Publications

1. Bian, J., Leung, J.Y., Volkmer, N., and Zheng, J. (accepted). A data analytics approach for unravelling the complexity of methane emissions: A Permian basin study. SPE Journal.

2. Yu, H. and Leung, J.Y. (2025). A consistent interphase mass transfer method and level-set formulation for incompressible two-phase flows. Chemical Engineering Science, 306, 121256. https://doi.org/10.1016/j.ces.2025.121256

3. Zhong, C., Chen, J., and Leung, J.Y. (2025). Analysis of downhole temperature-strain response in hydraulic fracturing – A coupled geomechanics-thermal-flow simulation approach. Geoenergy Science and Engineering, 247, 213710. https://doi.org/10.1016/j.geoen.2025.213710

4. Ma, Z., Yuan, Q., Xu, Z. and Leung, J.Y. (2025). A dynamic solvent chamber propagation estimation framework using RNN for warm solvent injection in heterogeneous reservoirs. Geoenergy Science and Engineering, 244, 213405.

5. Kwon, S., Ji, M., Kim, M., Leung, J.Y., and Min, B. (2025). Determination of sequential well placements using a multi-modal convolutional neural network integrated with evolutionary optimization. Mathematics, 13(1), 36. https://doi.org/10.3390/math13010036 (open access)

6. Zhong, C. and Leung, J.Y. (2024). Coupling upscaled discrete fracture matrix and apparent permeability modelling in DFNWORKS for shale reservoir simulation. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2024.104776 (open access)

7. Chen, J., Leung, J.Y., and van der Baan, M. (2024). Characterization of low-frequency distributed acoustic sensing signals in hydraulic fracturing stimulation – A coupled flow-geomechanical simulation approach. Geomechanics for Energy and the Environment, 39, 100574. https://doi.org/10.1016/j.gete.2024.100574 (open access)

8. Xu, Z. and Leung, J.Y. (2024). Shale gas production forecasting with well interference based on spatial-temporal graph convolutional network. SPE Journal, 29(10): 5120–5131. https://doi.org/10.2118/215056-PA.

9. Xu, Z. and Leung, J.Y. (2024). Dynamic real-time production forecasting model for complex subsurface flow systems with variable-length input sequences. SPE Journal, 29(9): 4510–4526. https://doi.org/10.2118/221482-PA.

10. Andriianova, E. and Leung, J.Y. (2024). Statistical upscaling of transport parameters considering heterogeneous porosity and facies distribution – An application for warm solvent injection processes modeling. SPE Journal, 29(9): 4917–4934. https://doi.org/10.2118/221462-PA.

11. Nwabia, F. and Leung, J.Y. (2024). A Practical probabilistic history matching framework for characterizing fracture network parameters of shale gas reservoirs. Gas Science and Engineering, 126, 205326.  https://doi.org/10.1016/j.jgsce.2024.205326

12. Shi, Y., Mohanty, K.K., Leung, J.Y., and You, Q. (2024). A new mechanistic model for wettability-altering surfactant floods in carbonates. SPE Journal, 29 (5): 2672–2685. https://doi.org/10.2118/219468-PA.

13. Izadi, H., Leung, J.Y., Soroush, M., Roostaei, M., Mahmoudi, M., Stevenson, J., Tuttle, A., Sutton, C., Mirzavand, R. and Fattahpour, V. (2024). Impact of inflow and outflow rate control to minimize freshwater usage: Historical Canadian steam-assisted gravity drainage operations versus numerical simulations. Energy & Fuels, 38(4): 2952–2968. https://pubs.acs.org/doi/10.1021/acs.energyfuels.3c03801

14. Xu, Z. and Leung, J.Y. (2024). A novel formulation of RNN-based neural network with real-time updating–An application for dynamic hydraulic fractured shale gas production forecasting. Geoenergy Science and Engineering, 233, 212491. https://doi.org/10.1016/j.geoen.2023.212491  Preprint

15. Xu, Z., Chen, J., and Leung, J.Y. (2023). An improved dual-porosity dual-permeability modeling Workflow for representing nonplanar hydraulic fractures. Gas Science and Engineering, 118, 205108. https://doi.org/10.1016/j.jgsce.2023.205108  Preprint

16. Izadi, H., Leung, J.Y., Roostaei, M., Mahmoudi, M., Stevenson, J., Tuttle, A., Sutton, C., Mirzavand, R. and Fattahpour, V. (2023). Data-driven analysis of using flow control devices and extended reach wells on SAGD well performance. Geoenergy Science and Engineering, 231, 212336. https://doi.org/10.1016/j.geoen.2023.212336 

17. Andriianova, E. and Leung, J.Y. (2023). Statistical upscaling workflow for warm solvent injection processes – Longitudinal and transverse dispersivity and thermal conductivity. Chemical Engineering Science, 279, 118943. https://doi.org/10.1016/j.ces.2023.118943 Preprint

18. Izadi, H., Leung, J.Y., Roostaei, M., Mahmoudi, M., Stevenson, J., Tuttle, A., Sutton, C., Mirzavand, R. and Fattahpour, V. (2023). A practical workflow to design inflow control devices in SAGD projects to increase production and lower fresh water usage. Fuel, 129454. https://doi.org/10.1016/j.fuel.2023.129454

19. Sun, K. Liu, H., Leung, J.Y., Wang, J., Feng, Y., Liu, R., Kang, Z. and Zhang, Y. (2023). Impact of effective stress on permeability for carbonate fractured-vuggy rocks. Journal of Rock Mechanics and Geotechnical Engineering. https://doi.org/10.1016/j.jrmge.2023.04.007

20. Zhang, G. and Leung, J.Y. (2023). Design of injected water salinity for enhanced oil recovery applications in sandstone reservoirs using coupled flow-geochemical simulation. Geoenergy Science and Engineering, 224,  211614. https://doi.org/10.1016/j.geoen.2023.211614  Preprint

21. Yu, H. and Leung, J.Y. (2023). Numerical pore-scale simulation of propane injection for heavy oil displacement processes, International Journal of Multiphase Flow, 159, 104319. https://doi.org/10.1016/j.ijmultiphaseflow.2022.104319  Preprint 

22. Mayo Molina, I. and Leung, J.Y. (2023) Optimization of the steam alternating solvent process using Pareto-based multi-objective evolutionary algorithms, Journal of Energy Resources Technology, Transactions of the ASME, 145(3), 033202. https://doi.org/10.1115/1.4055292

23. Hunyinbo, S., Azom, P., Ben-Zvi, A., and Leung, J.Y. (2023). A machine learning approach to real-time uncertainty assessment of SAGD forecasts. SPE Journal, 28(1): 342–354. https://doi.org/10.2118/208962-PA

24. Mayo Molina, I., Ma, Z., and Leung, J.Y. (2022). Design of optimal operational parameters for steam-alternating-solvent processes in heterogeneous reservoirs – A multi-objective optimization approach. Computational Geosciences, 26, 1503–1535. https://doi.org/10.1007/s10596-022-10170-6  Preprint

25. Chen, J., Xu, Z., and Leung, J.Y. (2022). Analysis of fracture interference – Coupling of flow and geomechanical computations with discrete fracture modeling using MRST, Journal of Petroleum Science and Engineering, 219, 111134. https://doi.org/10.1016/j.petrol.2022.111134  Preprint

26. Izadi, H., Roostaei, M., Hosseini, S.A., Soroush, M., Mahmoudi, M., Devere-Bennett, N., Leung, J.Y., and Fattahpour, V. (2022). A hybrid GBPSO algorithm for permeability estimation using particle size distribution and porosity, Journal of Petroleum Science and Engineering, 217, 110944. https://doi.org/10.1016/j.petrol.2022.110944  Preprint

27. Ke, S., Liu, H., Leung, J.Y., Yang, M., Wang, J., Li, X., Kang, Z., and Zhang, Y. (2022). Investigation on water-drive performance of a fault-karst carbonate reservoir under different well patterns and injection-production modes based on 2D visualized physical models, Journal of Petroleum Science and Engineering, 218, 110925. https://doi.org/10.1016/j.petrol.2022.110925

28. Ma, Z., Coimbra Paniagua, L.E., and Leung, J.Y. (2022). Design of steam alternating solvent process operational parameters considering shale heterogeneity, SPE Production & Operations, 37(4): 586–602. https://doi.org/10.2118/210557-PA

