation on non-K-orthogonal grids. SPE Journal, Vol. 22, Issue 2, pp. 679 - 698, 2017. DOI: 10.2118/184405-PA.
  28. N. Sorek, E. Gildin, F. Boukouvala, B. Beykal, C. A. Floudas. Dimensionality reduction for production optimization using polynomial approximations. Computational Geosciences. Volume 21, Issue 2, pp. 247 -266, 2017. DOI: 10.1007/s10596-016-9610-3
  29. L. Perozzi, B. Giroux, D.R. Schmitt, and E. Gloaguen. Sensitivity of seismic response for monitoring CO2 storage in a low porosity reservoir of the St Lawrence Lowlands, Québec, Canada: Part 2 - Synthetic modeling. Greenhouse Gases Science and Technology, Volume 7, pp. 613 -623, 2017. DOI: 10.1002/ghg.1670
  30. K. Katterbauer, S. Arango, S. Sun, I. Hoteit. Integrating gravimetric and interferometric synthetic aperture radar data for enhancing reservoir history matching of carbonate gas and volatile oil reservoirs. Geophysical Prospecting. Volume 65, No 1, January 2017 pp. 337 - 364. DOI: 10.1111/1365-2478.12371.
  31. S. Le Clainche, F. Varas, J.M. Vega. Accelerating oil reservoir simulations using POD on the fly. International Journal for Numerical Methods in Engineering, Volume 110, Issue 1, pp. 79-100, April 2017. DOI: 10.1002/nme.5356
  32. S.Navabi, R. Khaninezhad, B. Jafarpour. A unified formulation for generalized oilfield development optimization. Computational Geosciences, Volume 21, Issue 1, pp. 47 -74, 2017. DOI: 10.1007/s10596-016-9594-z
2016
  1. L. Zhao, H. Jiang, J. Li, X. Lu, Z. Zhang, J. Li, and Y. Pei. Numerical simulation study of thermal degradation in polymer flooding based on streamlines. Petroleum Geology and Recovery Efficiency, 2016, 23(6):76-81.
  2. L. Perozzi, E. Gloaguen, B. Giroux, K. Holliger. A stochastic inversion workflow for monitoring the distribution of CO2 injected into deep saline aquifers. Computational Geosciences, Volume 20, Issue 6, pp 1287 -1300, December 2016. DOI: 10.1007/s10596-016-9590-3
  3. A. Alyoubi, M. Ganesh. Parallel mixed FEM simulation of a class of single-phase models with non-local operators, Journal of Computational and Applied Mathematics, Volume 307, pp.106-118, December 2016. DOI: 10.1016/j.cam.2016.03.007.
  4. M. Jesmani, M.C. Bellout, R. Hanea, B. Foss. Well placement optimization subject to realistic field development constraints. Computational Geosciences. Volume 20, Issue 6, pp. 1185 -1209, December 2016. DOI: 10.1007/s10596-016-9584-1
  5. K.G. Hanssen, B. Foss. On selection of controlled variables for robust reservoir management. Journal of Petroleum Science and Engineering, Volume 147, pp. 504 -514, 2016. DOI: 10.1016/j.petrol.2016.08.027
  6. H. Yang, C. Yang, and S. Sun. Active-set reduced-space methods with nonlinear elimination for two-phase flow problems in porous media. SIAM Journal on Scientific Computing, Vol. 38, Number 4, pp. B593-B618, 2016. DOI: 10.1137/15M1041882
  7. J. S. Pau, W. Pao, and S.P. Yong. CO2 flow in saline aquifer with salt precipitation. International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 26, Issue 1, pp. 122-145, 2016. DOI: 10.1108/HFF-02-2015-0051
  8. H. Sharma and M. Pandey. Two phase flow in three dimensional multigrid model. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 10, October 2016. DOI: 10.15680/IJIRSET.2016.0510039
  9. A. Codas, B. Foss, E. Camponogara, S. Krogstad, Black-oil minimal fluid state parametrization for constrained reservoir control optimization, Journal of Petroleum Science and Engineering, Volume 143, July 2016, Pages 35-43. DOI: 10.1016/j.petrol.2016.01.034
  10. E. G. D. Barros, P. M. J. Van den Hof, J. D. Jansen. Value of information in closed-loop reservoir management. Computational Geosciences. Volume 20, Issue 3, pp. 737 -749, 2016. DOI: 10.1007/s10596-015-9509-4
  11. M. Hosseini and M. A. Riahi. Sparsity-based compressive reservoir characterization and modeling by applying ILS-DLA sparse approximation with LARS on DisPat-generated MPS models using seismic, well log, and reservoir data. Nonlinear Processes in Geophysics Discuss., 2016. DOI: 10.5194/npg-2016-46.
