MRST - MATLAB Reservoir Simulation Toolbox

Journal papers using MRST
The following is a list of journal papers in which MRST is used as a key research tool. All papers are written by authors that are (or were) not part of the MRST development team at SINTEF.
  1. E. Ahmed. A splitting-based domain decomposition method for immiscible two-phase flow in porous media with different rock types. arXiv preprint arXiv:1906.03470
  2. D. Illiano, I.S. Pop, F.A. Radu. Iterative schemes for surfactant transport in porous media. arXiv preprint arXiv:1906.00224, 2019
  3. L. Mosser, O. Dubrule, and M. J. Blunt. DeepFlow: History matching in the space of deep generative models. arXiv preprint arXiv:1905.05749, 2019.
  4. 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
  5. T.K.S. Ritschel and J. B. Jørgensen. Dynamic optimization of thermodynamically rigorous models of multiphase flow in porous subsurface oil reservoirs. arXiv preprint arXiv:1807.09035, 2018
  6. A. Capolei, L.H. Christiansen, and J.B. Jørgensen. Risk minimization in life-cycle oil production optimization. arXiv preprint arXiv:1801.00684, 2018
  7. A.A. Lukyanov and K. Vuik. A stable SPH discretization of the elliptic operator with heterogeneous coefficients. arXiv preprint arXiv:1711.11351, 2017
  8. 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.
  9. 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.
  10. E. Ahmed, S. A. Hassan, C. Japhet, M. Kern, M. Vohralik. A posteriori error estimates and stopping criteria for space-time domain decomposition for two-phase flow between different rock types. HAL Id: hal-01540956
  11. D. Stone, G. Lord. A positivity preserving convergent event based asynchronous PDE solver. arXiv preprint:1610.06800, 2016.
2019/electronic only
  1. Y. Sun, Z. Liu, and X. Dong. Rate optimization of fractional flow reservoir model based on the continuous adjoint method. Journal of Petroleum Science and Engineering, 2019. DOI: 10.1016/j.petrol.2019.106346.
  2. K. Nunna, C.-H. Liu, and M. J. King. Application of diffuse source functions for improved flow upscaling. Computational Geosciences, 2019. DOI: 10.1007/s10596-019-09868-x.
  3. G. Dutta, T. Mukerji, and J. Eidsvik. Value of information of time-lapse seismic data by simulation-regression: comparison with double-loop Monte Carlo. Computational Geosciences, 2019. DOI: 10.1007/s10596-019-09864-1.
  4. H. Yang, S. Sun, Y., and C. Yang. Parallel reservoir simulators for fully implicit complementarity formulation of multicomponent compressible flows. Computer Physics Communications, 2019. DOI: 10.1016/j.cpc.2019.07.011.
  5. Y. Hu, R. T. Armstrong, I.Shikhov, T. T. Hung, B. Lee, and P. Mostaghimi. Unsteady-state coreflooding monitored by positron emission tomography and X-ray computed tomography. SPE Journal, 2019. DOI: 10.2118/195701-PA.
  6. H. Singh. Machine learning for surveillance of fluid leakage from reservoir using only injection rates and bottomhole pressures. Journal of Natural Gas Science and Engineering, Vol. 69, September 2019, 102933. DOI: 10.1016/j.jngse.2019.102933.
  7. H. Yang, S. Sun, Y. Li, and C. Yang. A fully implicit constraint-preserving simulator for the black oil model of petroleum reservoirs. Journal of Computational Physics, Vol. 396, pp. 347-363, 2019. DOI: 10.1016/
  8. W. Zhang and M. Al Kobaisi. Cell-centered nonlinear finite-volume methods with improved robustness. SPE Journal, 2019. DOI: 10.2118/195694-PA
  9. V. Spooner, S. Geiger, and D. Arnold. Flow diagnostics for naturally fractured reservoirs. Petroleum Geoscience, 1 July 2019. DOI: 10.1144/petgeo2018-136
  10. H. Florez and E. Gildin. Global/local model order reduction in coupled flow and linear thermal-poroelasticity. Computational Geosciences, June 2019. DOI: 10.1007/s10596-019-09834-7
  11. M. A. Abdullah, A. Panda, S. Gupta, S. Joshi, A. Singh, and N. Rao. Modelling and simulation of two-phase flow in reservoir using MRST. Petroleum & Coal, Vol. 61 Issue 3, pp. 546-558, 2019.
