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

Online preprints:

  1. E.G.D. Barros, P.M.J. Van den Hof, and J.D. Jansen. Informed production optimization in hydrocarbon reservoirs. 2018
  2. 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
  3. C. Xiao, O. Leeuwenburgh, H.X. Lin, and A. Heemink. Non-intrusive subdomain POD-TPWL algorithm for reservoir history matching. arXiv preprint arXiv:1806.04135, 2018.
  4. Y. Zhang, Z. Xue, H. Park, J. Shi. T. Kiyama, X. Lei, and Y. Liang. Tracking CO2 plume footprints in reservoir-caprock system by fibre optic strain sensing. EarthArXiv Preprint, April 2018. DOI: 10.17605/OSF.IO/R6W8F
  5. 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. arXiv preprint arXiv:1802.05456, 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.

Journal papers:

  1. 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, 2018. 
  2. E. Ucar, I. Berre, E. Keilegavlen, and J.M. Nordbotten. A finite-volume discretization for deformation of fractured media. Computational Geosciences, 2018. DOI: 10.1007/s10596-018-9734-8
  3. Y. Mehmani and H.A. Tchelepi. Multiscale computation of pore-scale fluid dynamics: single-phase flow. Journal of Computational Physics, 2018. DOI: 10.1016/
  4. 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, 2018. DOI: 10.1007/s10596-018-9749-1
  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, 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, 54(3), 1650-1668, 2018. DOI: 10.1002/2017WR022159
  7. O Fuks, F Ibrahima, P Tomin, HA Tchelepi. Analysis of travel time distributions for uncertainty propagation in channelized porous systems. Transport in Porous Media, 2018. DOI: 10.1007/s11242-018-1052-z
  8. I. Stefansson, I. Berre, and E. Keilegavlen. Finite-volume discretizations for flow in fractured porous media. Transport in Porous Media. DOI: 10.1007/s11242-018-1077-3
  9. S. Trehan and L.J. Durlofsky. Machine-learning-based estimation of upscaling error, with application to uncertainty quantification. Computational Geosciences, 2018. DOI: 10.1007/s10596-018-9740-x
  10. E. Ucar, I. Berre, E. Keilegavlen. Three-dimensional numerical modeling of shear stimulation of naturally fractured rock formations. Journal of Geophysical Research: Solid Earth, 123. DOI: 10.1029/2017JB015241
  11. 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, April 2018, Volume 22, Issue 2, pp 451–467. DOI: 10.1007/s10596-017-9704-6
  12. M. Schneider, B. Flemisch, R. Helmig, K. Terekhov, and H. Tchelepi. Monotone nonlinear finite-volume method for challenging grids. Computational Geosciences, April 2018, Volume 22, Issue 2, pp 565–586. DOI: 10.1007/s10596-017-9710-8
  13. 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, Vol. 26, No. 2 (2018) 1840009. DOI: 10.1142/S0218348X18400091
  14. 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. 2018. DOI: 10.1016/j.petrol.2018.02.061.
  15. R. March, F. Doster, and S. Geiger. Assessment of CO2 storage potential in naturally fractured reservoirs with dual-porosity models. Water Resources Research, 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, 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. 2018. DOI: 10.1016/j.petrol.2018.01.065
  18. A Fumagalli, E Keilegavlen. Dual virtual element method for discrete fractures networks. SIAM J. Sci. Comput., 40(1), 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, 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, 2018. DOI: 10.1007/s10596-018-9721-0
  21. H. Rezaee and D. Marcotte. Calibration of categorical simulations by evolutionary gradual deformation method. Comput. Geosci., 2018. DOI: 10.1007/s10596-017-9711-7
  22. 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, 2018. DOI: 10.1144/petgeo2017-053
  23. 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, 2018. DOI: 10.1016/j.compchemeng.2017.12.012
  24. 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, 2018. DOI: 10.1111/1365-2478.12611
  25. 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 73 (6), 1385-1402, 2017. DOI: 10.1016/j.camwa.2016.11.022
  26. 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/
  27. 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
  28. 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
  29. E. Ucar, I. Berre, and E. Keilegavlen. Post-injection normal closure of fractures as a mechanism for induced seismicity. Geophysical Research Letters 44.19 (2017): 9598-9606. DOI: 10.1002/2017GL074282
  30. 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. Vol. 40. Elsevier, 2017. 157-162. DOI: 10.1016/B978-0-444-63965-3.50028-3
  31. 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, December 2017. DOI: 10.1016/j.petrol.2017.12.035
  32. A.Capolei, L.H.Christiansen, and J.B. Jørgensen. Offset risk minimization for open-loop optimal control of oil reservoirs. IFAC-PapersOnLine, Volume 50, Issue 1, pp. 10620-10625, 2017. DOI: 10.1016/j.ifacol.2017.08.1034.
