Professor Jun Yao

announcer：赵小明 Release time：2019-10-28 Views：691

»Name: Jun Yao
»Academic title: Professor
»Department: Department of Reservoir Engineering
»Subjects: Oil Field Development Engineering Subject,Oil and Gas Engineering Field
»Email: yaojunhdpu@126.com
»Phone: +86 53286981829, Fax: +86 53286981833
»Homepage: http://www.oilcentre.cn
»Research Interests Academic Titles: Member of Sixth and Seventh State Council Degree Committee of Oil &Gas Field Engineering Disciplines Member of Expert Evaluation Group in Division of Material Science and Engineering of National Natural Science Fund Committee National Steering Committee member on Higher Education Self-Study Examination President of Chinese Society for Fluid Flow in Porous Media Academic Counselor of International Centre for Carbonate Reservoir (ICCR) Director of Enhanced Oil Recovery Research Center in Shandong Province Director of Enhanced Oil Recovery Research Center in China Petroleum & Chemical Corporation Deputy Chief Editor of Chinese Academy of Sciences Journal ��Advances in Porous Flow�� Associate Editor of ��China Offshore Oil and Gas��, ��Oil & Gas Recovery Technology��, ��Small Hydrocarbon Reservoirs�� and Reviewer of International Petroleum Journals. Leader of discipline of Oil &Gas Field Development Engineering in China University of Petroleum, Deputy director of Academic Committee at China University of Petroleum (East China) Director of Innovation and Intelligence Development Program for World Class Disciplines of Universities (111Program) in Oil and Gas Development Discipline of National Ministry of Education Fellow of State-level New Century of Talents Project of China Fellow of Taishan Scholars of Shandong Province »Courses Offered Advanced fluid flow in prous media, Reservoir engineering »Research Projects Main Research Projects in Recent years: 1 Major Project of Chinese National Natural Science Foundation of China (NSFC) (51490654): The mass transport mechanisms and field development theory of shale gas and shale oil reservoirs; study period: 2015-2019. 2 Key Project of Chinese National Natural Science Foundation (NSFC) (51230149): Fundamental Research on Development of Shale Gas Reservoir; study period: 2013-2017. 3 Key Project of Chinese National High Technology Research and Development Program (863 Program): Key technologies of intelligent completion in deep water oil and gas reservoirs; study period: 2013-2017. 4 Key Project of Chinese National Programs for Fundamental Research and Development (973 program) (2011CB201004): The study of Production mechanism and Numerical Simulation in fractured-vuggy carbonate reservoir; study period: 2011-2015. 5 Key Project of Chinese National Programs for Fundamental Research and Development (973 program) (2006CB202404): Flow mechanism study of fractured-vuggy carbonate reservoir; study period: 2006.11-2011.11. 6 National Natural Science Funds (90610015): Pore network modeling method based on digital core; study period: 2007.1-2009.12. 7 National Natural Science Funds (11072268): Pore-Scale Modeling of Near Miscible Oil-Gas-Water Three-Phase Flow in Porous Media; study period: 2011-2013. 8 National oil and gas major projects: Study on offshore large well spacing multilayer commingled heavy oil reservoir development, adjustment program and optimal design method; study period: 2011-2015. 9 Key Project of Chinese Ministry of Education National Natural Science Funds (311009): Digital Core Construction Theory and Method in Carbonate Reservoir; study period: 2011-2013. 10The Twelfth Five-year Plan of National Oil and Gas Major Project (2011ZX05024-002-008): Study on offshore large well spacing multilayer commingled heavy oil reservoir development, adjustment program and optimal design method; study period: 2011-2015. 