  12. X. Zhao and B. Jha. Role of well operations and multiphase geomechanics in controlling fault stability during CO2 storage and enhanced oil recovery. JGR Solid Earth, June 2019. 10.1029/2019JB017298
  13. S. Xu, Q. Feng, S. Wang, and Y. Li. A 3D multi-mechanistic model for predicting shale gas permeability. Journal of Natural Gas Science and Engineering, Vol. 68, 2019. DOI: 10.1016/j.jngse.2019.102913
  14. Y. Zhao, H. Jiang, S. Rahman, Y. Yuan, L. Zhao, J. Li, J. Ge, J. Li. Three-dimensional representation of discrete fracture matrix model for fractured reservoirs. Journal of Petroleum Science and Engineering, Vol. 180, pp. 886-900, 2019. DOI: 10.1016/j.petrol.2019.06.015
  15. A. Jahandideh and B. Jafarpour. Stochastic oilfield optimization under uncertain future development plans. SPE Journal, 2019. DOI: 10.2118/190139-PA
  16. Y. Mehmani and H.A. Tchelepi. Multiscale formulation of two-phase flow at the pore scale. Journal of Computational Physics. Volume 389, pp. 164-188, 2019. DOI: 10.1016/
  17. X. Lang and D. Grana. Rock physics modelling and inversion for saturation‐pressure changes in time‐lapse seismic studies. Geophysical Prospecting, Vol. 67, Issue 7, pp. 1912-1928, 2019. DOI: 10.1111/1365-2478.12797
  18. L. Zhang, C. Cui, Y. Wang, K. Zhang, Z. Sun, and J. Yao. Reducing fracture prediction uncertainty based on time-lapse seismic (4D) and deterministic inversion algorithm. International Journal for Uncertainty Quantification, Vol. 9, No. 2, pp. 187-204, 2019. DOI: 10.1615/Int.J.UncertaintyQuantification.2019027680
  19. L. Zhang, C. Cui, X. Ma, Z. Sun, F. Liu, K. Zhang. A fractal discrete fracture network model for history matching of naturally fractured reservoirs. Fractals, Vol. 27, No. 01, 1940008, 2019. DOI: 10.1142/S0218348X19400085
  20. Q. Liao, G. Lei, D. Zhang, and S. Patil. Analytical solution for upscaling hydraulic conductivity in anisotropic heterogeneous formations. Advances in Water Resources, Volume 128, pp. 97-116, 2019. DOI: 10.1016/j.advwatres.2019.04.011
  21. B. Sousedík. On adaptive BDDC for the flow in heterogeneous porous media. Applications of Mathematics, Vol. 64, No. 3, pp. 309-334, 2019. DOI: 10.21136/AM.2019.0222-18
  22. M. Hosseini and M. A. Riahi. Using input-adaptive dictionaries trained by the method of optimal directions to estimate the permeability model of a reservoir. Journal of Applied Geophysics, Volume 165, pp. 16-28, 2019. DOI: 10.1016/j.jappgeo.2019.04.006
  23. Y. D. Wang, T. Chung, R. T. Armstrong, J. E. McClure, and P. Mostaghimi. Computations of permeability of large rock images by dual grid domain decomposition. Advances in Water Resources, Volume 126, pp. 1-14, 2019. DOI: 10.1016/j.advwatres.2019.02.002
  24. E.G.D. Barros, P.M.J. Van den Hof, and J.D. Jansen. Informed production optimization in hydrocarbon reservoirs. Optimization and Engineering, 2019. DOI: 10.1007/s11081-019-09432-7
  25. C. S. Hemmingsen. S. L. Glimberg, N. Quadrio, C. Völcker, K. K. Nielsen, J. H. Walther, M. lByrne, and A. P.Engsig-Karup. Multiphase coupling of a reservoir simulator and computational fluid dynamics for accurate near-well flow. J. Petrol. Sci. Eng.,  Vol. 178, pp. 517-527, 2019. DOI: 10.1016/j.petrol.2019.03.063
  26. T. Chung, Y. D. Wang, R. T. Armstrong, and P. Mostaghimi. Approximating permeability of microcomputed-tomography images using elliptic flow equations. SPE Journal, Vol. 24, Issue 3, pp. 1154-1163, 2019. DOI: 10.2118/191379-PA
