中国矿业大学(北京)地球科学与测绘工程学院

学校主页 OA
首页 - 师资队伍 - 能源地质系 - 正文

个人简介:

王珊,博士,讲师。

2023年毕业于Ghent University(比利时根特大学)获地质学博士学位。2021-2023年多次赴瑞士同步辐射光源(PSI)开展基于高分辨率成像技术的微观渗流科研工作。主要从事储层表征、非常规油气藏开发、地下储能(地下储氢/地下储碳)等方面的研究。在Proceedings of the National Academy of SciencesWater Resources ResearchInternational Journal of Coal Geology、天然气工业等国内外期刊发表学术论文20余篇,授权发明专利2项。


电子邮件:shanwang_sw@163.com。


研究方向:

1.煤层气等非常规油气藏开发

2.微观尺度流体渗流理论与实验研究

3.油气藏数值模拟


代表性科研项目:

1.中石油委托项目:地下储氢库气液固综合作用机理研究(2023-2025)

2.比利时佛兰德斯研究基金会项目:Energy storage in the geological subsurface: impact of salt precipitation in porous media 2020-2023)

3.比利时佛兰德斯研究基金会项目:VisioFlow: Advanced macro-model generation based on micro-scale visualization experiments of two-phase flow through porous sedimentary rocks2019-2022)

4.国家科技重大专项子课题:煤层气定量化排采设计方法研究(2016-2019)

5.国家自然科学基金青年科学基金:页岩气扩散渗流机理及产气规律研究(2016-2018)


代表性论著:

1. Wang S, Pan S, Tang Y, et al. Experimental study of hydrogen flow behavior in sandstone at the core scale during cyclic hydrogen and water injections[J]. Journal of Energy Storage, 2025, 123: 116810.

2. Wang S, Mu Y, Gao Y, et al. Influence of injection and withdrawal rates on hydrogen distribution in sandstone: Implications for hydrogen storage in porous reservoirs[J]. International Journal of Hydrogen Energy, 2024, 90: 1263-1270.

3. Wang S, Pan S, Tang Y, et al. Hydrogen-methane transport in clay nanopores: Insights from molecular dynamics simulations[J]. International Journal of Hydrogen Energy, 2024, 69: 1450-1459.

4. Wang S, Mascini A, Ruspini L C, et al. Imaging and Modeling the Impact of Multi‐Scale Pore Connectivity on Two‐Phase Flow in Mixed‐Wet Rock[J]. Water Resources Research, 2023, 59(7): e2022WR034308.

5. Wang S, Spurin C, Bultreys T. Pore‐scale imaging of multiphase flow fluctuations in continuum‐scale samples[J]. Water Resources Research, 2023, 59(6): e2023WR034720.

6. Wang S, Ruspini L C, Øren P E, et al. Anchoring multi‐scale models to micron‐scale imaging of multiphase flow in rocks[J]. Water Resources Research, 2022, 58(1): e2021WR030870.

7. Wang S, Shi J, Wang K, et al. Apparent permeability model for gas transport in shale reservoirs with nano-scale porous media[J]. Journal of Natural Gas Science and Engineering, 2018, 55: 508-519.

8. Wang S, Shi J, Wang K, et al. New coupled apparent permeability models for gas transport in inorganic nanopores of shale reservoirs considering multiple effects[J]. Energy & fuels, 2017, 31(12): 13545-13557.

9. Shi J, Wang S, Wang K, et al. An accurate method for permeability evaluation of undersaturated coalbed methane reservoirs using early dewatering data[J]. International Journal of Coal Geology, 2019, 202: 147-160.

10. Shi J, Wang S, Zhang H, et al. A novel method for formation evaluation of undersaturated coalbed methane reservoirs using dewatering data[J]. Fuel, 2018, 229: 44-52.

11. Shi J, Wang S, Xu X, et al. A semianalytical productivity model for a vertically fractured well with arbitrary fracture length under complex boundary conditions[J]. SPE Journal, 2018, 23(06): 2080-2102.


 
 

中国矿业大学(北京)地球科学与测绘工程学院

校址:北京市海淀区学院路丁11号 邮编:100083