11 Project of Bohai Oilfield Company of China National Offshore Oil Corporation: Water flooding law, strategy of enhancing oil recovery technology and relative experiment research in Lvda 10-1 and Jinzhou-10 oilfield; study period: 2014-2015. »Paper and Publications Books: [1] Yao Jun, Wu Minglu. Streamline numerical well test interpretation theory and method. China University of Petroleum Press (in Chinese) and Elsevier Press (in English), 2008. [2] Yao Jun, Wang Zisheng. Theory and Method for Well Test Interpretation in Fractured vuggy Carbonate Reservoirs. China University of Petroleum Press, 2007. [3] Yao Jun, Zhao Xiucai. Digital Core and Pore scale flow simulation Theory. Petroleum Industry Press, 2010. [4] Yao Jun, Liu Junrong. Foreign Intelligence Well Technologies. Petroleum Industry Press, 2011. [5] Yu Shaoyong, Yao Jun. Unconventional gas reservoir engineering. Petroleum Industry Press, 2013. [6] Yao Jun, Huang Zhaoqin. Numerical simulation in Fractured-vuggy Carbonate Reservoirs. China University of Petroleum Press, 2014. [7] Zhang Yanyu, Yao Jun. Modern well test interpretation method. China University of Petroleum Press, 2006. [8] Yao Jun, Gu Jianwei. Theory and methods of reservoir engineering. China University of Petroleum Press, 2015. Parts of Invited Conference Reports: [1] Jun Yao, Zhaoqin Huang, Fluid flow simulation of fracture-vuggy reservoirs and application, Dec. 2012, International Conference of Carbonate Reservoir (ICCR), Rio de Janeiro, Brazil, Invited report. [2] Jun Yao, Key mechanical problems in the development of shale gas reservoirs, Sep. 2013, ��Science and Technology Frontier Forum�� held by Chinese Academy of Sciences Faculty Bureau, Beijing, Invited report. [3] Jun Yao, Multi-scale Flow Simulation in Shale Gas Reservoirs, Mar. 2014, Annual Conference of Numerical Porous Center at KAUST, Jeddah, Kingdom of Saudi Arabia, Invited report. [4] Jun Yao, Scientific problem of shale gas development engineering in the factory pattern, Dec. 2014, the 517st Xiangshan Conference, Beijing Xiangshan Hotel, Invited report. [5] Jun Yao, Pore-scale simulation with lattice Boltzmann method in digital core and pore-network model, May 2015, the 7th International Conference on Porous Media and Annual Meeting, Padova, Italy, Invited report. [6] Jun Yao, Multi-scale Flow Simulation in Shale Gas Reservoirs, May 2015, the 7th International Conference of Fluid Mechanics, Qingdao, China, Invited report. Parts of Published Papers: (1) Selected Papers on Pore-Scale Simulation [1] Kou Jianlong, Yao Jun, Lu Hangjun, et al. Electromanipulating Water Flow in Nanochannels[J]. Angewandte Chemie-International Edition, 2015, 54(8): 2351-2355. [2] Kou Jianlong, Lu Hangjun, Wu Fengmin, Yao Jun et al. Electricity resonance-induced fast transport of water through nanochannels[J]. Nano Letters, 2014, 14(9): 4931-4936. [3] Sun Hai, Yao Jun, Fan Dong-Yan, et al. Gas transport mode criteria in ultra-tight porous media[J]. International Journal of Heat and Mass Transfer, 2015, 83: 192-199. [4] Zhang Wenjuan, Yao Jun, Sun Hai. Electrokinetic coupling in single phase flow in periodically changed capillary with a very small throat size[J]. International Journal of Heat and Mass Transfer, 2015, 84: 722-728. [5] Yao Jun, Wang Chenchen, Yang Yongfei, et al. Upscaling of carbonate rocks from micropore scale to core scale[J]. International Journal for Multi-scale Computational Engineering, 2013, 11(5): 497-504. [6] Zhao Xiucai, Blunt Martin J., Yao Jun. Pore-scale modeling: Effects of wettability on waterflood oil recovery[J]. Journal of Petroleum Science and Engineering, 2010, 71(3-4): 169-178. [7] Zhang Wenjuan, Yao Jun, Gao Ying, et al. Analysis of electrokinetic coupling of fluid flow in