  12. L. H. Christiansen, A. Capolei, J. Bagterp Jørgensen, Time-explicit methods for joint economical and geological risk mitigation in production optimization. Journal of Petroleum Science and Engineering, Volume 146, October 2016, pp. 158-169. DOI: 10.1016/j.petrol.2016.04.018.
  13. F. Hourfar, B. Moshiri, K. Salahshoor, M. Zaare-Mehrjerdi, and P. Pourafshary. Adaptive modeling of waterflooding process in oil reservoirs. Journal of Petroleum Science and Engineering, Vol. 146, pp. 702-713, 2016. DOI: 10.1016/j.petrol.2016.06.038
  14. F. Lindner, M. Pfitzner, C. Mundt. Multiphase, multicomponent flow in porous media with local thermal non-equilibrium in a multiphase mixture model. Transport in Porous Media, March 2016, Volume 112, Issue 2, pp 313 -332. DOI: 10.1007/s11242-016-0646-6
  15. M. Babaei and I. Pan. Performance comparison of several response surface surrogate models and ensemble methods for water injection optimization under uncertainty, Computers & Geosciences, Vol. 91, pp. 9-32, 2016. DOI: 10.1016/j.cageo.2016.02.022.
  16. M.N. Najafi, M. Ghaedi, and S. Moghimi-Araghi. Water propagation in two-dimensional petroleum reservoirs. Physica A: Statistical Mechanics and its Applications, Vol. 445, pp. 102-111, 2016. DOI: 10.1016/j.physa.2015.10.100
  17. R. March, F. Doster and S. Geiger. Accurate early-time and late-time modeling of countercurrent spontaneous imbibition. Water Resources Research, Vol. 52, Issue 8, pp. 6263 -6276, August 2016. DOI: 10.1002/2015WR018456.
  18. F. Sana, K. Katterbauer, T. Y. Al-Naffouri, and I. Hoteit. Orthogonal matching pursuit for enhanced recovery of sparse geological structures with the Ensemble Kalman filter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 9, Issue 4, pp. 1710-1724, 2016. DOI: 10.1109/JSTARS.2016.2518119
  19. A. S. Grema, Y. Cao. Optimal feedback control of oil reservoir waterflooding processes. International Journal of Automation and Computing, February 2016, Volume 13, Issue 1, pp. 73 -80. DOI: 10.1007/s11633-015-0909-7
  20. A. Alkhatib and M. Babaei. Applying the multilevel Monte Carlo method for heterogeneity-induced uncertainty quantification of surfactant/polymer flooding. SPE Journal, Volume 21, Issue 04, pp. 1192-1203, 2016. DOI: 10.2118/172635-PA
  21. H. Jeong and S. Srinivasan. Fast assessment of CO2 plume characteristics using a connectivity based proxy. International Journal of Greenhouse Gas Control, Volume 49, 387-412, 2016. DOI: 10.1016/j.ijggc.2016.03.001.
  22. F. Sana, F. Ravanelli, T. Y. Al-Naffouri and I. Hoteit. A sparse Bayesian imaging technique for efficient recovery of reservoir channels with time-lapse seismic measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 6, pp. 2242-2254, June 2016. DOI: 10.1109/JSTARS.2016.2563163.
  23. H. Shahandeh, S. Rahim, and Z. Li. Strategic optimization of the oil sands development with SAGD: Drainage area arrangement and development planning. Journal of Petroleum Science and Engineering, Volume 137, 172 -184, 2016. DOI: 10.1016/j.petrol.2015.11.023
2015
  1. J. Zhang, and A. Revil. Cross-well 4-D resistivity tomography localizes the oil -water encroachment front during water flooding. Geophysical Journal International, Volume 201, Issue 1, pp. 343-354, 2015. DOI: 10.1093/gji/ggv028
  2. A. Codas, B. Foss, E. Camponogara. Output-constraint handling and parallelization for oil-reservoir control optimization by means of multiple shooting. SPE Journal, Volume 20, Issue 4, pp. 856-871, 2015. DOI: 10.2118/174094-PA
  3. K. Fossum and T. Mannseth. Assessment of ordered sequential data assimilation. Computational Geosciences, Volume 19, Issue 4, pp. 821-844, 2015. DOI: 10.1007/s10596-015-9492-9
  4. S. Rahim, Z. Li, J. Trivedi. Reservoir geological uncertainty reduction: an optimization-based method using multiple static measures. Mathematical Geosciences, May 2015, Volume 47, Issue 4, pp 373 -396. DOI: 10.1007/s11004-014-9575-5
  5. K. Katterbauer, S. Arango, S. Sun, S., and I. Hoteit. Multi-data reservoir history matching for enhanced reservoir forecasting and uncertainty quantification. Journal of Petroleum Science and Engineering, Volume 128, 160-176, 2015. DOI: 10.1016/j.petrol.2015.02.016
  6. M.N. Najafi, M. Ghaedi, Geometrical clusters of Darcy's reservoir model and Ising universality class, Physica A: Statistical Mechanics and its Applications, Volume 427, pp. 82-91, 2015. DOI: 10.1016/j.physa.2015.01.061.