29. Xu, Z. and Leung, J.Y. (2022). Analyzing the impacts of meshing and grid alignment in dual-porosity dual-permeability upscaling. SPE Reservoir Evaluation & Engineering, 25(1): 61–80.  https://doi.org/10.2118/208573-PA

30. Wang, W., Wang, Z., Leung, J. Y., Kong, C., and Jiang, Q. (2021). Petrophysical rock typing based on deep learning network and hierarchical clustering for volcanic reservoirs. Journal of Petroleum Science and Engineering, 110017. https://doi.org/10.1016/j.petrol.2021.110017

31. Andriianova, E. and Leung, J.Y. (2021). A statistical upscaling workflow for warm solvent injection processes for heterogeneous heavy oil reservoirs, Natural Resources Research, 30: 4417–4437. https://doi.org/10.1007/s11053-021-09921-6  Preprint

32. Ma, Z. and Leung, J.Y. (2021). Efficient tracking and estimation of solvent chamber development during warm solvent injection in heterogeneous reservoirs via machine learning, Journal of Petroleum Science and Engineering, 206, 109089. https://doi.org/10.1016/j.petrol.2021.109089  Preprint

33. Nwabia, F. and Leung, J.Y. (2021). Probabilistic history matching of multi-scale fractured reservoirs: Integration of a novel localization scheme based on rate transient analysis, Journal of Natural Gas Science and Engineering, 94, 104067. https://doi.org/10.1016/j.jngse.2021.104067  Preprint

34. Zhang, X., Lin, M., Okodi A., Tan L., Leung J.Y., Adeeb, S. (2021). Numerical analysis of API 5L X42 and X52 vintage pipes with cracks in corrosion defects using extended finite element method. Journal of Pressure Vessel Technology, 143(6): 061302. https://doi.org/10.1115/1.4050988

35. Hunyinbo, S., Ma, Z., and Leung J.Y. (2021). Incorporating phase behavior constraints in multi-objective optimization of warm vaporized solvent injection process, Journal of Petroleum Science and Engineering, 205, 108949. https://doi.org/10.1016/j.petrol.2021.108949  Preprint

36. Chen, T. and Leung, J.Y. (2021). Numerical simulation of nonequilibrium foamy oil for cyclic solvent injection in reservoirs after cold heavy oil production with sand. SPE Reservoir Evaluation & Engineering, 24(3): 675–691. https://doi.org/10.2118/205504-PA

37. Chang, G. and Leung, J.Y. (2021). Techniques for fast screening of 3D heterogeneous shale barrier configurations and their impacts on SAGD chamber development. SPE Journal, 26(4): 2114–2138. https://doi.org/10.2118/199906-PA

38. Zheng, J., Leung, J.Y., Sawatzky, R.P., Alvarez, J.M. (2021). A cluster-based approach for visualizing and categorizing the impacts of shale barrier configurations on SAGD production. Journal of Petroleum Science and Engineering, 203, 108664. https://doi.org/10.1016/j.petrol.2021.108664 Preprint

39. Chen, Y., Jiang, C., Leung, J.Y., Wojtanowicz, A.K., Zhang, D., and Zhong, C. (2021). Second-order correction of Klinkenberg equation and its experimental verification on gas shale with respect to anisotropic stress. Journal of Natural Gas Science and Engineering, 89,103880. https://doi.org/10.1016/j.jngse.2021.103880 

40. Nwabia, F. and Leung, J.Y. (2021). Inference of hydraulically fractured reservoir properties from production data using the indicator-based probability perturbation assisted history-matching method, Journal of Petroleum Science and Engineering, 198, 108240. https://doi.org/10.1016/j.petrol.2020.108240 Preprint

41. Liu, Y., Liu, L., Leung, J.Y., Wu, K., and Moridis, G.J. (2021). Coupled flow and geomechanics modeling of inter-fracture water injection to enhance oil recovery in tight reservoirs. SPE Journal, 26(1): 1–21. https://doi.org/10.2118/199983-PA

42. Chen, Y., Jiang, C., Leung, J. Y., Wojtanowicz, A. K., & Zhang, D. (2021). Multiscale characterization of shale pore-fracture system: Geological controls on gas transport and pore size classification in shale reservoirs. Journal of Petroleum Science and Engineering, 108442. https://doi.org/10.1016/j.petrol.2021.108442

43. Chen, T., Leung, J.Y., Bryan, J.L., and Kantzas, A. (2020). Analysis of non-equilibrium foamy oil flow in cyclic solvent injection processes, Journal of Petroleum Science and Engineering, 195, 107857.  https://doi.org/10.1016/j.petrol.2020.107857  Preprint

44. Chen, Y., Jiang, C., Leung, J.Y., Wojtanowicz, A.K., and Zhang, D. (2020). Gas slippage in anisotropically-stressed shale: An experimental study, Journal of Petroleum Science and Engineering, 195, 107620. https://doi.org/10.1016/j.petrol.2020.107620

45. Yu, H. and Leung J.Y. (2020). A sand arch stability constrained dynamic fractal wormhole growth model for simulating cold heavy oil production with sand. SPE Journal, 25(6): 3440–3456. https://doi.org/10.2118/193893-PA

46. Hamoud, M., Chalaturnyk, R., and Leung, J. (2020). Experimental studies of shear-induced changes in two-phase relative permeability, Arabian Journal of Geosciences, 13(14):1–22. https://doi.org/10.1007/s12517-020-05495-4

47. Zhong, C. and Leung J.Y. (2020). Numerical investigation of water retention in secondary fractures and apparent permeability modeling in shale gas production. Journal of Petroleum Science and Engineering, 192, 107294. https://doi.org/10.1016/j.petrol.2020.107294 Preprint

48. Ma, Z. and Leung, J.Y. (2020). Design of warm solvent injection processes for heterogeneous heavy oil reservoirs: a hybrid workflow of multi-objective optimization and proxy models. Journal of Petroleum Science and Engineering, 191, 107186. https://doi.org/10.1016/j.petrol.2020.107186  Preprint

49. Zhong, C. and Leung, J.Y. (2020). Numerical analysis of the impacts of apparent permeability modeling and secondary fracture distribution for hydraulic-fractured shale gas production analysis. SPE Reservoir Evaluation & Engineering, 23(4): 1233–1250. https://doi.org/10.2118/201201-PA

50. Liu, Y., Liu, L., Leung, J.Y., Moridis, G.J. (2020). Sequentially coupled flow and geomechanical simulation with a discrete fracture model for analyzing fracturing fluid recovery and distribution in fractured ultra-low permeability gas reservoirs. Journal of Petroleum Science and Engineering, 189, 107042. https://doi.org/10.1016/j.petrol.2020.107042

51. Ma, Z. and Leung, J.Y. (2020). Integration of deep learning and data analytics for SAGD temperature and production analysis. Computational Geosciences, 24: 1239–1255. https://doi.org/10.1007/s10596-020-09940-x Preprint

52. Ma, Z. and Leung, J.Y. (2020). Knowledge-based heterogeneity characterization framework for 3D steam-assisted gravity drainage reservoirs. Knowledge-Based Systems, 192, 105327. https://doi.org/10.1016/j.knosys.2019.105327  Preprint

53. Ma, Z. and Leung, J.Y. (2019). Integration of data-driven modeling techniques for lean zone and shale barrier characterization in SAGD reservoirs. Journal of Petroleum Science and Engineering, 176: 716–734. https://doi.org/10.1016/j.petrol.2019.01.106  Preprint

54. Martinez Gamboa, J.J. and Leung, J.Y. (2019). Design of field-scale cyclic solvent injection processes for post-CHOPS applications. Canadian Journal of Chemical Engineering, 97: 123–132. https://doi.org/10.1002/cjce.23261 Preprint

55. Liu, Y., Leung, J.Y., Chalaturnyk, R., and Virues, C.J.J. (2019). New insights on mechanisms controlling fracturing fluid distribution and its impacts on well performance in shale gas reservoirs. SPE Production & Operations, 34(3): 564–585. https://doi.org/10.2118/185043-PA

56. Rezvandehy, M., Leung, J.Y., Ren, W., Hollands, B., and Pan, G. (2019). An improved workflow for permeability estimation from image logs with uncertainty quantification. Natural Resources Research, 28(3): 777–811. https://doi.org/10.1007/s11053-018-9418-z

