| 章涛 |
特任教授 博士生导师 | |
邮箱：20240014@upc.edu.cn | |
 教育经历 | |
2009.09-2013.06 | 中国石油大学（北京），油气储运工程专业，学士 |
2013.09-2016.06 | 中国石油大学（北京），油气储运工程专业，硕士 |
2016.08-2021.06 | 沙特阿卜杜拉国王科技大学，地球科学与工程专业，博士 |
 工作经历 | |
2024.03-至今 | 中国石油大学（华东）能源与动力工程系，特任教授 |
2021.07-2024.03 | 沙特阿卜杜拉国王科技大学，博士后 |
 研究领域/招生方向 | |
1.地下多孔介质中的流动与输运现象，包括油藏模拟和二氧化碳封存等 2.基于真实热力学状态方程和相场模型的孔观多组分多相流动模拟 3.油藏流体计算热力学 4.油藏模拟中机器学习算法的应用，包括加速闪蒸计算以及地质特征识别等 5.新能源研究，包括氢能和空间能源等 6.先进的油气输运体系研究 | |
 学术论文 | |
1.Zhang, T.,Zhang, Y., Katterbauer, K.,Al Shehri, A., Sun, S.,& Hoteit, I.(2022). Phase equilibrium in the hydrogen energy chain. Fuel, 328, 125324. (SCI, IF= 8.035，中科院1区top) 2.Zhang,T., Li, Y., Chen, Y., Feng, X., Zhu, X., Chen, Z.,... & Sun, S.(2021). Review on space energy. Applied Energy, 292, 116896. (SCI, IF=11.446，中科院1区top) 3.Zhang, T., Li, Y., Li, Y., Sun, S., & Gao, X. (2020). A self-adaptive deep learning algorithm for accelerating multi-component flash calculation. Computer Methods in Applied Mechanics and Engineering, 369, 113207. (SCI, IF=6.756，中科院1区top) 4.Zhang, T.,& Sun,S.(2019).A coupled Lattice Boltzmann approach to simulate gas flow and transport in shale reservoirs with dynamic sorption. Fuel, 246, 196-203. (SCI, IF= 8.035，中科院1区top) 5.Zhang, T.,& Sun, S.(2021). An exploratory multi-scale framework to reservoir digital twin. Advances in Geo-Energy Research, 5(3). (ESCI，中科院1区) 6.Zhang, T.,Kou, J., & Sun, S. (2017). Review on dynamic Van der Waals theory in two-phase flow. Advances in Geo-Energy Research, 1(2), 124-134. (ESCI，中科院1区) 7.Zhang, T., Liu, J., & Sun, S. (2023). Technology transition from traditional oil and gas reservoir simulation to the next generation energy development. Advances in Geo-Energy Research, 7(1), 69-70.（ESCI，中科院1区） 8.Zhang, T., Tan, G., Bai, W., Sun, Y., Wang, Y., Luo, X., ...& Sun, S.(2023). A Disturbance Frequency Index in Earthquake Forecast Using Radio Occultation Data. Remote Sensing, 15(12), 3089. (SCI, IF= 5.349，中科院2区top) 9.Zhang, T.,Zhang, Y., Katterbauer, K.,Al Shehri, A., Sun, S., & Hoteit, I. (2023). Deep learning–assisted phase equilibrium analysis for producing natural hydrogen.International Journal of Hydrogen Energy, accepted. (SCI, IF= 7.2，中科院2区top) 10.Zhang,T.,Li,Y.,Sun, S., & Bai,H.(2020). Accelerating flash calculations in unconventional reservoirs considering capillary pressure using an optimized deep learning algorithm. Journal of Petroleum Science and Engineering, 195, 107886. (SCI, IF=5.168，中科院2区top) 11.Chen, H.,Kou, J., Sun, S., & Zhang, T. (2019). Fully mass-conservative IMPES schemes for incompressible two-phase flow in porous media. Computer Methods in Applied Mechanics and Engineering, 350, 641-663. (SCI, IF=6.756，中科院1区top，因合作者数学学科习惯，按姓氏首字母排序) 12.Li, Y.,Qiao, Z., Sun, S., & Zhang, T. (2020). Thermodynamic modeling of CO2 solubility in saline water using NVT flash with the cubic-Plus-association equation of state. Fluid Phase Equilibria, 112657. (SCI, IF=2.745，中科院2区，因合作者数学学科习惯，按姓氏首字母排序) 13.Chen, H.,Sun, S., & Zhang, T. (2018). Energy stability analysis of some fully discrete numerical schemes for incompressible Navier–Stokes equations on staggered grids. Journal of Scientific Computing, 75(1), 427-456. (SCI, IF=2.843，中科院2区，因合作者数学学科习惯，按姓氏首字母排序) 14.章涛,白桦,黄天相,刘杰,孙树瑜.天然氢开采和集输中的相平衡分析.深圳大学学报理工版,2024,41(2):163-172.