  27. T. L. Silva, A. Codas, M. Stanko, E. Camponogara, and B. Foss. Network-constrained production optimization by means of multiple shooting. SPE Reservoir Evaluation & Engineering, Vol. 22, Issue 2, pp. 709-733, 2019. DOI: 10.2118/194504-PA
  28. M. H. Rammay, A. H. Elsheikh, and Y. Chen. Quantification of prediction uncertainty using imperfect subsurface models with model error estimation. J. Hydrol., Vol. 576, pp. 764-783, 2019. DOI: 10.1016/j.jhydrol.2019.02.056
  29. D. Egya, S. Geiger, and P.W.M. Corbett. Pressure-transient responses of fractures with variable conductivity and asymmetric well location. SPE Reservoir Evaluation & Engineering, Vol. 22, Issue 2, pp. 745-755, 2019. DOI: 10.2118/190884-PA
  30. E.L.F. Fortaleza, J.O.A. Limaverde Filho, G.S.V. Gontijo, É. L. Albuquerque, R.D.P. Simões, M.M. Soares, M.E.R. Miranda, and G.C. Abade. Analytical, numerical and experimental study of gas coning on horizontal wells. J Braz. Soc. Mech. Sci. Eng. (2019) 41: 141. DOI: 10.1007/s40430-019-1643-9
  31. Y. Zhang, Z. Xue, H. Park, J. Shi, T. Kiyama, X. Lei, and Y. Liang. Tracking CO2 plumes in clay‐rich rock by distributed fiber optic strain sensing (DFOSS): a laboratory demonstration. Water Resources Research, Vol. 55, Issue 1, pp. 856-767, 2019. DOI: 10.1029/2018WR023415
  32. E. A. Spirina, K. A. Potashev, and A. B. Mazo. Evaluation of the reliability of the averaging over the reservoir thickness for the model with a fixed streamtube. J. Phys.: Conf. Ser. 1158, 4. DOI: 10.1088/1742-6596/1158/4/042024
  33. M. A. E. Kokubun, F. A. Radu, E. Keilegavlen, K. Kumar, and K. Spildo. Transport of polymer particles in a oil-water flow in porous media: enhancing oil recovery. Transport in Porous Media, January 2019, Volume 126, Issue 2, pp 501 -519. DOI: 10.1007/s11242-018-1175-2
  34. D. O. Egya, S. Geiger, P.W.M. Corbert, R. March, K. Bisdom, G. Bertotti, and F.H. Bezerra. Analysing the limitations of the dual-porosity response during well tests in naturally fractured reservoirs. Petroleum Geoscience, Vol 25, No 1, February 2019 pp. 30-49. DOI: 10.1144/petgeo2017-053
  35. J. Jiang and S.B. Gorell. Analysis of localization methods in Ensemble Kalman Filter with SVD analytical solution. Journal of Petroleum Science and Engineering. Volume 175, April 2019, Pages 919-931. DOI: 10.1016/j.petrol.2019.01.030
  36. E. Ranaee, F. Inzoli, M. Riva, and A. Guadagnini. Hysteresis effects of three-phase relative permeabilities on black-oil reservoir simulation under WAG injection protocols. Journal of Petroleum Science and Engineering, Vol. 176, pp. 1161-1174, 2019. DOI: 10.1016/j.petrol.2019.01.044
  37. C. Xiao, O. Leeuwenburgh, H. X. Lin, and A. Heemink. Non-intrusive subdomain POD-TPWL for reservoir history matching. Computational Geosciences. Vol. 23, Issue 3, pp. 537-565, 2019. DOI: 10.1007/s10596-018-9803-z
  38. B. Gharedaghloo and J. S.Price. Characterizing the immiscible transport properties of diesel and water in peat soil. Journal of Contaminant Hydrology, Vol. 221, pp. 11-25, 2019. DOI: 10.1016/j.jconhyd.2018.12.005
  39. O. Fuks, F. Ibrahima, P. Tomin, H.A. Tchelepi. Analysis of travel time distributions for uncertainty propagation in channelized porous systems. Transport in Porous Media, Vol. 126, Issue 1, pp. 115-137, 2019. DOI: 10.1007/s11242-018-1052-z
  40. X. Tan, E. Gildin, H. Florez, S. Trehan, Y. Yang, and N. Hoda. Trajectory-based DEIM (TDEIM) model reduction applied to reservoir simulation. Computational Geosciences, Vol. 23, No. 1, pp. 35-53, 2019. DOI: 10.1007/s10596-018-9782-0