57. Vishal, V. and Leung, J.Y. (2018). A novel framework for integration of random-walk particle-tracking simulation in subsurface multi-phase flow modeling. Transport in Porous Media, 125(3): 609–631. https://doi.org/10.1007/s11242-018-1142-y Preprint

58. Zheng, J., Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2018). A proxy model for predicting SAGD production from reservoirs containing shale barriers. Journal of Energy Resources Technology, Transactions of the ASME, 140(12), 122903. https://doi.org/10.1115/1.4041089

59. Wang, X., Chalaturnyk, R., Huang, H., and Leung, J. (2018) Experimental study on geomechanical dilation of oil sands during cold-water injection. SPE Reservoir Evaluation & Engineering, 21(2): 433–444. https://doi.org/10.2118/174453-PA

60. Liu, Y. Leung, J.Y., and Chalaturnyk. R. (2018). Geomechanical simulation of partially-propped fracture closure and its implication on water flowback and gas production. SPE Reservoir Evaluation & Engineering, 21(2): 273–290 (selected to appear as a spotlight paper on Unconventional Resources). https://doi.org/10.2118/189454-PA

61. Zheng, J., Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2018). An AI-based workflow for estimating shale barrier configurations from SAGD production histories. Neural Computing and Applications, 31(9): 5273–5297.  https://doi.org/10.1007/s00521-018-3365-9

62. Vishal, V. and Leung, J.Y. (2018). Statistical scale-up of 3D particle-tracking simulation for non-Fickian dispersive solute transport modeling. Stochastic Environmental Research and Risk Assessment, 32(7): 2075–2091. https://doi.org/10.1007/s00477-017-1501-1 Preprint

63. Ma, Z., Leung, J.Y., and Zanon, S.D. (2018). Integration of artificial intelligence and production data analysis for shale heterogeneity characterization in SAGD reservoirs. Journal of Petroleum Science and Engineering, 163: 139–155. https://doi.org/10.1016/j.petrol.2017.12.046  Preprint

64. Wang, C., Ma, Z., Leung, J.Y., and Zanon, S. (2018). Correlating stochastically-distributed reservoir heterogeneities with steam-assisted gravity drainage production. Oil & Gas Science and Technology – Revue d'IFP Energies nouvelles, 73(9): 1–14. https://doi.org/10.2516/ogst/2017042

65. Vishal, V., Leung, J.Y. (2017). A multi-scale particle-tracking framework for dispersive solute transport modeling. Computational Geosciences, 22(2): 485–503. https://doi.org/10.1007/s10596-017-9706-4  Preprint

66. Vishal, V., Leung, J.Y. (2017). Statistical framework for scale-up of dispersivity in multi-scale heterogeneous media. Environmental Earth Sciences, 76, 624. https://doi.org/10.1007/s12665-017-6962-5  Preprint

67. Ma, Z., Leung, J.Y., and Zanon, S.D. (2017). Practical data mining and artificial neural network modeling for SAGD production analysis. Journal of Energy Resources Technology, Transactions of the ASME, 139(3), 03290. https://doi.org/10.1115/1.4035751

68. Nejadi, S., Trivedi, J.J., Leung, J. (2017). History matching and uncertainty quantification of discrete fracture network models in fractured reservoirs. Journal of Petroleum Science and Engineering, 152: 21–32. https://doi.org/10.1016/j.petrol.2017.01.048  Preprint

69. Leung, J.Y. and Srinivasan S. (2016). Effects of reservoir heterogeneity on scaling of effective mass transfer coefficient for solute transport. Journal of Contaminant Hydrology, 192: 181–193. https://doi.org/10.1016/j.jconhyd.2016.07.007  Preprint

70. Wang, M. and Leung, J.Y. (2016). Numerical investigation of coupling multiphase flow and geomechanical effects on water loss during hydraulic fracturing flow-back operation. SPE Reservoir Evaluation & Engineering, 19(3): 520–537. https://doi.org/10.2118/178618-PA

71. Yue, M., Leung, J.Y., and Dehghanpour, H. (2016). Numerical investigation of limitations and assumptions of analytical transient flow models in tight oil reservoirs. Journal of Natural Gas Science and Engineering, 30: 471–486. https://doi.org/10.1016/j.jngse.2016.01.042  Preprint

72. Li, Z., Wei, C., Leung, J., Wang, Y., and Song, H. (2015). Numerical and experimental study on gas flow in nanoporous media. Journal of Natural Gas Science and Engineering, 27(2): 738–744. https://doi.org/10.1016/j.jngse.2015.09.014

73. Vishal, V. and Leung, J.Y. (2015). Modeling impacts of subscale heterogeneities on dispersive solute transport in subsurface systems. Journal of Contaminant Hydrology, 182: 63–77. https://doi.org/10.1016/j.jconhyd.2015.08.006  Preprint

74. Nejadi, S., Leung, J.Y., Trivedi, J.J., and Virues, C. (2015). Integrated characterization of hydraulically fractured shale gas reservoirs – production history matching. SPE Reservoir Evaluation & Engineering, 18(4): 482–494. https://doi.org/10.2118/171664-PA

75. Ma, Z., Leung, J.Y., Zanon, S., and Dzurman, P. (2015). Practical implementation of knowledge-based approaches for steam-assisted gravity drainage production analysis. Expert Systems with Applications, 42(21): 7326–7343. https://doi.org/10.1016/j.eswa.2015.05.047  Preprint

76. Wang, M. and Leung, J.Y. (2015). Numerical investigation of fluid-loss mechanisms during hydraulic fracturing flow-back operations in tight reservoirs. Journal of Petroleum Science and Engineering, 133: 85–102. https://doi.org/10.1016/j.petrol.2015.05.013 Preprint

77. Wang, C. and Leung, J.Y. (2015). Characterizing the effects of lean zones and shale distribution in steam-assisted-gravity-drainage recovery performance. SPE Reservoir Evaluation & Engineering, 18(3): 329–345. https://doi.org/10.2118/170101-PA

78. Al-Gosayir, M., Babadagli, T., Leung, J., and Al-Bahlani, A. (2015). In-situ recovery of heavy-oil from fractured carbonate reservoirs: optimization of steam-over-solvent injection method. Journal of Petroleum Science and Engineering, 130: 77–85. https://doi.org/10.1016/j.petrol.2015.03.011

79. Song, Z., Song, H., Cao, Y., Killough, J., Leung, J., Huang G., and Gao, S. (2015). Numerical research on CO2 storage efficiency in saline aquifer with low-velocity non-Darcy Flow. Journal of Natural Gas Science and Engineering, 23: 338–345. https://doi.org/10.1016/j.jngse.2015.02.013

80. Song, H., Cao Y., Yu, M., Wang, Y., Killough, J.E., and Leung, J. (2015). Impact of permeability heterogeneity on production characteristics in water-bearing tight gas reservoirs with threshold pressure gradient. Journal of Natural Gas Science and Engineering, 22: 172–181. https://doi.org/10.1016/j.jngse.2014.11.028

81. Nejadi, S., Leung, J., and Trivedi, J. (2015). Characterization of non-Gaussian geologic facies distribution using ensemble Kalman filter with probability weighted re-sampling. Mathematical Geosciences, 47:193–225. https://doi.org/10.1007/s11004-014-9548-8 Preprint

82. Nejadi, S., Trivedi, J., and Leung, J.Y. (2015). Estimation of facies boundaries using categorical indicators with p-field simulation and ensemble Kalman filter (EnKF), Natural Resources Research, 24(2): 121–138. https://doi.org/10.1007/s11053-014-9233-0

83. Amirian, E., Leung, J.Y., Zanon, S.D., and Dzurmann, P.J. (2015). Integrated cluster analysis and artificial neural network modeling for steam-assisted gravity drainage performance prediction in heterogeneous reservoirs. Expert Systems with Applications, 42(2): 723–740. https://doi.org/10.1016/j.eswa.2014.08.034 Preprint

84. Leung, J.Y. (2014). Scale-up of effective mass transfer in vapor extraction process accounting for field-scale reservoir heterogeneities. Journal of Canadian Petroleum Technology, 53(5): 275–289. https://doi.org/10.2118/153862-PA

