个人简介
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
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
[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.
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