Fluid Resource Energy and Environment    FREE LAB


王九龙/Jiulong Wang, Ph.D.

Department of Big Data Technology and Application Development

Computer Network Information Center of Chinese Academy of Sciences

Email: jlwang@cnic.cn

Educational background and work experience

2021-present,Postdoctoral, Computer Network Information Center of Chinese Academy of Sciences, Department of Big Data Technology and Application Development

2018,Visiting scholar, Department of petroleum engineering, University of NorthDakota, USA

2012-2021,PhD of Fluid Mechanics, University of science and technology Beijing, School of Civil and Resource Engineering

2008-2012,Bachelor of Environmental Engineering, University of science and technology Beijing, School of Civil and Environmental Engineering

Research Interests

Oil and gas big data

Intelligent oil field

Flow mechanics

Unconventional oil and gas development

Reservoir numerical simulation method

Nano-microscale flow simulation


In Journals

[1] Xu, Q., Akkurt, N., Yang, G., Zhu, L., Shi, K., Wang, K., Wang,J.* & Du, Z. Effects of optimized operating parameters on combustion characteristics and NOx emissions of a burner based on orthogonal analysis.Journal of Thermal Science, 2021, 30(4), 1212-1223.

[2] Xu, Q., Wang, K., Zou, Z., Zhong, L., Akkurt, N., Feng, J.,... Wang, J.*, & Du, Y. A new type of two-supply, one-return, triplepipe-structured heat loss model based on a low temperature district heating system. Energy, 2021, 218, 119569.

[3] Xu, Q., Shen, M., Shi, K., Liu, Z., Akkurt, N., Xiong, Y.,... & Wang, J*. Effect of the Mixing Structure Parameters of aSelf-reflux Burner on Combustion Characteristics and NOx Emission. Journal of Thermal Science, 2021, 30(4), 1224-1236.

[4] Wang, J., Song, H.*, Wang, Y. Investigation on themicro-flow mechanism of enhanced oil recovery (EOR) by low-salinity waterflooding (LSWF) in carbonate reservoir. Fuel, 2020, 266, 117156.

[5] Wang, J., Song, H.*, Rasouli, V., & Killough, J.An integrated approach for gas-water relative permeability determination in nanoscale porous media. Journal of Petroleum Science and Engineering, 2019,173, 237-245.

[6] Wang, J., Song, H.*, Li, T., Wang, Y., & Gao, X.Simulating gas-water relative permeabilities for nanoscale porous media withinterfacial effects. Open Physics, 2017, 15, 517-524.

[7] Wang, J., Song, H.*, Zhu, W., Wang, Y., &Killough, J. Flow characteristics and a permeability model in nanoporous mediawith solid-liquid interfacial effects. Interpretation, 2017, 5, SB1-SB8.

[8] Wang, J., Zhu, W.*, Shi, C., Wang, J., & Liu, Y.Assessment of polymer flooding effects on the recovery of heterogeneous thick reservoirs with dominant channel. Journal of Petroleum Exploration andProduction Technology, 2019, 10(4), 1533-1538.

[9] Wang, J., Song, H.*, Zhu, W., He, J., & Killough,J. A fractal-based model for relative permeability in nanoscale pores with interfacial effects. Special Topics & Reviews in Porous Media. 2017, 7,335–343.

[10] Zhang, J., Song, H., Zhu, W., & Wang, J. Liquid Transport through Nanoscale Porous Media with Strong Wettability. Transport in Porous Media, 2021, 1-15.

[11] Lao, J., Song, H., Wang, C., Zhou, Y., & Wang, J.Reducing atmospheric pollutant and greenhouse gas emissions of heavy dutytrucks by substituting diesel with hydrogen in Beijing-Tianjin-Hebei-Shandongregion, China. International Journal of Hydrogen Energy, 2021, 46(34),18137-18152.

[12] Zhu, W., Zou, C., Wang, J., Liu, W., & Wang, J.A new three-dimensional effective water-flooding unit model for potential tapping of remained oil in the reservoirs with rhythmic conditions. Journal of Petroleum Exploration and Production, 2021, 11(3), 1375-1391. (SCI)

[13] 宋洪庆,都书一,周园春,王宇赫,王九龙.油气资源开发的大数据智能平台及应用分析[J].工程科学学报,2021,43(02):179-192.