85. Shi, J., Vishal, V., and Leung, J.Y. (2014). Uncertainty assessment of vapex performance in heterogeneous reservoirs using a semi-analytical proxy model. Journal of Petroleum Science and Engineering, 122: 290–303. https://doi.org/10.1016/j.petrol.2014.07.022 Preprint

86. Shi, J. and Leung, J.Y. (2014). Semi-analytical proxy for vapex process modeling in heterogeneous reservoirs. Journal of Energy Resources Technology, Transactions of the ASME 136(3), 032904. https://doi.org/10.1115/1.4027571

87. Shi, J. and Leung, J.Y. (2014). Physics-based proxy modeling of solvent transport in VAPEX process. Canadian Journal of Chemical Engineering, 92(8): 1467–1480. https://doi.org/10.1002/cjce.21992

88. Al-Gosayir, M., Leung, J., Babadagli, T, and Al-Bahlani, A (2013). Optimization of SOS-FR (Steam-Over-Solvent Injection in Fractured Reservoirs) method using hybrid techniques: testing cyclic injection case. Journal of Petroleum Science and Engineering, 110: 74–84. https://doi.org/10.1016/j.petrol.2013.08.036  Preprint

89. Al-Gosayir, M., Leung, J., and Babadagli, T. (2012). Design of solvent-assisted SAGD processes in heterogeneous reservoirs using hybrid optimization techniques. Journal of Canadian Petroleum Technology, 51(6): 437–448. https://doi.org/10.2118/149010-PA

90. Al-Gosayir, M., Babadagli, T., and Leung, J. (2012). Optimization of SAGD and solvent additive SAGD applications: Comparative analysis of optimization techniques with improved algorithm configuration. Journal of Petroleum Science and Engineering, 98-99: 61–68. https://doi.org/10.1016/j.petrol.2012.09.008

91. Leung, J.Y. and Srinivasan, S. (2012). Scale-up of mass transfer and recovery performance in heterogeneous reservoirs. Journal of Petroleum Science and Engineering 86-87: 71–86. https://doi.org/10.1016/j.petrol.2012.03.010  Preprint

92. Leung, J.Y. and Srinivasan, S. (2011). Analysis of uncertainty introduced by scaleup of reservoir attributes and flow response in heterogeneous reservoirs. SPE Journal 16 (3): 713–724. https://doi.org/10.2118/145678-PA  

* presenter

1. Liu, H.*, Leung, J.Y., and Niu, D. (2025). MethaneS2CM: A dataset for multispectral deep methane emission detection. In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining – Datasets and Benchmarks Track, Toronto, Canada, Aug 3-7. https://openreview.net/forum?id=7lUIIH1iC4

2. Fu, Z.*, Leung, J., and Lu, S.F. (2025). Integrated Geological-Engineering Optimization Decision-Making for High-Level Radioactive Waste Disposal. The 44th Annual CNS Conference & 49th CNS/CNA (Canadian Nuclear Society/Canadian Nuclear Association) Student Conference, Toronto, Canada, Jun 8–11.

3. Sabirov, T.* and Leung, J.Y. (2025). Coupled Flow-Geomechanical Model for Hydraulic Fracturing Simulation – Impact of Variable Stress Ranges and Aperture Dynamics. Geoconvention, Calgary, Canada, May 12-14.

4. Zhang, X.*, Yoosef-Ghodsi, N., Kainat, M., Leung, J.Y., Adeeb, S. (2024). Comparative study of crack shape on the ductile fracture response of cracked pipelines, Proceedings of the ASME 2024 Pressure Vessels & Piping Conference (PVP), Bellevue, Washington, USA, July 29-Aug 2.

5. Zhang, X.*, Lin, M., Kainat, M., Yoosef-Ghodsi, N., Leung, J.Y., and Adeeb, S. (2022). Influence of Strain Hardening Model on the CorLAS™ Model for Cracked Pipelines, Proceedings of the 2022 14th International Pipeline Conference. Volume 2: Pipeline and Facilities Integrity. Calgary, Alberta, Canada, Sep 26–30.

6. Zhong, C.* and Leung J.Y. (2022). Simulation of downhole temperature distribution in fractured shale gas wells by incorporating geomechanics and apparent permeability modeling. Unconventional Resources Technology Conference (URTeC), Houston, TX, USA, Jun 20-22.

7. Zhang, G.* and Leung J.Y. (2022). Numerical simulation of geochemical effects on flowback analysis and enhanced oil recovery strategies. Unconventional Resources Technology Conference (URTeC), Houston, TX, USA, Jun 20-22.

8. Zhang, X.*, Zheng, Q., Leung, J.Y., and Adeeb, S. (2022). Reliability-based assessment of cracked pipelines using Monte Carlo simulation technique with CorLASTM. ASME Pressure Vessels & Piping Conference (PVP), Las Vegas, NV, USA, Jul 17-22.

9. Nwabia, N.* and Leung, J.Y. (2021). Incorporating the variability of uncertain DFN model parameters of a hydraulically fractured reservoir during probability-based assisted history matching: Findings and deductions. Discrete Fracture Network Engineering (DFNE) Session at Virtual American Rock Mechanics Association Symposium (ARMA 2021), Jun 25, 2021.

10. Chen, Y.*, Leung, J.Y., Jiang, C., and Wojtanowicz, A.K. (2021). Real gas effect on gas slippage phenomenon in shale. ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2021), virtual meeting, Jun 21–Jul 2.

11. Zhang, X.*, Okodi, A., Tan, L., Leung, J., and Adeeb, S. (2020). Failure pressure prediction of cracks in corrosion defects using XFEM. ASME International Pipeline Conference (IPC), Calgary, Canada, Sep 28-Oct 2.

12. Izadi, H.*, Fattahpour, V., Roostaei, M., Mahmoudi, M., Leung, J., and Devere-Bennett, J. (2020). Hybrid intelligent algorithm for permeability estimation based on particle size distribution and porosity data. Geoconvention, Calgary, Canada, Sep 21-23.

13. Chen, J.* and Leung, J.Y. (2020). Analysis of fracture interference – Coupling of flow and geomechanical computations with discrete fracture modeling. Unconventional Resources Technology Conference (URTeC), Austin, TX, USA, Jul 20-22.

14. Liu, Y.*, Liu, L., Leung, J.Y., Wu, K., and Moridis, G.J. (2020). Numerical investigation of water flowback characteristics for unconventional gas reservoirs with complex fracture geometries. Unconventional Resources Technology Conference (URTeC), Austin, TX, USA, Jul 20-22.

15. Zhang, X.*, Okodi, A., Tan, L., Leung, J., and Adeeb, S. (2020). Failure pressure prediction of crack in corrosion defects in 2D by using XFEM. ASME Pressure Vessels & Piping Conference (PVP), Minneapolis, MN, USA, Jul 19-24.

16. Chen, Y.*, Jiang, C., Leung, J.Y., Wojtanowicz, A.K., Zhang, D., and Zhong, C. (2020). Klinkenberg-corrected permeability evolution of gas shale with respect to heterogeneous stress. ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2020), Fort Lauderdale, FL, USA, Jun 28-Jul 3.

17. Zhong, C.* and Leung J.Y. (2019). Numerical investigation of water blockage in aniary fractures and apparent permeability modeling in shale gas production. Unconventional Resources Technology Conference (URTeC), Denver, CO, USA, Jul 22-24.

18. Vishal, V. * and Leung, J.Y. (2017). Statistical scale-up of dispersive transport in heterogeneous reservoir. In Gómez-Hernández J., Rodrigo-Ilarri J., Rodrigo-Clavero M., Cassiraga E., Vargas-Guzmán J. (Eds.), Geostatistics Valencia 2016, Quantitative Geology and Geostatistics, Vol. 19 (pp. 733-743). Cham: Springer.

19. Vishal, V.* and Leung, J.Y. (2016). Statistical scale-up of reservoir properties and dispersivities in heterogeneous reservoirs. In: Raju N. (Ed.), Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment (pp. 115-120). Cham: Springer.

20. Wang, M. * and Leung, J.Y. (2014). Investigating the mechanisms and time-scale of imbibition during hydraulic fracturing flow-back operation in tight reservoirs. International Discrete Fracture Network Engineering Conference, Vancouver, Canada, Oct 19-22.

