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
Preprints
  1. L. Mosser, O. Dubrule, and M. J. Blunt. DeepFlow: History  matching in the space of deep generative models. arXiv preprint , arXiv:1905.05749, 2019.
  2. C Xiao, O Leeuwenburgh, HX Lin, A Heemink. Subdomain POD-TPWL with local parameterization for large-scale reservoir history matching problems. arXiv preprint arXiv:1901.08059, 2019
  3. 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
  4. A. Capolei, L.H. Christiansen, and J.B. Jørgensen. Risk minimization in life-cycle oil production optimization. arXiv preprint arXiv:1801.00684, 2018
  5. A.A. Lukyanov and K. Vuik. A stable SPH discretization of the elliptic operator with heterogeneous coefficients. arXiv preprint arXiv:1711.11351, 2017
  6. 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.
  7. 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.
  8. 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
  9. D. Stone, G. Lord. A positivity preserving convergent event based asynchronous PDE solver. arXiv preprint:1610.06800, 2016.
2019/electronic only
  1. 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/j.jcp.2019.03.035
  2. X. Lang and D. Grana. Rock physics modelling and inversion for saturation‐pressure changes in time‐lapse seismic studies. Geophysical Prospecting, 2019. DOI: 10.1111/1365-2478.12797
  3. Zhang Liming, Cui Chenyu, Wang Yi, Zhang Kai, Sun Zhixue, Yao Jun. Reducing fracture prediction uncertainty based on time-lapse seismic (4D) and deterministic inversion algorithm. International Journal for Uncertainty Quantification, 2019. DOI: 10.1615/Int.J.UncertaintyQuantification.2019027680
  4. 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
  5. 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
  6. B. Sousedík. On adaptive BDDC for the flow in heterogeneous porous media. Applications of Mathematics, 2019. DOI: 10.21136/AM.2019.0222-18
  7. 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
  8. 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
  9. 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
  10. 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., 2019. DOI: 10.1016/j.petrol.2019.03.063
  11. T. Chung, Y. D. Wang, R. T. Armstrong, and P. Mostaghimi. Approximating permeability of microcomputed-tomography images using elliptic flow equations. SPE Journal, 2019. DOI: 10.2118/191379-PA
  12. 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, 2019. DOI: 10.2118/194504-PA
  13. M. H. Rammay, A. H. Elsheikh, and Y. Chen. Quantification of prediction uncertainty using imperfect subsurface models with model error estimation. J. Hydrol., 2019. DOI: 10.1016/j.jhydrol.2019.02.056
  14. D. Egya, S. Geiger, and P.W.M. Corbett. Pressure-transient responses of fractures with variable conductivity and asymmetric well location. SPE Res. Eval. Eng., 2019. DOI: 10.2118/190884-PA
  15. 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
  16. 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, 54. DOI: 10.1029/2018WR023415
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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, 2019. DOI: 10.1016/j.petrol.2019.01.044
  22. C. Xiao, O. Leeuwenburgh, H. X. Lin, and A. Heemink. Non-intrusive subdomain POD-TPWL for reservoir history matching. Computational Geosciences. DOI: 10.1007/s10596-018-9803-z
  23. B. Gharedaghloo and J. S.Price. Characterizing the immiscible transport properties of diesel and water in peat soil. Journal of Contaminant Hydrology. DOI: 10.1016/j.jconhyd.2018.12.005
  24. 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, 2018. DOI: 10.1007/s11242-018-1052-z
  25. 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. DOI: 10.1007/s10596-018-9782-0
  26. 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
2018
  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/j.jcp.2018.08.045
  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. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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.
  13. 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>
  14. 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
  15. 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.
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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/j.cam.2017.06.032
  24. 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
  25. 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
2017
  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.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.
  6. 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.
  7. 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
  8. 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/j.jcp.2017.09.003
  9. 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
  10. 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
  11. 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.
  12. 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
  13. 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
  14. 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
  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. 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
  2. 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.
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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.
  11. 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.
  12. 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
  13. 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
  14. 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.
  15. 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
  16. 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.
  17. 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
  18. 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
  19. 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.
  20. 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.
  21. 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. 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
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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. 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
  3. 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
  4. 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
  5. 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.
  6. 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.
  7. 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.
  8. 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.

Have you used MRST in any of your papers? If you provide us with publication details, we are happy to include your publication on this page or present a short overview on our gallery pages. Contact: Knut-Andreas.Lie@sintef.no

Published February 18, 2017