姓名： 廖勤拙
职称：教授/博导
教育配景：
2009-2014 美国南加州大学 ，石油工程 ，直博
2005-2009 北京大学 ，力学 ，本科
事情履历：
2022-至今 凯时（北京） ，石油工程学院 ，油气井工程系 ，副教授/教授
2017-2021 沙特法赫德国王石油与矿业大学 ，石油工程系 ，助理教授
2016-2017 北京大学 ，能源与资源工程系 ，博士后
2015-2016 美国斯坦福大学 ，能源与资源工程系 ，博士后
小我私家主页： https://faculty.cup.edu.cn/liaoqinzhuo/
电子邮箱： liaoqz@cup.edu.cn
研究偏向： 智能油气、完井压裂、机械学习、署理模子、标准升级
教学情形： 《人工智能概论与实战》、《高等完井工程(全英文)》等
主要学术效果：
一直从事智能油气开采的理论与要领研究 ，主持国际/海内科研项目10余项 ，以第一/通讯作者揭晓论文SCI收录30余篇 ，大部分揭晓在中科院TOP期刊/行业顶刊 ，包括4篇WRR、2篇JOH、2篇AWR、2篇SPEJ、3篇JPSE等。国际聚会特邀报告2次、专题报告30余次� ；衽壹肚嗄耆瞬� ，石油工程顶刊SPE Journal Outstanding Technical Reviewer Award。现在主要开展智能完井压裂理论与手艺研究。
代表性论文：
1. 第一作者期刊论文
[1] Qinzhuo Liao, Gensheng Li*, Jun Li, Liang Xue, Shouceng Tian, Xianzhi Song (2023). Convergence analysis of lattice boltzmann method for stokes flow in digital rock characterization. Geoenergy Science and Engineering, 230, 212161.
[2] Qinzhuo Liao, Gensheng Li*, Shouceng Tian, Xianzhi Song, Gang Lei, Xu Liu, Weiqing Chen, Shirish Patil (2023). An efficient analytical approach for steady-state upscaling of relative permeability and capillary pressure. Energy, 282, 128426.
[3] Qinzhuo Liao, Shaohua You*, Maolei Cui, Xiaoxi Guo, Murtada Saleh Aljawad, and Shirish Patil (2023). Digital core permeability computation by image processing techniques. Water, 15(11): 1995.
[4] Qinzhuo Liao, Daolun Li*, Kai Zhang, Haibin Chang (2023). Applications of artificial intelligence in the oil and gas industry. Frontiers in Earth Science, 11, 1163593.
[5] Qinzhuo Liao* (2023), Ensemble smoother with enhanced initial samples for inverse modeling of subsurface flow problems. Arabian Journal for Science and Engineering, 48, 9535–9548.
[6] Qinzhuo Liao, Liang Xue, Bin Wang, and Gang Lei* (2022). A new upscaling method for microscopic fluid flow based on digital rocks. Advances in Geo-Energy Research, 6(4): 357-358.
[7] Qinzhuo Liao, Liang Xue*, Gang Lei, Xu Liu, Shuyu Sun, Shirish Patil (2022). Statistical prediction of waterflooding performance by K-means clustering and empirical modeling, Petroleum Science, 19(3), 1139-1152.
[8] Qinzhuo Liao, Gang Lei, Dongxiao Zhang*, Shirish Patil (2021). Estimation of Macrodispersivity in Bounded Formations by Circulant Embedding and Analysis of Variance, Water Resources Research, 57(7), e2020WR029385.
[9] Qinzhuo Liao*, Khalid Alsamadony, Gang Lei, Abeeb Awotunde, Shirish Patil (2021). Reservoir history matching by ensemble smoother with principal component and sensitivity analysis for heterogeneous formations, Journal of Petroleum Science and Engineering, 198, 108140.
[10] Qinzhuo Liao, Gang Lei, Zhijie Wei, Dongxiao Zhang*, Shirish Patil (2020). Efficient analytical upscaling method for elliptic equations in three-dimensional heterogeneous anisotropic media, Journal of Hydrology, 583, 124560.
[11] Qinzhuo Liao*, Lingzao Zeng, Haibin Chang, Dongxiao Zhang (2019). Efficient history matching using Markov chain Monte Carlo by means of transformed adaptive stochastic collocation method. SPE Journal, 24(4), 1468–1489, SPE-194488-PA.
[12] Qinzhuo Liao*, Gang Lei, Dongxiao Zhang, Shirish Patil (2019). Analytical solution for upscaling hydraulic conductivity in anisotropic heterogeneous formations. Advances in Water Resources, 128, 97–116.
[13] Qinzhuo Liao*, Dongxiao Zhang, Hamdi Tchelepi (2017). Nested sparse grid collocation method with delay and transformation for subsurface flow and transport problems. Advances in Water Resources, 104, 158–173.
[14] Qinzhuo Liao*, Dongxiao Zhang, Hamdi Tchelepi (2017). A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media. Journal of Computational Physics, 30, 828–845.
[15] Qinzhuo Liao, Dongxiao Zhang* (2016). Probabilistic collocation method for strongly nonlinear problems: 3. Transform by time. Water Resources Research, 52(3), 2366–2375.
[16] Qinzhuo Liao, Dongxiao Zhang* (2015). Data assimilation for strongly nonlinear problems by transformed ensemble Kalman filter. SPE Journal, 20(1), 202–221, SPE-173893-PA.
[17] Qinzhuo Liao, Dongxiao Zhang* (2015). Constrained probabilistic collocation method for uncertainty quantification of geophysical models. Computational Geosciences, 19(2), 1–16.