（中文双核心） 15.Zhang, T.,Gong, L.,Sun, S.,&Zhu, C. Y. (2023). Phase Equilibrium Studies in the Geothermal Energy Development: The Effect of Hydrogen Bond on the Multi-Component Fluid. ACS omega. (SCI, IF= 4.1，中科院3区) 16.Zhang, T,Sun, S, Bai,H (2022). Thermodynamically-consistent flash calculation in energy industry: From iterative schemes to a unified thermodynamics-informed neural network. International Journal of Energy Research, 2022, 1- 15. (SCI, IF=4.672，中科院3区) 17.Zhang, T., Bai, H., & Sun, S. (2022). Intelligent Natural Gas and Hydrogen Pipeline Dispatching Using the Coupled Thermodynamics-Informed Neural Network and Compressor Boolean Neural Network. Processes, 10(2), 428. (SCI, IF=3.352，中科院3区) 18.Zhang, T., Li, C., & Sun, S. (2022). Effect of Temperature on Oil–Water Separations Using Membranes in Horizontal Separators. Membranes, 12(2), 232. (SCI, IF=4.562，中科院3区) 19.Zhang, T., Bai, H., & Sun, S. Intelligent control on urban natural gas supply using a deep-learning-assisted pipeline dispatch technique (2022). Frontiers in Energy Research, 968. (SCI, IF=3.858，中科院4区) 20.Zhang, T., & Sun, S. (2021). Thermodynamics-Informed Neural Network (TINN) for Phase Equilibrium Calculations Considering Capillary Pressure. Energies, 14(22), 7724. (SCI, IF=3.004，中科院4区) 21.Zhang, T.,Bai, H., & Sun, S. (2021). A self-adaptive deep learning algorithm for intelligent natural gas pipeline control. Energy Reports, 7, 3488-3496 (SCI, IF=4.937，中科院3区) 22.Zhang T.,Bai Hua, Sun Shuyu. Fast and accurate phase equilibrium calculations for condensate shale gas reservoirs. Chinese Journal of Theoretical and Applied Mechanics（力学学报）, 2021, 53(8): 1-12 doi: 10.6052/0459-1879-21-229 (EI,中文核心 ) 23.Zhang, T.,Li, Y., Li, C., & Sun, S.(2020). Effect of salinity on oil production: review on low salinity waterflooding mechanisms and exploratory study on pipeline scaling. Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles, 75, 50. (SCI, IF=1.708，中科院3区) 24.Zhang, T., Li, Y., Cai, J., Meng, Q., Sun, S., & Li, C. (2020). A Digital Twin for Unconventional Reservoirs: A Multiscale Modeling and Algorithm to Investigate Complex Mechanisms. Geofluids, 2020. (SCI, IF=2.176，中科院4区) 25.Zhang, T., Sun, S., & Song, H. (2019). Flow mechanism and simulation approaches for shale gas reservoirs: A review. Transport in Porous Media, 126(3), 655-681. (SCI, IF=3.61，中科院3区) 26.Zhang,T.,Li, Y., & Sun, S. (2019). Phase equilibrium calculations in shale gas reservoirs. Capillarity, 2(1), 8-16. 27.Qiao,Z., Sun, S., Zhang, T., & Zhang, Y. (2019). A New Multi-Component Diffuse Interface Model with Peng-Robinson Equation of State and Its Scalar Auxiliary Variable (SAV) Approach. Communications in Computational Physics, 26(5). (SCI, IF=3.791，中科院3区，因合作者数学学科习惯，按姓氏首字母排序) 28.Zhang, T.,Salama, A.,Sun, S., & El-Amin, M. F. (2015). Pore network modeling of drainage process in patterned porous media: a quasi-static study. Journal of Computational Science, 9, 64-69. (SCI, IF=3.817，中科院3区) 29.Liu, J.,Zhang, T*., & Sun, S.* (2024). Molecular mechanisms of hydrogen leakage through caprock in moisture and residual gas conditions: A molecular dynamics–Monte Carlo study. Physics of Fluids, 36(2).（SCI, IF=4.6, 中科院1区） 30.Zhang, Y., Yang, X., Zhang, L., Li, Y., Zhang, T*., & Sun, S.* (2023). Energy landscape analysis for two-phase multi-component NVT flash systems by using ETD type high-index saddle dynamics. Journal of Computational Physics, 111916. (SCI, IF= 4.645，中科院1区) 31.刘杰, 陈银, 章涛*, & 孙树瑜*. (2023). 页岩纳米有机质孔隙中的润湿性研究. 