薛亮
近期热点
资料介绍
个人简历
教育与工作经历:2001-2005,中国地质大学(北京),本科2005-2007,中国地质大学(北京),硕士2007-2011,美国亚利桑那大学(University of Arizona),博士2011-2014,北京大学,博士后2014-2015,中国石油大学(北京),讲师2015-现在,中国石油大学(北京),副教授教学情况: 《渗流力学》全英文课,《石油工程专业英语》等在研项目:[1] 国家自然科学基金委青年基金,负责[2] 中国石油大学(北京)拔尖人才科研启动基金,负责[3] 油气资源与探测青年培育课题,负责[4] 十三五油气重大专项子课题,负责研究领域
裂缝性油气藏(例如页岩气等)数值模拟、随机渗流模拟与自动历史拟合、数据挖掘与人工智能算法""近期论文
[1] Xue, L., Li, D., Nan, T., & Wu, J. (2018). Predictive Assessment of Groundwater Flow Uncertainty in Multiscale Porous Media by Using Truncated Power Variogram Model. Transport in Porous Media.1-18 (SCI)[2] Xue, L., Dai, C., Wu, Y., & Wang, L. (2018). Towards improving the efficiency of bayesian model averaging analysis for flow in porous media via the probabilistic collocation method. Water, 10(4), 412. (SCI)[3] Wang, L., Dai, C., & Xue, L. * (2018). A semianalytical model for pumping tests in finite heterogeneous confined aquifers with arbitrarily shaped boundary. Water Resources Research. 54(4):3207-3216 (SCI)[4] Dai, C., Xue, L. *, Wang, W., & Li, X. (2017). Analysis of the influencing factors on the well performance in shale gas reservoir. Geofluids, 2017(11), 1-12. (SCI)[5] Xue, L., Li, D., Dai, C., & Nan, T. (2017). Characterization of aquifer multiscale properties by generating random fractal field with truncated power variogram model using karhunen–loève expansion. , 2017(7), 1-11. (SCI)[6] Liu, X., Dai, C., Xue, L., & Ji, B. (2017). Estimation of fracture distribution in a co2‐eor system through ensemble kalman filter. Greenhouse Gases Science & Technology(7). (SCI)[7] Xue, L., Dai, C., & Wang, L. (2017). Development of a general package for resolution of uncertainty-related issues in reservoir engineering. Energies, 10. (SCI)[8] Dai, C., L. Xue*, D. Zhang, A. Guadagnini (2016), Data-worth Analysis through Probabilistic Collocation-based Ensemble Kalman Filter, Journal of Hydrology, 540:488-503. (SCI)[9] 薛亮, 夏强. (2016). 贝叶斯多模型分析方法的对比研究. 水力发电, 42(4), 31-35. (中文核心)[10] 薛亮, 夏强. (2016). 多模型数据价值分析在渗透率取样优化中的应用. 人民长江, 47(8), 80-84. (中文核心)[11] Dai, C., H. Li, D. Zhang, and L. Xue (2015), Efficient Data-Worth Analysis for the Selection of Surveillance Operation in a Geologic CO2 Sequestration System, Greenhouse Gases: Science and Technology, 5(5), 513-529. (SCI)[12] Xue, L. (2015). Application of the Multimodel Ensemble Kalman Filter Method in Groundwater System. Water, 7(2), 528–545. (SCI)[13] Xue, L., D. Zhang, A. Guadagnini, and S. P. Neuman (2014), Multimodel Bayesian analysis of groundwater data worth, Water Resour. Res., 50(11), 8481–8496, doi:10.1002/2014WR015503. (SCI)[14] Xue, L., and D. Zhang (2014), A multimodel data assimilation framework via the ensemble Kalman filter, Water Resour. Res., 50(5), 4197–4219, doi:10.1002/2013WR014525. (SCI)[15] Lu, D., M. Ye, S.P. Neuman, and L. Xue (2012), Multimodel Bayesian analysis of data-worth applied to unsaturated fractured tuffs, Advances in Water Resources, 35, 69-82, DOI: 10.1016/j.advwatres.2011.10.007. (SCI)[16] Neuman, S.P., L. Xue, M. Ye, and D. Lu (2012), Bayesian analysis of data-worth considering model and parameter uncertainties, Advances in Water Resources, 36, 75-85, doi:10.1016/j.advwatres.2011.02.007. (SCI)[17] 王云,于青春,薛亮 (2010), 岩溶作用下古岩溶盆地系统中介质场演化特征,现代地质,24(5):1007 -1015.[18] 王云,于青春,薛亮,马浩 (2010),裂隙岩溶含水系统溢流泉演化过程的数值模拟,中国岩溶, 29(4): 378-384.[19] 薛亮,于青春 (2009),岩溶水系统演化中河间地块分水岭消失过程的数值模拟, 水文地质与工程地质,36(2): 7-12.会议文章[1] Xue, L., & Li, D. (2019). The application of ensemble kalman filter to inversion of fracture system in shale gas reservoir. (EI)[2] Ye, M., D. Lu, S. P. Neuman, and L. Xue (2011), Multimodel bayesian analysis of data-worth applied to unsaturated fractured tuffs, Proceedings of International Conference on Groundwater: Our Source of Security in an Uncertain Future, September 19 - 21, 2011, Pretoria , South Africa.[3] S. P. Neuman, L. Xue, M. Ye, D. Lu (2011), Multimodel Assessment of the Worth of Data under Uncertainty. Waste Management 2011 proceedings, Feburary 27 – March 3, 2011, Phoenix, Arizona.论著[1] Xue, L. (2012), Multimodel Analysis of Data Collection Schemes, LAMBERT Academic Publishing, Germany.2007年10月-现在,美国地球物理协会AGU会员2014年10月-现在,石油工程师协会SPE会员SPE Journal、JPSE、Water Resources Research、Journal of Hydrology等期刊审稿人标签: 人工智能学院 中国石油大学(北京)
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