[18] Qinzhuo Liao, Dongxiao Zhang* (2014). Probabilistic collocation method for strongly nonlinear problems: 2. Transform by displacement. Water Resources Research, 50(11), 8736–8759.
[19] Qinzhuo Liao, Dongxiao Zhang* (2013). Probabilistic collocation method for strongly nonlinear problems: 1. Transform by location. Water Resources Research, 49(12), 7911–7928.
[20] Qinzhuo Liao (co-first), Jianyong Huang, Tao Zhu, Chunyang Xiong*, Jing Fang (2010). A hybrid model to determine mechanical properties of soft polymers by nanoindentation. Mechanics of Materials, 42(12), 1043–1047.
2. 通讯作者期刊论文
[1] Dongshuang Li, Shaohua You, Qinzhuo Liao*, Gang Lei, Xu Liu, Weiqing Chen, Huijian Li, Bo Liu, Xiaoxi Guo (2023). Permeability prediction of nanoscale porous materials using discrete cosine transform-based artificial neural networks. Materials, 16(13), 4668.
[2] Dongshuang Li, Shaohua You, Qinzhuo Liao*, Mao Sheng, Shouceng Tian (2023). Prediction of Shale Gas Production by Hydraulic Fracturing in Changning Area Using Machine Learning Algorithms. Transport in Porous Media, 149, 373–388.
[3] Miao Jin, Qinzhuo Liao*, Shirish Patil, Abdulazeez Abdulraheem, Dhafer Al-Shehri, Guenther Glatz (2022). Hyperparameter Tuning of Artificial Neural Networks for Well Production Estimation Considering the Uncertainty in Initialized Parameters. ACS Omega, 7(28), 24145–24156.
[4] Gang Lei, Qinzhuo Liao*, Shirish Patil (2021). A New Mechanistic Model for Conductivity of Hydraulic Fractures with Proppants Embedment and Compaction, Journal of Hydrology, 601, 126606.
[5] Gang Lei, Qinzhuo Liao*, Shirish Patil, Yang Zhao (2021). A new permeability model for argillaceous porous media under stress dependence with clay swelling, International Journal of Engineering Science, 160, 103452.
[6] Gang Lei, Qinzhuo Liao*, Shirish Patil (2020). A mechanistic model for permeability in deformable gas hydrate-bearing sediments, Journal of Natural Gas Science and Engineering, 83, 103554.
[7] Gang Lei, Qinzhuo Liao*, Shirish Patil, Yang Zhao (2019). Effect of clay content on permeability behavior of argillaceous porous media under stress dependence: A theoretical and experimental work, Journal of Petroleum Science and Engineering, 179, 787-795.
[8] Gang Lei, Qinzhuo Liao*, Dongxiao Zhang (2019). A new analytical model for flow in acidized fractured-vuggy porous media, Scientific Reports, 9(1), 8293.
[9] Gang Lei, Qinzhuo Liao*, Shirish Patil (2019). A fractal model for relative permeability in fractures under stress dependence, Fractals, 27(6), 1950092.
[10] Yi Hong, Qinzhuo Liao*, Celine Bonhomme, Ghassan Chebbo (2019). Physically-based urban stormwater quality modelling: an efficient approach for calibration and sensitivity analysis, Journal of Environmental Management, 246, 462–471.
主要科研项目：
[1] 中国国家自然科学基金 ，国家级青年人才项目 ，智能油气开采 ，认真人
[2] 中国国家自然科学基金 ，面上项目 ，枯竭油气藏储氢循环注采多场耦协力学机理 ，认真人
[3] 中国国家自然科学基金 ，青年项目 ，非均质油藏多相流模拟的升标准要领 ，认真人
[4] 中国博士后科学基金 ，面上项目一等资助 ，含高渗透通道油藏水驱开发的网格粗化研究 ，认真人
[5] 凯时(北京) ，优异青年学者人才妄想启动基金 ，非通例储层微观渗流特征与模拟要领研究 ，认真人
[6] 中石油长庆油田分公司 ，盆地西缘非通例储层压裂提产要害因素研究与优化设计 ，认真人
[7] 中石化石油勘探开发研究院 ，页岩裂痕基质系统导流能力评价要领 ，认真人
[8] 沙特法赫德国王石油与矿业大学 ，非均质蕴藏油气生产的不确定性剖析与历史拟合 ，认真人
[9] 沙特法赫德国王石油与矿业大学 ，应力条件下分形多孔介质中的流体流动和传输 ，认真人
[10] 沙特法赫德国王石油与矿业大学 ，非均质地层油气生产的历史拟合 ，认真人
主要声誉获奖：
[1] 国家级青年人才
[2] SPE Journal Outstanding Technical Reviewer Award
[3] 凯时(北京)优异青年学者
[4] 绿色矿山科学手艺一等奖
[5] 石油工程岩石力学十佳科技希望奖
[6] 中国油气人工智能优异案例
[7] 天下大学生数学建模竞赛一等奖
[8] 天下大学生物理竞赛一等奖
主要学术兼职：
[1] SPE Annual Technical Conference & Exhibition (SPE年会）等国际聚会分会场主席
[2] Petroleum Science、Advances in Geo-Energy Research、石油钻探手艺等期刊青年编委
[3] Petroleum Science、Frontiers in Earth Science、Water 等期刊专刊主编
[4] SPE Journal、Water Resources Research 等20余个著名期刊审稿人
石工
设计版权所有：凯时(北京)