力学学报, 55, 1-9. (EI, 中文双核心) 32.Liu, J.,Zhang, T*., & Sun, S*. (2023). Molecular Dynamics Simulations of Ion Transport through Protein Nanochannels in Peritoneal Dialysis. International Journal of Molecular Sciences, 24(12), 10074. (SCI, IF= 6.208，中科院2区top) 33.Liu, J.,Tang, Q., Kou, J., Xu, D., Zhang, T*., & Sun, S*. (2022). A quantitative study on the approximation error and speed-up of the multi-scale MCMC (Monte Carlo Markov chain) method for molecular dynamics. Journal of Computational Physics, 111491. (SCI, IF= 4.645，中科院1区) 34.Liu, J., Zhang, T*., & Sun, S*. (2022).Mechanism Analysis of Shale Gas Adsorption under Carbon Dioxide–Moisture Conditions: A Molecular Dynamic Study. Energy & Fuels. （SCI, IF= 4.654，中科院3区） 35.Liu, J., Zhang, T*., & Sun, S*. (2022). Study of the Imbibition Phenomenon in Porous Media by the Smoothed Particle Hydrodynamic (SPH) Method. Entropy, 24(9), 1212. (SCI, IF= 2.738，中科院3区) 36.Liu, J.,Zhang, T*., & Sun, S*. (2022). Stability analysis of the water bridge in organic shale nanopores: A molecular dynamic study. Capillarity, 5(4), 75-82. 37.Shi,J.,Gong, L., Zhang, T*.,& Sun, S*.(2022). Study of the Seawater Desalination Performance by Electrodialysis. Membranes, 12(8), 767. (SCI, IF=4.562，中科院3区) 38.Liu, J.,Zhang, T*., & Sun, S*.(2023). Review of deep learning algorithms in molecular simulations and perspective applications on petroleum engineering. Geoscience Frontiers, 101735. (SCI, IF=8.9, 中科院1区top) 39.Yuqi Wu,Senyou An, Pejman Tahmasebi, Keyu Liu, Chengyan Lin, Serveh Kamrava, Chang Liu, Chenyang Yu, Tao Zhang, Shuyu Sun, Samuel Krevor, Vahid Niasar. (2023). An End-to-End Approach to Predict Physical Properties of Heterogeneous Digital Porous Media: Coupling Deep Learning and Physics-Based Features. Fuel. (SCI, IF= 8.035，中科院1区top) 40.Zhang, Y.,Katterbauer, K., Zhang, T., AlShehri, A. A., & Hoteit, I. (2023). Deep learning-aided image-oriented history matching of geophysical data. Computational Geosciences, 1-14. (SCI, IF=2.5，中科院3区) 41.Chen,K.,Xu, H., Zhang, Z., Meng, Q., Zhang, T. Modeling of counter-current spontaneous imbibition in independent capillaries with unequal diameters. Capillarity, 2022, 5(6): 115-122. 42.Chen, S., Li, Y., Zhang, T., Zhu, X., Sun, S., & Gao, X. (2021). Lunar features detection for energy discovery via deep learning. Applied Energy, 296, 117085. (SCI, IF=11.446，中科院1区top) 43.Salama, A., Alyan, A., El Amin, M., Sun, S., Zhang, T., & Zoubeik, M. (2021). The Effect of the Oleophobicity Deterioration of a Membrane Surface on Its Rejection Capacity: A Computational Fluid Dynamics Study. Membranes, 11(4), 253. (SCI, IF=4.562，中科院3区) 44.Salama, A., Sun, S., & Zhang, T. (2021). A Unified, One Fluid Model for the Drag of Fluid and Solid Dispersals by Permeate Flux towards a Membrane Surface. Membranes, 11(2), 154. (SCI, IF=4.562，中科院3区) 45.Sun, S., & Zhang, T. (2020). A 6M digital twin for modeling and simulation in subsurface reservoirs. Advances in Geo-Energy Research, 4(4), 349-351. (ESCI，中科院4区) 46.Li, Y.,Zhang, T., Sun, S., & Gao, X. (2019). Accelerating flash calculation through deep learning methods. Journal of Computational Physics, 394, 153-165. (SCI, IF= 4.645，中科院1区) 47.Li, J.,Zhang, T., Sun, S., & Yu, B. (2019). Numerical investigation of the POD reduced-order model for fast predictions of two-phase flows in porous media. International Journal of Numerical Methods for Heat & Fluid Flow. (SCI, IF=5.181，中科院3区) 48.Li, Y.,Zhang, T., & Sun, S. (2019). Acceleration of the NVT Flash Calculation for Multicomponent Mixtures Using Deep Neural Network Models.Industrial & Engineering Chemistry Research, 58(27), 12312-12322. (SCI, IF=4.326，中科院3区) 49.Liu,P.,Zhang, T.,& Sun, S. (2019). A tutorial review of reactive transport modeling and risk assessment for geologic CO2 sequestration.Computers & Geosciences, 127, 1-11. (SCI, IF=5.168，中科院2区) 50.Wang, M.,Yu, G., Zhang, X., Zhang, T., Yu, B., & Sun, D. (2017). Numerical investigation of melting of waxy crude oil in an oil tank. Applied Thermal Engineering, 115, 81-90. (SCI, IF=6.465，中科院1区top) 51.Zhang, Y., Katterbauer, K.,Zhang, T., & Hoteit, I.