  7. A. Hasan and B. Foss. Optimal switching time control of petroleum reservoirs. Journal of Petroleum Science and Engineering, Volume 131, pp. 131-137, 2015. DOI: 10.1016/j.petrol.2015.04.027
  8. J. Li, Z. Lei, G. Qin, B. Gong. Effective local-global upscaling of fractured reservoirs under discrete fractured discretization. Energies, Volume 8, number 9, pp. 10178-10197, 2015. DOI:10.3390/en80910178
  9. M. Babaei , A, Alkhatib, I. Pan. Robust optimization of subsurface flow using polynomial chaos and response surface surrogates. Computational Geosciences, Volume 19, Number 5, pp. 979 -998, 2015. DOI: 10.1007/s10596-015-9516-5
  10. T. Chen, C. Clauser, G. Marquart, K. Willbrand, and D. Mottaghy. A new upscaling method for fractured porous media. Advances in Water Resources, Vol. 80, pp. 60-68, 2015. DOI: 10.1016/j.advwatres.2015.03.009
  11. X. Lu, H. Jiang, J. Li, L. Zhao, Y. Pei, Y. Zhao, G. Liu, and W. Fang. Polymer thermal degradation in high-temperature reservoirs. Petroleum Science and Technology, Volume 33, Issue 17-18, pp. 1571-1579, 2015. DOI: 10.1080/10916466.2015.1072561
  12. K. Katterbauer, I. Hoteit, S. Sun. History matching of electromagnetically heated reservoirs incorporating full-wavefield seismic and electromagnetic imaging. SPE Journal, Volume 20, No 5, pp. 923 - 941, 2015. DOI: 10.2118/173896-PA
  13. F. Lindner, C. Munz, and M. Pfitzner. Fluid flow and heat transfer with phase change and local thermal non-equilibrium in vertical porous channels. Transport in Porous Media, Volume 106, Issue 1, pp 201 -220, 2015. DOI: 10.1007/s11242-014-0396-2.
  14. A. Capolei, E. Suwartadi, B. Foss, J. B. Jørgensen. A mean-variance objective for robust production optimization in uncertain geological scenarios. J. Petroleum Science and Engineering, Volume 125, pp. 23-37 2014, DOI: 10.1016/j.petrol.2014.11.015.
2014
  1. J. D. Jansen, R.M. Fonseca, S. Kahrobaei, M.M. Siraj, G.M. Van Essen, and P.M.J. Van den Hof. The egg model - A geological ensemble for reservoir simulation. Geoscience Data Journal, Volume 1 (2), pp. 192-195, 2014. DOI: 10.1002/gdj3.21
  2. O. Leeuwenburgh and R. Arts. Distance parameterization for efficient seismic history matching with the ensemble Kalman Filter. Computational Geosciences. Volume, 18, Issue: 3-4, pp. 535-548. 2014. DOI: 10.1007/s10596-014-9434-y
  3. K. Fossum and T. Mannseth. Parameter sampling capabilities of sequential and simultaneous data assimilation: II. Statistical analysis of numerical results. Inverse Problems, Volume 30, Number 11, 114002, 2014. DOI: 10.1088/0266-5611/30/11/114003
  4. T. D. Humphries, R. D. Haynes, and L. A. James. Simultaneous and sequential approaches to joint optimization of well placement and control. Computational Geosciences, Volume 18, Issue 3-4, pp 433-448, 2014. DOI: 10.1007/s10596-013-9375-x
  5. J. Rezaie and J. Eidsvik. Kalman Filter variants in the closed skew normal setting. Computational Statistics & Data Analysis, Volume 75, pp. 1 -14, 2014. DOI: 10.1016/j.csda.2014.01.014
  6. J. Rezaie, J. Eidsvig, and T. Mukerji. Value of information analysis and Bayesian inversion for closed skew-normal distributions: Applications to seismic amplitude variation with offset data. Geophysics, Volume 79, Issue 4, pp. R151-R163, 2014. DOI: 10.1190/geo2013-0048.1
  7. K. Katterbauer, I. Hoteit, and S. Sun. EMSE: Synergizing EM and seismic data attributes for enhanced forecasts of reservoirs. J. Petrol. Sci. Eng., 2014, DOI: 10.1016/j.petrol.2014.07.039.
