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.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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 .
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. J. Jiang. Simulating multiphase flow in fractured media with graph neural networks. Physics of Fluids 36, 023115 (2024). DOI: 10.1063/5.0189174.
  29. 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.
  30. 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
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  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/
  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:
  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.
  27. X Fang, Y Lv, C Yuan, X Zhu, J Guo, W Liu, and H Li. Effects of reservoir heterogeneity on CO2 dissolution efficiency in randomly multilayered formations. Energies. Vol. 16(13). DOI: 10.3390/en16135219.
  28. D. Lauzon and D. Marcotte. Joint hydrofacies-hydraulic conductivity modeling based on a constructive spectral algorithm constrained by transient head data. Hydrogeology Journal, 2023. DOI: 10.1007/s10040-023-02638-1.
  29. J Wang, J Dai, B Xie, J Du, J Li, H Liu, T Wang, Z Mu, and S Tian. Gas injection capacity of slotted liner and perforation completion in underground natural gas storage reservoirs. Processes. 11(5):1471. DOI: 10.3390/pr11051471.
  30. Y Yao, L Wang, K Wang, CD Adenutsi, Y Wang, and D Feng. A novel high-dimension shale gas reservoir hydraulic fracture network parameters optimization framework. Geoenergy Science and Engineering, Volume 229, October 2023, 212155. DOI: 10.1016/j.geoen.2023.212155.
  31. Q. Liao, G. Li, S. Tian, X. Song, G. Lei, X. Liu, W. Chen, and S. Patil. An efficient analytical approach for steady-state upscaling of relative permeability and capillary pressure. Energy, Volume 282, 1 November 2023, 128426. DOI: 10.1016/
  32. H.M. Naghneh, M. Amani, A. Farhadi, and M.T. Isaai. Application of the closed loop industrial internet of things (IIoT)‐based control system in enhancing the oil recovery factor and the oil production. IET Cyber‐Physical Systems: Theory & Applications, 2023. DOI: 10.1049/cps2.12068.
  33. L. Xie, G. Li, Z. Wang, L. Cui, and M. Gong. Surrogate-assisted evolutionary algorithm with model and onfill criterion auto-configuration. IEEE Transactions on Evolutionary Computation, 2023. DOI: 10.1109/TEVC.2023.3291614.
  34. A. Kubeyev. Enhancing multi-physics modelling with deep learning: Predicting permeability through structural discontinuities. Engineering Applications of Artificial Intelligence, Volume 124, September 2023, 106562. DOI: 10.1016/j.engappai.2023.106562.
  35. W. Zhang, D. Han, B. Wang, Y. Chen, K. Jiao, L. Gong, and B. Yu. Thermal-hydraulic-mechanical-chemical modeling and simulation of an enhanced geothermal system based on the framework of extended finite element methods - Embedded discrete fracture model. Journal of Cleaner Production, June 2023, 137630. DOI: 10.1016/j.jclepro.2023.137630.
  36. X. Zhao, Z. Chen, B. Zhou, X. Liao, H. Wang, and B. Wang. Multiple flow mechanism-based numerical model for CO2 huff-n-puff in shale gas reservoirs with complex fractures. Energy & Fuels, 2023. DOI: 10.1021/acs.energyfuels.3c00931.
  37. J.A. Silva, L. Saló-Salgado, J. Patterson, G.R. Dasari, and R. Juanes. Assessing the viability of CO2 storage in offshore formations of the Gulf of Mexico at a scale relevant for climate-change mitigation. International Journal of Greenhouse Gas Control, Volume 126, June 2023, 103884. DOI: 10.1016/j.ijggc.2023.103884.
  38. N. Wang, H. Chang, X. Kong, M.O. Saar, and D. Zhang. Deep learning based closed-loop optimization of geothermal reservoir production. Renewable Energy, 2023. DOI: 10.1016/j.renene.2023.04.088.
  39. Z. Chen, B. Zhou, S. Zhang, D. Li, and K. Sepehrnoori. Pressure transient behaviors for horizontal wells with well interferences, complex fractures and two-phase flow. Geoenergy Science and Engineering, 2023. DOI: 10.1016/j.geoen.2023.211845.
  40. J. Cornelio, S. M. Razak, Y. Cho, H.-H. Liu, R. Vaidya, and B. Jafarpour. Transfer learning with prior data-driven models from multiple unconventional fields. SPE JournaD Cao, S Ayirala, M Han, S Salah - Geoenergy Science and Engineering, 2024l, 2023. DOI: 10.2118/214312-PA.
  41. P. Hu, S. Geng, X. Liu, C. Li, R. Zhu, and X. He. A three-dimensional numerical pressure transient analysis model for fractured horizontal wells in shale gas reservoirs. Journal of Hydrology, 2023. DOI: 10.1016/j.jhydrol.2023.129545
  42. J.G. Souza Debossam, G. de Souza, H.P. Amaral Souto, and A. P. Pires. Numerical simulation of single-phase two-component non-Darcy flow in naturally fractured reservoirs for enhanced gas recovery and carbon dioxide storage. Brazilian Journal of Chemical Engineering, 2023. DOI: 10.1007/s43153-023-00318-x.