(2022, June). Time-Lapse Electromagnetic History Matching in a Fractured Carbonate Reservoir.In 83rd EAGE Annual Conference & Exhibition (Vol. 2022, No.1, pp.1-5). European Association of Geoscientists & Engineers. 52.Zhang, T.,Bai, H., & Sun, S. (2020). EnerarXiv.http://www.enerarxiv.org/page/thesis.html?id=Automated control on natural gas pipelines using deep learning algorithms. 2299 53.Zhang, T., Li, Y., & Sun, S. (2019, June). Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods. In International Conference on Computational Science (pp. 623-632). Springer, Cham. 54.Zhang, T.,Li, Y., Cai, J., & Sun, S.(2019, March). Recent Progress on Phase Equilibrium Calculation in Subsurface Reservoirs Using Diffuse Interface Models.In International Conference on Computational & Experimental Engineering and Sciences (pp. 969-982). Springer, Cham. 55.Zhang,T.,& Sun, S. (2018, June). A compact and efficient lattice Boltzmann scheme to simulate complex thermal fluid flows. In International Conference on Computational Science (pp. 149-162). Springer, Cham. 56.Zhang, T., Sun, S., & Yu, B. (2017). A fast algorithm to simulate droplet motions in oil/water two phase flow. 57.Zhang, T.,Salama, A.,Sun, S.,& Zhong, H.(2015). A compact numerical implementation for solving Stokes equations using matrix-vector operations. Procedia Computer Science, 51, 1208-1218. | |
 发明专利 | |
1.Sun, S.,Zhang, T., Li, Y., et al. PORE-SCALE, MULTI-COMPONENT, MULTI-PHASE FLUID MODEL AND METHOD: U.S.Patent 17/298,969 [P]. 2021-6-02. 2. 宇波，张健，王欣然，章涛，张欣雨。原油管道预热投产热力过程仿真方法。CN104123425B，2017.12.08。 3. 宇波，张欣雨，章涛，谢静，王岩。空管段充液过程的模拟方法。CN104102780B，2017.05.24。 | |
 获奖荣誉 | |
The Best Paper Award , the 9th Asian Symposium on Computational Heat Transfer and Fluid Flow (ASCHT), 2023 最佳论文奖，第十七届全国渗流力学学术会议, 2023年，北京，中国 AGER第二届优秀国际青年编委 The Best Paper Award , the 8th Asian Symposium on Computational Heat Transfer and Fluid Flow (ASCHT), 2021 最佳论文奖，第十六届全国渗流力学学术会议, 2021年，葫芦岛，中国 The Best Poster Award, the 1st InterPore Saudi Chapter Annual Meeting, 2021 中国国家奖学金，2015年 | |
学术兼职 | |
1．InterPore沙特分会秘书长 2．SCI期刊Frontiers in Physics的编委会成员，Gas Science and Engineering等四本SCI期刊的客座编辑/主编 3.组委会秘书长，The 9th Asian Symposium on Computational Heat Transfer and Fluid Flow (ASCHT2023),Thuwal, Saudi Arabia,Dec.6th–8th, 2023 4.研讨会联席主席，分会9“The Future of Technologies in Energy Transition: Modeling,Simulation and Machine Learning”, in the ICCES 2023 Conference (第29届国际计算和实验工程科学大会)，May. 2nd – May 5th, 2023, https://www.iccesconf.org/symposia/ 5.研讨会主席,分会39“Engineering Computations in Energy Industry”in the ICNAAM 2022 Conference (20th International Conference of Numerical Analysis and Applied Mathematics，第20届国际数值分析与应用数学大会), Sep. 19th – 25th, 2022, https://icnaam.org/sessions_minisymposia.htm 6.研讨会联席主席，专题研讨会“Porous Media for Energy Applications”in ICAE2022 Conference (International Conference on Applied Energy), 2022年国际应用能源大会，Aug. 9th – 11th, 2022 7.研讨会主席，分会“MISCELLANEOUS 3”in the 16th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics(HEFAT),第16届国际传热流体力学与热力学会议Aug.8th–10th,2022, https://whova.com/portal/webapp/hefat_202208/Agenda/2562814 8.组委会秘书长, KAUST Workshop on Porous Media, KAUST, Thuwal, Saudi Arabia, Nov. 8th – 10th, 2021 9.组委会秘书长, 第一届地球能源大数据学术会议, Wuhan, China, July 16th – 17th, 2021 | |