  41. F. Hourfar, H.J. Bidgoly, B. Moshiri, K. Salahshoor, and A. Elkamel. A reinforcement learning approach for waterflooding optimization in petroleum reservoirs. Engineering Applications of Artificial Intelligence, Volume 77, January 2019, Pages 98-116. DOI: 10.1016/j.engappai.2018.09.019
  1. E. Ucar, I. Berre, E. Keilegavlen, and J.M. Nordbotten. A finite-volume discretization for deformation of fractured media. Computational Geosciences, Volume 22, Issue 4, pp. 993 -1007, 2018. DOI: 10.1007/s10596-018-9734-8
  2. Y. Mehmani and H.A. Tchelepi. Multiscale computation of pore-scale fluid dynamics: single-phase flow. Journal of Computational Physics, Volume 375, pp. 1469-14872018. DOI: 10.1016/
  3. A. D. Obembe, S. A. Abu-Khamsin, M. E. Hossain, K. Mustapha. Analysis of subdiffusion in disordered and fractured media using a Grünwald-Letnikov fractional calculus model. Computational Geosciences, Volume 22, Issue 5, pp. 1231 -1250, 2018. DOI: 10.1007/s10596-018-9749-1
  4. M. Schneider, D. Gläser, B. Flemisch, and R. Helmig. Comparison of finite-volume schemes for diffusion problems. Oil & Gas Science and Technology - Rev. IFP Energies nouvelles, Volume 73, 2018. DOI: 10.2516/ogst/2018064
  5. J. Franc, G. Debenest, L. Jeannin, R. Ababou, and R. Masson. Comparisons of FV-MHMM with other finite volume multiscale methods. Transport in Porous Media, Volume 125, Issue 2, pp. 151 -171, 2018. DOI: 10.1007/s11242-018-1111-5
  6. R. Castaneda Neto, F. Doster, and S. Geiger. Assessment of CO2 storage potential in naturally fractured reservoirs with dual-porosity models. Water Resources Research, Volume 54, Issue 3, pp. 1650-1668, 2018. DOI: 10.1002/2017WR022159
  7. I. Stefansson, I. Berre, and E. Keilegavlen. Finite-volume discretizations for flow in fractured porous media. Transport in Porous Media. Volume 124, Issue 2, pp 439 -462, 2018. DOI: 10.1007/s11242-018-1077-3
  8. S. Trehan and L.J. Durlofsky. Machine-learning-based estimation of upscaling error, with application to uncertainty quantification. Computational Geosciences, Volume 22, Issue 4, pp. 1093 -1113, 2018. DOI: 10.1007/s10596-018-9740-x
  9. E. Ucar, I. Berre, E. Keilegavlen. Three-dimensional numerical modeling of shear stimulation of naturally fractured rock formations. Journal of Geophysical Research: Solid Earth,
    Volume 123, Issue 5, pp. 3891-3908, 2018. DOI: 10.1029/2017JB015241
  10. A. Nissen, E. Keilegavlen, T. H. Sandve, I. Berre, and J. M. Nordbotten. Heterogeneity preserving upscaling for heat transport in fractured geothermal reservoirs. Computational Geosciences, Volume 22, Issue 2, pp 451 -467, April 2018. DOI: 10.1007/s10596-017-9704-6
  11. M. Schneider, B. Flemisch, R. Helmig, K. Terekhov, and H. Tchelepi. Monotone nonlinear finite-volume method for challenging grids. Computational Geosciences, Volume 22, Issue 2, pp. 565 -586, April 2018,. DOI: 10.1007/s10596-017-9710-8
  12. K. Zhang, X. Ma, Y. Lie, H. Wu, C. Cui, X. Zhang, H. Zhang, and J. Yao. Parameter prediction of hydraulic fracture for tight reservoir based on micro-seismic and history matching. Fractals, Volume 26, Number 2, 1840009, 2018. DOI: 10.1142/S0218348X18400091
  13. L. Zhao, H. Jiang, S. Zhang, H. Yang, F. Sun, Y. Qiao, L. Zhao, W. Chen, and J. Li, Modeling vertical well in field-scale discrete fracture-matrix model using a practical pseudo inner-boundary model, Journal of Petroleum Science and Engineering, Volume 166, pp. 510-530, 2018. DOI: 10.1016/j.petrol.2018.02.061.