  33. 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.], v. 13, n. 5, p. 610-619, oct. 2017. 
  34. H. Singh and N. J. Huerta. Detecting subsurface fluid leaks in real-time using injection and production rates. Advances in Water Resources, 2017. DOI: 10.1016/j.advwatres.2017.10.012
  35. 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, 2017. DOI: 10.1016/
  36. 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
  37. 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 (2017). DOI: 10.1007/s10596-017-9690-8
  38. 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, 2017. DOI: 10.1016/j.petrol.2017.08.022.
  39. R. V. Ponce, F.V. Alvarado, and M.S. Carvalho. Water-alternating-macroemulsion reservoir simulation through capillary number-dependent modeling. J Braz. Soc. Mech. Sci. Eng. DOI: 10.1007/s40430-017-0885-7
  40. 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
  41. 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
  42. D. Stone, S. Geiger, G. Lord. Asynchronous discrete event schemes for PDEs. Journal of Computational Physics, Volume 342, 1 August 2017, pp. 161-176. DOI: 10.1016/
  43. 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
  44. 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.
  45. 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.
  46. K.G. Hanssen, A. Codas, and B. Foss. Closed-loop predictions in reservoir management under uncertainty. SPE Journal, 2017. DOI: 10.2118/185956-PA
  47. 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
  48. 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, 2017, DOI: 10.1016/j.compchemeng.2017.06.018.
  49. G.J. Lord and D. Stone. New efficient substepping methods for exponential timestepping. Applied Mathematics and Computation, Volume 307, 15 August 2017, pp. 342–365. DOI: 10.1016/j.amc.2017.02.052
  50. 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
  51. 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.
  52. 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, June 2017, Volume 21, Issue 3, pp 479–497. DOI: 10.1007/s10596-017-9625-4
  53. L. H. Christiansen, A. Capolei, J. B. Jørgensen. A least squares approach for efficient and reliable short-term versus long-term optimization. Computational Geosciences, June 2017, Volume 21, Issue 3, pp. 411–426. DOI: 10.1007/s10596-017-9620-9.
  54. 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.
  55. 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
  56. 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 Gas Sci Technol, Volume 7, pp. 613–623, 2017. DOI: 10.1002/ghg.1670
  57. 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. Vol 65, No 1, January 2017 pp. 337 - 364. DOI: 10.1111/1365-2478.12371.