21. Nejadi, S.*, Trivedi, J., and Leung, J. (2014). History matching and uncertainty quantification of fractured reservoirs by updating DFN parameters using data assimilation workflow. International Discrete Fracture Network Engineering Conference, Vancouver, Canada, Oct 19-22.

22. Nejadi, S.*, Trivedi, J., and Leung, J. (2012). Ensemble Kalman filter predictor bias correction method for non-Gaussian geological facies detection. IFAC Proceedings Volumes 45(8): 163-170.

23. Hamoud, M.*, Chalaturnyk, R.J., and Leung, J. (2012). Influences of geomechanic processes on relative permeability. In: C. Hawkes, D. Kinakin, S. Proskin, D. Thibodeau (Eds.), Proceedings of the 21st Canadian Rock Mechanics Symposium (pp. 369-381). Canadian Rock Mechanics Association.

24. Leung, J.Y.* and Srinivasan, S. (2008). Analysis of uncertainty introduced by scale-up of log-derived porosity in carbonate settings. In J. Ortiz & X. Emery (Eds.), Proceedings of Eighth International Geostatistics Congress, Vol. 2 (pp. 1059-1064). Santiago, Chile: Gecamin.

25. Leung, J.Y.* and Srinivasan, S. (2008). Direct transfer of uncertainty in reservoir models – application to uncertainty estimation due to sub-scale variance. In J. Ortiz & X. Emery (Eds.), Proceedings of Eighth International Geostatistics Congress, Vol. 2 (pp. 1065-1070). Santiago, Chile: Gecamin.

26. Leung, J.Y.* and Srinivasan, S. (2005). Direct assessment of uncertainty using stochastic flow simulation. In O. Leuangthong & C.V. Deutsch (Eds.), Geostatistics Banff 2004, Vol. 2 (pp. 631-641). Netherlands: Springer.

*presenter

1. Xu, Z.*, Liu, H., and Leung, J.Y. (2025). Deep Learning-Based Production Forecasting for Liquid-Rich Gas in the Duvernay Shale Play. Paper 224009 presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 12-13.

2. Al-Shalabi, E.W.*, Kokkinos, N.C., Rahman, M.A., Leung, J.Y., Sedlar, D.K., Pozo, M.F., and Taleghani, A.D. (2024). PE Programs Evolution Under Energy Expansion: Global Analysis of Current Status. Paper 221900 presented at the ADIPEC, Abu Dhabi, UAE, November 4-7.

3. Xu, Z. and Leung, J.Y.* (2024). Graph-Level Feature Embedding with Spatial – Temporal GCN Method for Interconnected Well Production Forecasting. Paper 220790 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, September 23-25.

4. Zhong, C.*, Chen, J., Leung, J.Y. and van der Baan, M. (2024). Modelling of production and fiber optic data for analyzing inter-well interactions in fractured shale gas reservoir. Paper 218066 presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 13-14.

5. Izadi, H.*, Roostaei, M., Mahmoudi, M., Stevenson, J., Tuttle, A., Bustamante, G., Rhein, S., Sutton, C., Mirzavand, R., Leung, J.Y. and Fattahpour, V. (2023). Flow control device and liner floatation: Key technology driver in extreme extended reach shallow steam assisted gravity drainage wells. Paper 217423 presented at the SPE Thermal Well Integrity and Production Symposium, Banff, Alberta, Canada, Nov 27-30.

6. Xu, Z.* and Leung, J.Y. (2023). Shale gas production forecasting with well interference based on spatial-temporal graph convolutional network. Paper 215056 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, October 16-18.

7. Ma, Z., Yuan, Q., Xu, Z.* and Leung, J.Y. (2023). A recurrent neural network-based solvent chamber estimation framework during warm solvent injection in heterogeneous reservoirs. Paper 214984 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, October 16-18.

8. Izadi, H.*, Roostaaei, M., Mahmoudi, M, Rosi, G., Stevenson, J., Tuttle, A., Sutton, C., Mirzavand, R., Leung, J.Y. and Fattahpour, V. (2023). Unsupervised PSD clustering to assess reservoir quality along the horizontal wells: An efficient inflow control devices design. Paper 212812 presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 15-16.

9. Bian, J.Y.*, Leung, J.Y., Volkmer, N., and Zheng, J. (2023). An improved workflow in mass balance approach for estimating regional methane emission rate using satellite measurements. Paper SPE 212791 presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 15-16.

10. Chen, J.*, Leung, J.Y., and van der Baan, M. (2023). Characterization of distributed acoustic sensing signals in hydraulic fracturing stimulation - A coupled flow-geomechanical simulation approach." Paper 212734 presented at the SPE Canadian Energy Technology Conference and Exhibition, Calgary, Alberta, Canada, March 15-16.

11. Izadi, H.*, Roostaaei, M., Mahmoudi, M, Rosi, G., Stevenson, J., Tuttle, A., Sutton, C., Mirzavand, R., Leung, J.Y., Fattahpour, V. (2022). Data-driven decision-making strategy for thermal well completion. SPE Paper SPE-212152 presented at the SPE Thermal Well Integrity and Production Symposium, Banff, Canada, Nov 29-Dec 1.

12. Hunyinbo, S.*, Azom, P., Ben-Zvi, A., and Leung, J.Y. (2022). A machine learning approach to real-time uncertainty assessment of SAGD forecasts and the optimization of steam allocation. SPE Paper 208962 presented at the Canadian Energy Technology Conference, Calgary, Mar 16-17. [highest ranked paper in the category of "heavy oil recovery"].

13. Izadi, H.*, Roostaei, M., Mahmoudi, M., Leung, J.Y., and Fattahpour, V. (2022). The impact of increase in lateral length on production performance of horizontal thermal wells. SPE Paper 208977 presented at the Canadian Energy Technology Conference, Calgary, Mar 16-17.

14. Izadi, H.*, Leung, J.Y., Hosseini, S., Soroush, M., Roostaei, M., Mahmoudi, M., Stevenson, J., Tuttle, A., Sutton, C., and Fattahpour, V., Rosi, G. (2021). Data-driven well pad development performance review: Focus on the role of line design on well performance. SPE Paper 208446 presented at the Thermal Well Integrity and Design Symposium, Banff, Nov 29-30.

15. Mayo Molina, I.*, Leung, J.Y. (2021). Design of optimal operational parameters for steam-alternating-solvent processes in heterogeneous reservoirs – A multi-objective optimization approach. SPE Paper 205120 presented at the SPE Europec featured at 82nd EAGE Conference and Exhibition, Amsterdam, The Netherlands, Oct 18-21.

16. Izadi, H.*, Roostaei, M., Soroush, M., Hosseini, S., Mohammadtabar, M., Mahmoudi, M., Leung, J., Fattahpour, V. (2021). An intelligent system for multi-label classification based on particle size and shape features using a cascade approach. SPE Paper 200949 presented at the Trinidad and Tobago Section Energy Resources Conference, virtual meeting, Jun 28-30. 

17. Soroush, M.*, Mahmoudi, M., Roostaei, M., Izadi, H., Leung, J., Fattahpour, V. (2020). Challenges from well shut-in amid the oil downturn: Long term impacts on near wellbore skin buildup and sand control. SPE Paper 203854 presented at the Thermal Well Integrity and Design Symposium, virtual meeting, Nov 30-Dec 3.

18. Ma, Z.* and Leung, J.Y. (2020). Efficient tracking of solvent chamber development during warm solvent injection in heterogeneous reservoirs via machine learning. SPE Paper 199917 presented at the Canada Heavy Oil Conference, Calgary, Canada, Sep 15-16.

19. Gao, C.* and Leung, J.Y. (2020). Techniques for fast screening of 3D heterogeneous shale barrier configurations and their impacts on SAGD production behavior. SPE Paper 199906 presented at the Canada Heavy Oil Conference, Calgary, Canada, Sep 15-16.

20. Nwabia, F.* and Leung, J.Y. (2020). Probabilistic history matching of multi-scale fractured reservoirs: Integration of a novel localization scheme based on rate transient analysis. SPE Paper 199988 presented at the Canada Unconventional Resources Conference, Calgary, Canada, Sep 15-16.