  14. Akhmed-Zaki, D. Zh, O. N. Turar, and A. R. Rakhymova. Three dimensional visualization of models and physical characteristics of oil and gas reservoir for virtual reality systems. Journal of Mathematics, Mechanics and Computer Science 99.3 (2018): 92-105. <link>
  15. R. March, F. Doster, and S. Geiger. Assessment of CO2 storage potential in naturally fractured reservoirs with dual-porosity models. Water Resources Research, Volume 54, Issue 3, pp. 1650-1668, 2018. DOI: 10.1002/2017WR022159
  16. B. Beykal, F. Boukouvala, C. A. Floudas, N. Sorek, H. Zalavadia, and E. Gildin. Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations. Computers & Chemical Engineering, Volume 114, pp. 99-110, 2018. DOI: 10.1016/j.compchemeng.2018.01.005.
  17. H.Zanbouri and K.Salahshoor. Development of robust surrogate model for economic performance prediction of oil reservoir production under waterflooding process. Journal of Petroleum Science and Engineering. Volume 165, pp. 496-504, 2018. DOI: 10.1016/j.petrol.2018.01.065
  18. A Fumagalli, E Keilegavlen. Dual virtual element method for discrete fractures networks. SIAM Journal of Scientific Computing, Volume 40, Issue 1, pp. B228 -B258, 2018. DOI: 10.1137/16M1098231
  19. S. H. Elahi and B. Jafarpour. Dynamic fracture characterization from tracer-test and flow-rate data with ensemble Kalman filter. SPE Journal, Volume23, Issue 02, pp. 449-466, 2018. DOI: 10.2118/189449-PA
  20. S. A. Abdul Hamid and A. H. Muggeridge. Analytical solution of polymer slug injection with viscous fingering. Computational Geosciences, Volume 22, Issue 3, pp. 711 -723, 2018. DOI: 10.1007/s10596-018-9721-0
  21. H. Rezaee and D. Marcotte. Calibration of categorical simulations by evolutionary gradual deformation method. Computational Geosciences, Volume 22, Issue 2, pp. 587 -605, 2018. DOI: 10.1007/s10596-017-9711-7
  22. F. Hourfar, K. Salahshoor, H. Zanbouri, A. Elkamel, P. Pourafshary, and B. Moshiri. A systematic approach for modeling of waterflooding process in the presence of geological uncertainties in oil reservoirs. Computers & Chemical Engineering, Volume 111, pp. 66-78, 2018. DOI: 10.1016/j.compchemeng.2017.12.012
  23. S. Karimpouli, S. Khoshlesan, E. H. Saenger, and H. H. Koochi. Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples. Geophysical Prospecting, Volume 66, Issue 4, pp. 767-783, 2018. DOI: 10.1111/1365-2478.12611
  24. G.B. Diaz Cortes, C.Vuik, and J.D.Jansen. On POD-based deflation vectors for DPCG applied to porous media problems. Journal of Computational and Applied Mathematics. Volume 330, pp. 193-213, 2018. DOI: 10.1016/
  25. H Singh, J Cai. Screening improved recovery methods in tight-oil formations by injecting and producing through fractures. International Journal of Heat and Mass Transfer, Vol. 116, pp. 977-993, 2018. DOI: 10.1016/j.ijheatmasstransfer.2017.09.071
  26. J. Abbasi, M. Ghaedi, and M. Riazi. A new numerical approach for investigation of the effects of dynamic capillary pressure in imbibition process. Journal of Petroleum Science and Engineering, Volume 162, Pages 44-54, March 2018. DOI: 10.1016/j.petrol.2017.12.035
  1. A.D. Obembe, M.E. Hossain, K. Mustapha, and S.A. Abu-Khamsin. A modified memory-based mathematical model describing fluid flow in porous media. Computers & Mathematics with Applications, Volume 73, Number 6, pp. 1385-1402, 2017. DOI: 10.1016/j.camwa.2016.11.022
  2. A.D. Obembe, M.E. Hossain, and S.A. Abu-Khamsin. Variable-order derivative time fractional diffusion model for heterogeneous porous media. Journal of Petroleum Science and Engineering 152, 391-405, 2017. DOI: 10.1016/j.petrol.2017.03.015
  3. E. Ucar, I. Berre, and E. Keilegavlen. Post-injection normal closure of fractures as a mechanism for induced seismicity. Geophysical Research Letters, Volume 44, Issue 19, pp. 9598-9606, 2017. DOI: 10.1002/2017GL074282