  8. C. Lieberman and K. Willcox. Nonlinear goal-oriented Bayesian inference: Application to carbon capture and storage. SIAM Journal on Scientific Computing 36, no. 3, B427 -B449, 2014. DOI: 10.1137/130928315.
  9. A. Butler, R.D. Haynes, T.D. Humphries, and P. Ranjan. Efficient optimization of the likelihood function in Gaussian process modelling, Computational Statistics & Data Analysis, Volume 73, May 2014, Pages 40-52, ISSN 0167-9473, Doi: 10.1016/j.csda.2013.11.017.
  10. T. H. Sandve, E. Keilegavlen and J. M. Nordbotten. Physics-based preconditioners for flow in fractured porous media. Water Resources Research, Volume 50, Issue 2, pages 1357 -1373, February 2014. DOI: 10.1002/2012WR013034
2013
  1. Y. Efendiev, O. Iliev, and C. Kronsbein. Multilevel Monte Carlo methods using ensemble level mixed MsFEM for two-phase flow and transport simulations. Computational Geosciences, Volume 17, Issue 5, pp 833-850, 2013. DOI: 10.1007/s10596-013-9358-y
  2. A. Rotevatn, T. H. Sandve, E. Keilegavlen, D. Kolyukhin and H. Fossen. Deformation bands and their impact on fluid flow in sandstone reservoirs: the role of natural thickness variations. Geofluids, Volume 13, Issue 3, pages 359 -371, 2013. DOI: 10.1111/gfl.12030
  3. A. Capolei, E. Suwartadi, B. Foss, J. B. Jørgensen. Waterflooding optimization in uncertain geological scenarios. Computational Geosciences, Volume 17, Issue 6, pp 991-1013, 2013. DOI: 10.1007/s10596-013-9371-1
  4. A. Tambue. Efficient numerical simulation of incompressible two-phase flow in heterogeneous porous media based on exponential Rosenbrock−Euler method and lower-order Rosenbrock-type method. Journal of Porous Media, Volume 16, Issue 5, pp. 381-393, 2013. DOI: 10.1615/JPorMedia.v16.i5.10
  5. A. Tambue, I. Berre, J.M. Nordbotten. Efficient simulation of geothermal processes in heterogeneous porous media based on the exponential Rosenbrock-Euler and Rosenbrock-type methods. Advances in Water Resources, Volume 53, pp. 250 -262, 2013. DOI: 10.1016/j.advwatres.2012.12.004
2012
  1. Lijian Jiang, J. David Moulton, Daniil Svyatskiy, Analysis of stochastic mimetic finite difference methods and their applications in single-phase stochastic flows, Computer Methods in Applied Mechanics and Engineering, Volumes 217 -220, 1 April 2012, Pages 58-76, ISSN 0045-7825, doi: 10.1016/j.cma.2011.12.007.
  2. J. Rezaie and J. Eidsvig. Shrinked (1 − α) ensemble Kalman filter and α Gaussian mixture filter. Comput. Geosci., Vol. 16, No.3, pp. 837-852, 2012. DOI: 10.1007/s10596-012-9291-5.
  3. T. H. Sandve, I. Berre, J. M. Nordbotten. An efficient multi-point flux approximation method for Discrete Fracture-Matrix simulations. J. Comp. Phys., Vol. 231, Issue 9, pp. 3784 -3800, 2012. DOI: 10.1016/j.jcp.2012.01.023
  4. E. Keilegavlen, J. M. Nordbotten, A. F. Stephansen. Tensor relative permeabilities: origins, modeling and numerical discretization. Int. J Numer. Anal. Mod. (Special issue in memory of Magne Espedal), Vol. 9, No. 3, pp. 701-724, 2012.
  5. E. Suwartadi, S. Krogstad, and B. Foss. Nonlinear output constraints handling for production optimization of oil reservoirs. Comput. Geosci., Vol. No. 2, pp. 499-517, 2012. DOI: 10.1007/s10596-011-9253-3.
2011
  1. E. W. Bhark, B. Jafarpour, and A. Datta-Gupta. A generalized grid connectivity -based parameterization for subsurface flow model calibration, Water Resour. Res., 47, W06517, 2011. DOI: 10.1029/2010WR009982.

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