21. Liu, Y.*, Liu, L., Leung, J.Y., Wu, K., and Moridis, G.J. (2020). Coupled flow and geomechanics modeling of inter-fracture water injection to enhance oil recovery in tight reservoirs. SPE Paper 199983 presented at the Canada Unconventional Resources Conference, Calgary, Canada, Sep 15-16.

22. Hunyinbo, S.*, Ma, Z., and Leung, J.Y. (2020). Incorporating phase behavior constraints in multi-objective optimization of warm vaporized solvent injection process. SPE Paper 198925 presented at the Latin America and Caribbean Petroleum Engineering Conference, Bogota, Colombia, Jul 27-31. (withdrawn due to COVID-19 travel restrictions)

23. Chen, T.*, Leung, J.Y., Bryan, J.L., and Kantzas, A. (2020). Analysis of non-equilibrium foamy oil flow in cyclic solvent injection processes. SPE Paper 198941 presented at the Latin America and Caribbean Petroleum Engineering Conference, Bogota, Colombia, Jul 27-31. (withdrawn due to COVID-19 travel restrictions)

24. Coimbra Paniagua, L.E.*, Ma, Z., and Leung J.Y. (2020). Design Of steam alternating solvent process operational parameters considering shale heterogeneity, SPE Paper 199207 presented at the Latin America and Caribbean Petroleum Engineering Conference, Bogota, Colombia, Jul 27-31. (withdrawn due to COVID-19 travel restrictions)

25. Gao, C.*, Ma, Z., and Leung J.Y. (2019). A novel particle-tracking based proxy for capturing SAGD production features under reservoir heterogeneity. SPE Paper 195350 presented at the SPE Western Regional Meeting, San Jose, CA, USA, Apr 23-26.

26. Coimbra Paniagua, L.E.*, Ma, Z., and Leung J.Y. (2019). Practical application of Pareto-based multi-objective optimization and proxy modeling for steam alternating solvent process design. SPE Paper 195247 presented at the SPE Western Regional Meeting, San Jose, CA, USA, Apr 23-26.

27. Ma, Z. and Leung, J.Y.* (2019). Design of warm solvent injection processes for heterogeneous heavy oil reservoirs: a hybrid workflow of multi-objective optimization and proxy models. SPE Paper 193842 presented at the SPE Reservoir Simulation Conference, Galveston, TX, USA, Apr 10-11.

28. Ma, Z. and Leung, J.Y.* (2019). Integration of deep learning and data analytics for SAGD temperature and production analysis. SPE Paper 193829 presented at the SPE Reservoir Simulation Conference, Galveston, TX, USA, Apr 10-11.

29. Yu, H. and Leung, J.Y.* (2019). A geomechanically-constrained dynamic fractal wormhole growth model for simulating cold heavy oil production with sand simulation. SPE Paper 193893 presented at the SPE Reservoir Simulation Conference, Galveston, TX, USA, Apr 10-11.

30. Ma, Z.* and Leung, J.Y. (2018). Integration of data-driven models for characterizing shale barrier configuration in 3D heterogeneous reservoirs for SAGD operations. SPE Paper 189735 presented at the SPE Canada Heavy Oil Technical Conference, Calgary, Canada, Mar 13-14.

31. Zheng, J.*, Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2018).  A cluster-based approach for visualizing and quantifying the uncertainty in the impacts of uncertain shale barrier configurations on SAGD production. SPE Paper 189753 presented at the SPE Canada Heavy Oil Technical Conference, Calgary, Canada, Mar 13-14.

32. Martinez Gamboa, J.J.*, Wang, M., and Leung, J.Y. (2017). A practical approach for scale-up of solvent transport mechanisms in post-CHOPS EOR applications. SPE Paper 185516 presented at the SPE Latin America and Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina, May 17-19.

33. Zheng, J.*, Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2017). An AI-based workflow for estimating shale barrier configurations from SAGD production histories. SPE Paper 184984 presented at the SPE Canada Heavy Oil Technical Conference, Calgary, Canada, Feb 15-16.

34. Liu, Y.*, Leung, J.Y., Chalaturnyk, R., and Virues, C.J.J. (2017). Fracturing fluid distribution in shale gas reservoirs due to fracture closure, proppant distribution and gravity segregation. SPE Paper 185043 presented at the SPE Canada Unconventional Resources Conference, Calgary, Canada, Feb 15-16.

35. Ma, Z.*, Leung, J.Y., and Zanon, S.D. (2016). Integration of artificial intelligence and production data analysis for shale heterogeneity characterization in SAGD reservoirs. SPE Paper 180716 presented at the SPE Canada Heavy Oil Technical Conference, Calgary, Canada, Jun 7-9.

36. Zheng, J.*, Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2016). A proxy model for predicting SAGD production from reservoirs containing shale barriers. SPE Paper 180715 presented at the SPE Canada Heavy Oil Technical Conference, Calgary, Canada, Jun 7-9.

37. Wang, M.* and Leung, J.Y. (2015). Numerical investigation of coupling multiphase flow and geomechanical effects on water loss during hydraulic fracturing flow back operation. Unconventional Resources Technology Conference (URTeC), San Antonio, TX, USA, Jul 20-21.

38. Wang, X.*, Chalaturnyk, R., Huang, H., and Leung, J. (2015). Permeability variations associated with various stress state during pore pressure injection. 49th US Rock Mechanics and Geomechanics Symposium, San Francisco, CA, USA, Jun 28 – Jul 1.

39. Wang, X.*, Chalaturnyk, R., Huang, H., and Leung, J. (2015). Experimental study on geomechanical dilation during injection. SPE Paper 174453 presented at the SPE Canada Heavy Oil Conference, Calgary, Canada, Jun 9-11.

40. Ma, Z.*, Liu, Y., Leung, J.Y., and Zanon, S.D. (2015). Practical data mining and artificial neural network modeling for SAGD production analysis. SPE Paper 174460 presented at the SPE Canada Heavy Oil Conference, Calgary, Canada, Jun 9-11.

41. Nejadi, S.*, Leung, J.Y., Trivedi, J.J., and Virues, C.J.J. (2014). Integrated characterization of hydraulically fractured shale gas reservoirs production history matching. SPE Paper 171664 presented at the SPE/CSUR Unconventional Resources Conference – Canada, Calgary, Canada, Sep 30-Oct 2.

42. Amirian, E., Leung, J.Y.*, Zanon, S.D., and Dzurman, P.J. (2014). An integrated application of cluster analysis and artificial neural networks for SAGD recovery performance prediction in heterogeneous reservoirs. SPE Paper 170113 presented at the SPE Heavy Oil Conference Canada, Calgary, Canada, Jun 10-12.

43. Ma, Z.*, Leung, J.Y., Zanon, S.D., and Dzurman, P.J. (2014). Practical implementation of knowledge-based approaches for SAGD production analysis. SPE Paper 170144 presented at the SPE Heavy Oil Conference Canada, Calgary, Canada, Jun 10-12.

44. Wang, C.* and Leung, J.Y. (2014). Characterizing the effects of lean zones and shale distribution in SAGD recovery performance. SPE Paper 170101 presented at the SPE Heavy Oil Conference Canada, Calgary, Canada, Jun 10-12.

45. Yue, M., Leung, J.*, and Dehghanpour, H. (2013). Integration of numerical simulations for uncertainty analysis of transient flow responses in heterogeneous tight reservoirs. SPE Paper 167174 presented at the SPE Unconventional Resources Conference – Canada, Calgary, Canada, Nov 5-7.

46. Shi, J.* and Leung, J.Y. (2013). Physics-based proxy for vapex process modeling in heterogeneous reservoirs. SPE Paper 165558 presented at the SPE Heavy Oil Conference Canada, Calgary, Canada, Jun 11-13.

47. Amirian, E.*, Leung, J.Y., Zanon, S., and Dzurman, P. (2013). Data-driven modeling approach for recovery performance prediction in SAGD operations. SPE Paper 165557 presented at the SPE Heavy Oil Conference Canada, Calgary, Canada, Jun 11-13.

48. Al-Gosayir, M.*, Babadagli, T., Leung, J., and Al-Bahlani, A. (2013). Design of SOS-FR (Steam-Over-Solvent Injection in Fractured Reservoirs) method for heavy-oil recovery using hybrid optimization framework. SPE Paper 164306 presented at the 18th Middle East Oil & Gas Show and Conference, Manama, Bahrain, Mar 10-13.