  43. W. Xiong, L.H. Zhang, Y. Tian, L.X. Li, Y.L. Zhao, and Z.X. Chen. Phase equilibrium modeling for carbon dioxide capture and storage (CCS) fluids in brine using an electrolyte association equation of state. Chemical Engineering Science. April 2023, 118723. DOI: 10.1016/j.ces.2023.118723.
  44. G. Li, L. Xie, Z. Wang, H. Wang, and M. Gong. Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization. Information Sciences, Volume 634, 2023. DOI: 10.1016/j.ins.2023.03.101.
  45. X. Zhao, Z. Chen, B. Wang, X. Liao, D. Li, and B. Zhou. A multi-medium and multi-mechanism model for CO2 injection and storage in fractured shale gas reservoirs. Fuel, Volume 345, 2023, 128167. DOI: 10.1016/j.fuel.2023.128167.
  46. L. Xin, X. Rao, X. Peng, Y. Xu, and J. Chen. Production dynamic prediction method of waterflooding reservoir based on deep convolution generative adversarial network (DC-GAN). Energy Engineering 2022, 119(5), 1905-1922. DOI: 10.32604/ee.2022.019556.
  47. C. Xiao, S. Zhang, X. Ma, T. Zhou, T. Hou, and F. Chen. Deep-learning-generalized data-space inversion and uncertainty quantification framework for accelerating geological CO2 plume migration monitoring, Geoenergy Science and Engineering, 2023, 211627. DOI: 10.1016/j.geoen.2023.211627.
  48. P.K. Gupta, B. Gharedaghloo, and J.S. Price. Multiphase flow behavior of diesel in bog, fen, and swamp peats. Journal of Contaminant Hydrology, 2023, 104162. DOI: 10.1016/j.jconhyd.2023.104162.
  49. D. Wang, F. Liu, G. Li, S. He, K. Song, and J. Zhang. Characterization and dynamic adjustment of the flow field during the late stage of waterflooding in strongly heterogeneous reservoirs. Energies 2023, 16, 831. DOI: 10.3390/en16020831.
  50. F. Jiang, Y. Guo, T. Tsuji, Y. Kato, M. Shimokawara, L. Esteban, M. Seyyedi, M. Pervukhina, M. Lebedev, and R. Kitamura. Upscaling permeability using multiscale X‐ray‐CT images with digital rock modeling and deep learning techniques. Water Resources Research, 2023. DOI: 10.1029/2022WR033267-
  51. A. Alqahtani, X. He, B. Yan, and H. Hoteit. Uncertainty analysis of CO2 storage in deep saline aquifers using machine learning and bayesian optimization. Energies, 16(4), 1684, 2023. DOI: 10.3390/en16041684
  52. M. Zeynalli, E. W. Al-Shalabi, and W. AlAmeri. An extended unified viscoelastic model for predicting polymer apparent viscosity at different shear rates. SPE Reservoir Evaluation & Engineering, 26 (01): 99–121, 2023. DOI: 10.2118/206010-PA.
  53. Z. Guo, S. Sankaran, and W. Sun. Reservoir modeling, history matching, and characterization with a reservoir graph network model. SPE Reservoir Evaluation & Engineering, 2023. DOI: 10.2118/209337-PA.
  54. M. Ahmadinia, M. Sadri, B. Nobakht, and S.M. Shariatipour. Uncertainty quantification of the CO2 storage process in the Bunter Closure 36 model. Sustainability, 2023, , 15(3), 2004. DOI: 10.3390/su15032004.
  55. Y. Wang, D. Fernàndez-Garcia, and M. W.Saaltink. Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab. Computers & Geosciences, Volume 172, March 2023, 105300. DOI: 10.1016/j.cageo.2023.105300.
  56. J. Zhou, H. Wang, C. Xiao, and S. Zhang. Hierarchical surrogate-assisted evolutionary algorithm for integrated multi-objective optimization of well placement and hydraulic fracture parameters in unconventional shale gas reservoir. Energies 2023, 16(1), 303. DOI: 10.3390/en16010303.
  57. C. Xiao, S. Zhang, X. Ma, T. Zhou, T. Hou, and F. Chen. Data-driven model predictive control for closed-loop refracturing design and optimization in naturally fractured shale gas reservoir under geological uncertainty. Computers & Chemical Engineering, Volume 169, January 2023, 108096. DOI: 10.1016/j.compchemeng.2022.108096.
  58. D. Losapio and A. Scotti. Local embedded discrete fracture model (LEDFM). Advances in Water Resources, Volume 171, January 2023, 104361. DOI: 10.1016/j.advwatres.2022.104361
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  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
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  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
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