  58. 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, December 2016, Volume 20, Issue 6, pp 1287–1300. DOI: 10.1007/s10596-016-9590-3
  59. 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, December 2016, pp.106-118. DOI: 10.1016/
  60. M. Jesmani, M.C. Bellout, R. Hanea, B. Foss. Well placement optimization subject to realistic field development constraints. Computational Geosciences. December 2016, Volume 20, Issue 6, pp 1185–1209. DOI: 10.1007/s10596-016-9584-1
  61. K.G. Hanssen, B. Foss. On selection of controlled variables for robust reservoir management. Journal of Petroleum Science and Engineering, Volume 147, November 2016, Pages 504–514, 2016. DOI: 10.1016/j.petrol.2016.08.027
  62. 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. 38.4 (2016): B593-B618. DOI: 10.1137/15M1041882
  63. 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
  64. 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
  65. 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
  66. E. G. D. Barros, P. M. J. Van den Hof, J. D. Jansen. Value of information in closed-loop reservoir management. Computational Geosciences. June 2016, Volume 20, Issue 3, pp 737–749. DOI: 10.1007/s10596-015-9509-4
  67. S. Le Clainche, F. Varas, J.M. Vega. Accelerating oil reservoir simulations using POD on the fly. International Journal for Numerical Methods in Engineering, 2016. DOI: 10.1002/nme.5356
  68. S.Navabi, R. Khaninezhad, B. Jafarpour. A unified formulation for generalized oilfield development optimization. Computational Geosciences, 2016. DOI: 10.1007/s10596-016-9594-z
  69. 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. Nonlin. Processes Geophys. Discuss., 2016. DOI: 10.5194/npg-2016-46.
  70. 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.
  71. 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
  72. 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
  73. M. Babaei and I. Pan. Performance comparison of several response surface surrogate models and ensemble methods for water injection optimization under uncertainty, Computers & Geosciences, 91:9-32, 2016. DOI: 10.1016/j.cageo.2016.02.022.
  74. 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
  75. 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.
  76. 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
  77. A. Alkhatib and M. Babaei. Applying the multilevel Monte Carlo method for heterogeneity-induced uncertainty quantification of surfactant/polymer flooding. SPE Journal, 2016. DOI: 10.2118/172635-PA
  78. H. Jeong and S. Srinivasan. Fast assessment of CO2 plume characteristics using a connectivity based proxy. International Journal of Greenhouse Gas Control, 49, 387-412, 2016. DOI: 10.1016/j.ijggc.2016.03.001.
  79. 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.
  80. 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, 137, 172–184, 2016. DOI: 10.1016/j.petrol.2015.11.023
  81. J. Zhang, and A. Revil. Cross-well 4-D resistivity tomography localizes the oil–water encroachment front during water flooding. Geophysical Journal International, 201(1), 343-354, 2015. DOI: 10.1093/gji/ggv028
  82. A. Codas, B. Foss, E. Camponogara. Output-constraint handling and parallelization for oil-reservoir control optimization by means of multiple shooting. SPE J., 20(4):856-871 , 2015. DOI: 10.2118/174094-PA
  83. K. Fossum and T. Mannseth. Assessment of ordered sequential data assimilation. Computational Geosciences Vol. 19, Issue 4, pp. 821-844, 2015. DOI: 10.1007/s10596-015-9492-9
  84. 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
  85. 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, 128, 160-176, 2015. DOI: 10.1016/j.petrol.2015.02.016
  86. 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.
  87. J. Li, Z. Lei, G. Qin, B. Gong. Effective local-global upscaling of fractured reservoirs under discrete fractured discretization. Energies 2015, 8(9), 10178-10197; DOI:10.3390/en80910178
  88. M. Babaei , A, Alkhatib, I. Pan. Robust optimization of subsurface flow using polynomial chaos and response surface surrogates. Comput. Geosci, 19(5):979–998, 2015. DOI: 10.1007/s10596-015-9516-5
  89. 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
  90. K. Katterbauer, I. Hoteit, S. Sun. History matching of electromagnetically heated reservoirs incorporating full-wavefield seismic and electromagnetic imaging. SPE J., 2015. DOI: 10.2118/173896-PA
  91. 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, 2014. DOI: 10.1007/s11242-014-0396-2.
  92. 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
  93. 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, 2014, DOI: 10.1016/j.petrol.2014.11.015.
  94. 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
  95. 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
  96. 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
  97. 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.
  98. 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.
  99. 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.
  100. 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
  101. 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
  102. 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, August 2013. DOI: 10.1111/gfl.12030
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Published February 18, 2017