49. Nejadi, S.*, Leung, J., and Trivedi, J.J. (2012). Integration of production data for estimation of natural fracture properties in tight gas reservoirs using Ensemble Kalman filter. SPE Paper 162783 presented at the 2012 SPE Canadian Unconventional Resources Conference, Calgary, Canada, Oct 30-Nov 1.

50. Leung, J.Y.* (2012). Scale-up of effective mass transfer in vapor extraction process for heterogeneous reservoirs. SPE Paper 153862 presented at the 2012 SPE Improved Oil Recovery Symposium, Tulsa, OK, USA, Apr 15-18.

51. Ojagbohunmi, S.*, Chalaturnyk, R.J., and Leung, J. (2012). Coupling of stress-dependent relative permeability and reservoir simulation. SPE Paper 154083 presented at the 2012 SPE Improved Oil Recovery Symposium, Tulsa, OK, USA, Apr 15-18.

52. Nejadi, S., Trivedi, J.J.*, and Leung, J. (2012). Estimation of geological facies boundaries using categorical indicators with p-field simulation and ensemble Kalman filter (EnKF). SPE Paper 153645 presented at the 2012 SPE Latin American and Caribbean Petroleum Engineering Conference, Mexico City, Mexico, Apr 16-18.

53. Al-Gosayir, M.*, Leung, J., and Babadagli, T. (2011). Design of solvent-assisted SAGD processes in heterogeneous reservoirs using hybrid optimization techniques. SPE Paper 149010 presented at the Canadian Unconventional Resources Conference, Calgary, Canada, Nov 15-17.

54. Al-Gosayir, M.*, Babadagli, T., and Leung, J. (2011). Optimization of solvent additive SAGD applications using hybrid optimization techniques. SPE Paper 144963 presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, Jul 19-21.

55. Nejadi, S.*, Trivedi, J., and Leung, J. (2011). Improving characterization and history matching using entropy weight ensemble Kalman filter for non-Gaussian distributions. SPE Paper 144578 presented at the SPE Western North American Regional Meeting, Anchorage, AK, USA, May 7-11.

56. Leung, J.Y.*, Srinivasan, S., and Huh, C. (2010). Accounting for heterogeneity in scale-up of apparent polymer viscosity for field scale application. SPE Paper 129798 presented at the 2010 SPE Improved Oil Recovery Symposium, Tulsa, OK, USA, Apr 24–28.

57. Leung, J.Y.* and Srinivasan, S. (2009). Scale-up of hydrocarbons recovery processes in heterogeneous reservoirs. International Association for Mathematical Geology Annual Meeting, Stanford, CA, USA, Aug 23-28.

58. Sharma, A.*, Leung, J., Srinivasan, S., and Kim, Y. (2008). An integrated approach to reservoir uncertainty assessment: Case study of a Gulf of Mexico reservoir. SPE Paper 116351 presented at the 2008 SPE Annual Technical Conference and Exhibition, Denver, CO, USA, Sep 21-24.

Srinivasan, S. and Leung, J.Y. (2022). Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics and Performance Prediction, McGraw-Hill. (Hard Cover, ISBN-10: 1259834298)

Leung, J.Y., "Multiphase Flows" in Encyclopedia of Mathematical Geosciences, edited by B. S. Daya Sagar, Q. Cheng, J. McKinley, and F. Agterberg (Springer Nature Publishers), 2023 (Series ISSN: 1388-4360).

1. Chen, J., Leung, J.Y., and van der Baan, M. (2024). Poroelastic effects sensitivity analysis on strain rate using a coupled flow-geomechanical simulation approach”, Consortium for Distributed and Passive Sensing (C-DaPS) Annual Research Report.

2. Chen, J., Zhong, C., and Leung, J.Y. (2023). “Integrating DAS and numerical simulation for analyzing fracture hits and stimulation”, Consortium for Distributed and Passive Sensing (C-DaPS) Annual Research Report.

3. Zhong, C. Chen, J., and Leung, J.Y. (2023). “Characterization of DAS/DTS signals in hydraulic fracturing stimulation - A coupled flow-geomechanical numerical simulation approach”, Consortium for Distributed and Passive Sensing (C-DaPS) Annual Research Report.

4. Chen, J. and Leung, J.Y. (2022). "Characterization of distributed acoustic sensing signals in hydraulic fracturing stimulation – A coupled flow-geomechanical simulation approach", Microseismic Industry Consortium Annual Research Report.

5. Chen, J. and Leung, J.Y. (2021). "Coupling of flow and geomechanical computations with discrete fracture modeling", Microseismic Industry Consortium Annual Research Report.

6. Chen, J. and Leung, J.Y. (2020). "Coupling of flow and geomechanical computations with discrete fracture modeling", Microseismic Industry Consortium Annual Research Report.

7. Leung, J.Y. (2019). "Data mining and knowledge discovery for advanced SAGD analysis", final report to InnoTech Alberta PhD Pilot Program.

8. Leung, J.Y. (2017). "Scale-up of dispersivity in post-CHOPS solvent injection processes", final report to Petroleum Technology Research Centre HORNET Program.

9. Leung, J.Y. (2017). "Estimation of Optimum Fine-Scale Permeability with Image Logs and Core Photographs", final report to NSERC Engage Grants Program.

10. Leung, J.Y. (2017). "Development of applied data-driven modeling approaches for SAGD operations design", final report to NSERC Collaborative Research and Development Grants Program.

11. Leung, J.Y. (2014). "Investigation and modeling of dispersive mass transfer in solvent transport for Vapex process in heterogeneous reservoirs", final report to Petroleum Technology Research Centre STEPS Program.

12. Razavi, F., Leung, J., and Boisvert, J. (2011). "Flow simulation on unstructured grids in naturally fractured reservoirs", annual report for Centre for Computational Geostatistics, University of Alberta, Canada.

13. Razavi, F., Boisvert, J., and Leung, J. (2011). "Unstructured grid construction for 3D discrete fracture network", annual report for Centre for Computational Geostatistics, University of Alberta, Canada.

14. Leung, J. and Srinivasan, S. (2010). "Scale-up of flow/transport processes in heterogeneous media", final report for Center for Frontiers of Subsurface Energy Security, University of Texas at Austin, USA.

15. Leung, J.Y. (2008). "Analysis of uncertainty in scale-up – An application to a carbonate reservoir", report to Reservoir Characterization Consortium, University of Texas at Austin, USA.

16. Leung, J.Y. (2008). "Direct propagation of uncertainty in stochastic reservoir models", report to Reservoir Characterization Consortium, University of Texas at Austin, USA.

1. Yu, H.* and Leung, J.Y. (2023). Pore-scale numerical simulation of vaporized solvent-based production processes. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, USA, Dec 11-15.

2. Kwon, S.*, Leung, J.Y. and Min, B. (2023). Efficient design of warm-VAPEX using a neural network coupled with a multi-objective optimization algorithm under geological uncertainty at an oilsands reservoir. American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, USA, Dec 11-15.

3. Xu, Z., Leung, J.Y.* (2023). A recursively enhanced GRU Model for real-time production forecasting in Central Montney shale gas reservoirs. International Association for Mathematical Geosciences Annual Meeting (IAMG 2023), Trondheim, Norway, Aug 5-12, 2023.

4. Kwon, S.*, Ji, M., Kim, M., Leung, J.Y. and Min, B. (2022). Efficient design of warm-VAPEX using a neural network coupled with a multi-objective optimization algorithm for an oilsands reservoir in Alberta, Canada. American Geophysical Union (AGU) Fall Meeting, Chicago, IL, USA, Dec 12-16.

5. Ma, Z. and Leung, J.Y.* (2019). Inference of heterogeneity and estimation of chamber development in thermal-/solvent-based oil recovery processes: Integration of machine learning and time-series data analysis. International Association for Mathematical Geosciences Annual Meeting (IAMG 2019), State College, PA, USA, Aug 12-15.

6. Zheng, J., Leung, J.Y.*, Sawatzky, R.P. and Martinez, J.M. (2019). A data-driven modeling workflow for inferring shale barrier configurations from production data: A steam-assisted gravity drainage application. International Association for Mathematical Geosciences Annual Meeting (IAMG 2019), State College, PA, USA, Aug 12-15.