[14] Du, S., Wang, R., Wei, C., Wang, Y., Zhou, Y., Wang, J.,& Song, H. The connectivity evaluation among wells in reservoir utilizing machine learning methods. IEEE Access, 2020, 8, 47209-47219.

[15] Song, H., Du, S., Wang, R., Wang, J., Wang, Y., Wei,C., & Liu, Q. Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods. Geofluids, 2020.

[16] Wang, R., Song, H.*, Wang, J., & Wang, Y. Permeability and diffusion coefficient prediction of fractal porous media with nanoscalepores for gas transport. Journal of Porous Media, 2018, 21(12).

[17] Wei, C., Song, H.*, Li, Y., Zhang, Q., Song, B., & Wang,J. Production characteristics with different superimposed modes using variogram: A case study of a super-giant carbonate reservoir in the Middle East. Energies, 2017, 10(2), 250.

[18] Li, T., Song, H.*, Wang, J., Wang, Y., &Killough, J. An analytical method for modeling and analysis gas-water relative permeability in nanoscale pores with interfacial effects. International Journalof Coal Geology, 2016, 159, 71-81.

[19] Zhu, W.*, Lou, Y., Liu, Q., Song, H., Wang, J.,& Yue, M. (2016). Rheological modeling of dispersion system of nano/microsized polymer particles considering swelling behavior. Journal of Dispersion Science and Technology, 2016, 37(3), 407-414.   

[20] Song, H., Wang, Y., Wang, J., & Li, Z. Unifying diffusion and seepage for nonlinear gas transport in multiscale porous media.Chemical Physics Letters, 2016, 661,246-250.

[21] Zhang, J., Song, H.*, Wang, J. Molecular dynamics simulation of the interfacial effects in nanoporous media. The International Conference on Computational & Experimental Engineering and Sciences ICCES2019,2019.

[22]王九龙,宋洪庆*. 考虑界面微观作用的纳米孔隙多孔介质流体渗流特征研究. 中国力学学会流体力学专业委员会.第九届全国流体力学学术会议论文集. 2016:1.


Granted Patent

[1]宋鹂影,宋洪庆,都书一,王九龙,于明旭. 一种基于渗流控制方程的储层纵向非均质性评价方法[P]. 北京市:CN112016212B,2021-08-03.

[2]岳明,宋鹂影,宋洪庆,宋田茹,王九龙,都书一. 基于物理约束的DL模型预测致密油压裂范围的方法[P]. 北京市:CN112818591B,2021-08-03.

[3]宋洪庆,张启涛,李正一,都书一,王九龙.一种基于机器学习的油田剩余油饱和度分布的预测方法[P]. 北京市:CN110807544B,2020-10-13.

[4]岳明,朱维耀,邹国栋,宋智勇,韩宏彦,宋洪庆,杨连枝,王九龙.一种预置径向孔注蒸汽热采三维物理模拟实验装置[P]. 北京:CN206888966U,2018-01-16.(实用新型)

Patent Pending

[1]朱维耀,武男,王九龙,孔德彬,岳明,高玉宝,刘文超,王继强. 一种油藏驱替单元划分方法和装置[P]. 北京市:CN113408220A,2021-09-17.

[2]岳明,宋鹂影,宋洪庆,宋田茹,王九龙,都书一. 基于物理约束的LSTM模型预测页岩油产量的方法[P]. 北京市:CN112819240A,2021-05-18.

[3]岳明,宋洪庆,宋田茹,王九龙,都书一. 一种基于深度学习的致密油藏改造效果评价方法[P]. 北京市:CN112633328A,2021-04-09.

[4]岳明,朱维耀,邹国栋,宋智勇,韩宏彦,宋洪庆,杨连枝,王九龙.一种预置径向孔注蒸汽热采三维物理模拟实验装置和方法[P]. 北京:CN107060713A,2017-08-18.