  4. A. Capolei, L. H. Christiansen, and J. B. Jørgensen. A novel approach for risk minimization in life-cycle oil production optimization. Computer Aided Chemical Engineering. Volume 40, pp. 157-162, 2017. DOI: 10.1016/B978-0-444-63965-3.50028-3
  5. A. S. Grema, D. Baba, U. H. Taura, M. B. Grema, and L. T. Popoola. Optimization and non-linear identification of reservoir water flooding process. Arid Zone Journal of Engineering, Technology and Environment, [S.l.], Volume 13, Number 5, pp. 610-619, 2017.
  6. H. Singh and N. J. Huerta. Detecting subsurface fluid leaks in real-time using injection and production rates. Advances in Water Resources, Volume 110, pp. 147-165, 2017. DOI: 10.1016/j.advwatres.2017.10.012
  7. L Agélas, G Enchéry, B Flemisch, M Schneider. Convergence of nonlinear finite volume schemes for heterogeneous anisotropic diffusion on general meshes. Journal of Computational Physics, Volume 351, pp. 80-107, December 2017. DOI: 10.1016/
  8. E. Insuasty, P. M. J. Van den Hof, S. Weiland, and J.-D. Jansen. Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach. Computational Geosciences, Volume 21, Issue 4, pp 645 -663, 2017. DOI: 10.1007/s10596-017-9641-4
  9. K. Zhang, X. Zhang, L. Zhang, L. Li, H. Sun, Z. Huang, and J Yao. Assisted history matching for the inversion of fractures based on discrete fracture-matrix model with different combinations of inversion parameters. Computational Geosciences, Volume 21, Issue 5 -6, pp 1365 -1383, December 2017. DOI: 10.1007/s10596-017-9690-8
  10. L. Li, H. Jiang, J. Li, K. Wu, F. Meng, and Z. Chen, Modeling tracer flowback in tight oil reservoirs with complex fracture networks, Journal of Petroleum Science and Engineering, Volume 157, pp. 1007-1020, 2017. DOI: 10.1016/j.petrol.2017.08.022.
  11. R. V. Ponce, F.V. Alvarado, and M.S. Carvalho. Water-alternating-macroemulsion reservoir simulation through capillary number-dependent modeling. Journal of the Brazilian Society of Mechanical Sciences and Engineering, Volume 39, Issue 10, pp. 4135 -4145, October 2017. DOI: 10.1007/s40430-017-0885-7
  12. M. M. Siraj, P.M.J Van den Hof, and J.-D. Jansen. Handling geological and economic uncertainties in balancing short-term and long-term objectives in waterflooding optimization. SPE Journal, Vol. 22, No. 4, pp. 1313-1325, 2017. DOI: 10.2118/185954-PA
  13. W. Zhang and M. Al Kobaisi. A two-step finite volume method for the simulation of multiphase fluid flow in heterogeneous and anisotropic reservoirs. Journal of Petroleum Science and Engineering, Volume 156, pp. 282-298, 2017 DOI: 10.1016/j.petrol.2017.06.003
  14. 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/
  15. 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
  16. 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.
  17. 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.
  18. 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
  19. 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
  20. 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.
  21. 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
  22. 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
  23. 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.
  24. 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
  25. 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.
  26. 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.
  27. 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
  28. 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
  29. 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.
  30. 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
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  22. 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
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