7. Leung, J.Y.* (2018). A practical scale-up workflow for numerical simulation of post-CHOPS (cold heavy oil production with sand) solvent-aided processes. InterPore 10th Annual Meeting and Jubilee, New Orleans, LA, USA, May 14-17.

8. Zheng, J.*, Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2018). An AI-based workflow for estimating shale barrier configurations from SAGD production histories. 2018 Oil Sands Innovation Summit, Calgary, Canada, Jun 7 - 8.

9. Ma, Z.* and Leung, J.Y. (2018). Design of expanding solvent SAGD processes in heterogeneous reservoirs using multi-objective optimization techniques and proxy models. 2018 Oil Sands Innovation Summit, Calgary, Canada, Jun 7 - 8.

10. Zheng, J.*, Leung, J.Y., Sawatzky, R.P., and Alvarez, J.M. (2018). An AI-based workflow for estimating shale barrier configurations from SAGD production profiles. SPE Edmonton Technical Luncheon – U of A PetE Mini-Conference, Edmonton, Canada, Mar 21. (one out of the three papers selected)

11. Martinez, J.J.* and Leung, J.Y. (2018). Scale-up of solvent injection processes in post-CHOPS applications. SPE Edmonton Technical Luncheon – U of A PetE Mini-Conference, Edmonton, Canada, Mar 21. (one out of the three papers selected)

12. Ma, Z.* and Leung, J.Y. (2017). Integration of data-driven models for inference of shale barrier and lean zone configurations in thermal recovery processes. 7th International Symposium on Energy, Manchester, England, Aug 13-17.

Leung, J.Y. (2013). "Unconventional Reservoir Characterization and Development,” a 2-day short course invited by the China Alberta Petroleum Centre (CAPC) for approximately 50 attendees (engineers, geoscientists and managers), Beijing, China, Jul 15-16, 2013.

1. Leung, J.Y. (2025). "Energy Talks: Understanding Methane Emissions: Insights from Satellite Data and AI " – a public lecture series co-hosted by Edmonton Public Library and Future Energy Systems, Apr 16 

2. Leung, J.Y. (2025). “Integrating Multiphysics Simulations for Analyzing and Designing Fractured Subsurface Flow Systems”, Physics Colloquium, Department of Physics, University of Alberta, Mar 14.

3. Leung, J.Y. (2024). “How to leverage AI for organizational transformation”, Panel Discussion at the Global Energy Show Strategic Conference, Jun 11-3.

4. Leung, J.Y. (2024). “Digitalization risks & opportunities in the energy sector: AI, digital twins & e-learning”, Roundtable at the Global Energy Show Technical Conference, Jun 11-3.

5. Leung, J.Y. (2023). “Integrating DAS and numerical simulation for analyzing fracture hits and stimulation”, Consortium for Distributed and Passive Sensing (C-DaPS) Annual Sponsors Meeting, Calgary, Canada, Nov 16.

6. Leung, J.Y. (2022). “AI in Engineering”, EnggTalk #6, Technical Panel Presentation, April 28, 2022.

7. Leung, J.Y. (2022). “Ethics and Politics of Energy Systems”, Energy Systems Webinar (Panel Discussion), Mar 8.

8. Leung, J.Y. (2022). “The future of oil and gas in the age of decarbonization”, The North American Energy Dialogue Webinar (Panel Discussion), hosted by University of Alberta, University of Texas at Austin and Tecnológico de Monterrey. Mar 3 (>800 registered participants).

9. Leung, J.Y. (2022). “Energy systems pathways: How does energy get to you?”, Energy Systems Webinar (Panel Discussion), Jan 27.

10. Leung, J.Y. (2021). "Integrating data-driven models for SAGD and solvent-based process analysis", Society of Petroleum Engineers (SPE) Calgary Section Data Science and Engineering Analytics Virtual Luncheon (Webinar), Apr 8.

11. Leung, J.Y. (2020). "Energy Talks Online – Solvents: An enabling technology for cleaner heavy oil production" – a public lecture series co-hosted by Edmonton Public Library (Strathcona Branch) and Future Energy Systems, Oct 28. 

12. Leung, J.Y. (2020). "How can data analytics be used to design solvent-assisted processes?", Canadian Heavy Oil Association (CHOA) Technical Panel Presentation – Virtual Workshop, May 26. 

13. Leung, J.Y. (2017). "Forecasting production using microseismic events as a constraint", Keynote Speaker at the Microseismic Industry Consortium 8th Annual Sponsors Meeting, Calgary, Canada, Nov 15.

14. Leung, J.Y. (2016). "Modeling of solvent dispersion in post-CHOPS processes", Petroleum Technology Research Centre (PTRC) Technical Advisory Group Meeting, Calgary, Canada, Nov 22.

15. Leung, J.Y. (2016). "Integration of data-driven approaches for SAGD production analysis of inference of shale barrier configuration", ConocoPhillips Internal Meeting, Calgary, Canada, Oct 3. 

16. Leung, J.Y.  (2015). "Scale-up of dispersivity in post-CHOPS solvent injection processes", Petroleum Technology Research Centre (PTRC) Technical Advisory Group Meeting, Calgary, Canada, Nov 24.

17. Leung, J.Y. (2013). "Modeling of solvent transport in vapex process using a physics-based proxy", Petroleum Technology Research Centre (PTRC) Technical Advisory Group Meeting, Calgary, Canada, Jun 17.

18. Leung, J.Y. (2013). "Integration of production data for estimation of natural fracture properties in tight reservoirs using ensemble Kalman filter", Reserves Estimation Unconventional, Calgary, Canada, Jun 6.

19. Leung, J.Y. (2012). "Physics-based proxy modeling of solvent transport in vapex process", Petroleum Technology Research Centre (PTRC) Technical Advisory Group Meeting, Calgary, Canada, Dec 3. 

20. Leung, J.Y.. (2011). "Reservoir engineering research", UA International Winter Program, University of Alberta, Edmonton, Canada, Jan 26.

21. Leung, J.Y.  (2010). "Computational challenges in numerical reservoir simulation", IBM Research Visit, University of Alberta, Edmonton, Canada, Jun 7.

22. Leung, J.Y. (2010). "Reservoir engineering research", Petrotech Industry Educational Visit, University of Alberta, Edmonton, Canada, Jul 29.

1. Leung, J.Y. (2024-2025). "Engineering and Energy Underground: A Journey to the Subsurface Space"

a.  U School

b. Edmonton Public Schools Common Marketplace – Career Pathways Program 

2. Leung, J.Y. (2023-2024). “Exploring Energy Underground – A Journey to the Subsurface Space”

a. U School 

b. Science School by Telus World of Science

c. Future Energy Systems Class Program

d. Alberta Environthon 2024

e. Inside Education High School Campus Visit 

3. Leung, J.Y. (2021-2022). "How can Oil and Gas be Part of the Energy Transition?"

a. Edmonton Public Schools Common Marketplace – Career Pathways Program.

4. Leung, J.Y. (2021). "A panel discussion on Energy in Alberta", hosted by Inside Education –  a charitable environment and natural resources education society that supports teachers and students across Alberta; the event was attended by ~100 teacher participants, Jan 29.

5. Leung, J.Y. (2020). International Women's Day Celebration – "Women in STEM: Are We There Yet?", STEM Sisters (Edmonton Chapter), Canada, Mar 5.

6. Leung, J.Y. (2011). "Careers in engineering/science", WISEST Summer Research Program Networking Fair – Panel Discussion, University of Alberta, Edmonton, Canada, Jul 18.

7. Leung, J.Y.  (2010). "Intro to petroleum engineering", DiscoverE GEM (Girls, Engineering, and Mentorship) Club Meeting, University of Alberta, Edmonton, Canada, Nov 13, 27.

[1] U School is a week-long immersion program run by the U of A Senate

[2] Community Marketplace - A program to help students explore career options

1. Hunyinbo, S., Azom, P., Ben-Zvi, A., and Leung, J.Y., A machine learning approach to real-time SAGD production forecasting (U.S. Patent filed, 11,667,849) – application status: “issuance”. 

1. Energy Adventure – Geothermal Energy: https://energyadventure.itch.io/geothermal-energy-game (in collaboration with Future Energy Systems and the Computer Science Department at the U of A)