porous media using a 3-D pore network[J]. Journal of Petroleum Science and Engineering, 2015, 134: 150-157. [8] Zhang Lei, Kang QinJun, Yao Jun, et al. Pore scale simulation of liquid and gas two-phase flow based on digital core technology[J]. Science China Technological Sciences, 2015, 58(8): 1375-1384. [9] Sui Hongguang, Zhang Fengyun, Hou Fei, et al. Theoretical Investigation of the Methanol Decomposition by Fe+and Fe(C2H4)+: A -Type Ligand Effect[J]. Journal of Physical Chemistry A, 2015, 119(40): 10204-10211. [10] Yao Jun, Hu Rongrong, Wang Chenchen, et al. Multi-scale pore structure analysis in carbonate rocks[J]. International Journal for Multi-scale Computational Engineering, 2015, 13(1): 1-9. [11] Zhao Xiucai, Yao Jun, Yi Yanjing. A new stochastic method of reconstructing porous media[J]. Transport in Porous Media, 2007, 69(1): 1-11. [12] Yao Jun, Wang Chenchen, Yang Yongfei, et al. The construction of carbonate digital rock with hybrid superposition method[J]. Journal of Petroleum Science and Engineering, 2013, 110: 263-267. [13] Chen Li, Zhang Lei, Kang Qinjun, et al. Nanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity[J]. Scientific Reports, 2015, 5. [14] Yang Yongfei, Wang Chenchen, Yao Jun, et al. A new voxel upscaling method based on digital rock[J]. International Journal for Multi-scale Computational Engineering, 2015, 13(4): 339-346. [15] Sun Zhi-Xue, Sun Zhi-Lei, Yao Jun, et al. Porosity preservation due to authigenic chlorite coatings in deeply buried upper triassic Xujiahe Formation sandstones, Sichuan Basin, Western China[J]. Journal of Petroleum Geology, 2014, 37(3): 251-267. (2) Selected Papers on Macroscale Simulation of Unconventional and Carbonate Reservoir [1] Zhang Na, Yao Jun, Huang Zhaoqin, et al. Accurate multi-scale finite element method for numerical simulation of two-phase flow in fractured media using discrete-fracture model[J]. Journal of Computational Physics, 2013, 242: 420-438. [2] Zhang Na, Huang Zhaoqin, Yao Jun. Locally conservative Galerkin and finite volume methods for two-phase flow in porous media[J]. Journal of Computational Physics, 2013, 254: 39-51. [3] Sun Hai, Yao Jun, Gao Sun-hua, et al. Numerical study of CO2 enhanced natural gas recovery and sequestration in shale gas reservoirs[J]. International Journal of Greenhouse Gas Control, 2013, 19: 406-419. [4] Huang Zhao-Qin, Winterfeld Philip H., Xiong Yi, et al. Parallel simulation of fully-coupled thermal-hydro-mechanical processes in CO2 leakage through fluid-driven fracture zones[J]. International Journal of Greenhouse Gas Control, 2015, 34: 39-51. [5] Yao Jun, Tao Ke, Huang Zhaoqin. Flow of Particulate-Fluid Suspension in a Channel with Porous Walls[J]. Transport in Porous Media, 2013, 98(1): 147-172. [6] Yao Jun, Huang Zhaoqin, Li Yajun, et al. Discrete fracture-vug network model for modeling fluid flow in fractured vuggy porous media[A]. Proceedings of the International Oil and Gas Conference and Exhibition in China 2010: Opportunities and Challenges in a Volatile Environment, IOGCEC, June 8, 2010 - June 10, 2010[C]. Society of Petroleum Engineers, Beijing, China, 2010: 320-333. [7] Yan Xia, Huang Zhao-Qin, Xin Yan-Ping, et al. Theoretical analysis of high flow conductivity of a fracture induced in HiWay fracturing[J]. Wuli Xuebao/Acta Physica Sinica, 2015, 64(13). [8] Huang Zhaoqin, Yao Jun, Li Yajun, et al. Numerical Calculation of Equivalent Permeability Tensor for Fractured Vuggy Porous Media Based on Homogenization Theory[J]. Communications in Computational Physics, 2011, 9(1): 180. [9] Huang Zhaoqin, Yan Xia, Yao Jun. A Two-Phase Flow Simulation of Discrete-Fractured Media using Mimetic Finite Difference Method[J]. Communications in Computational Physics, 2014, 16(3): 799-816. [10] Huang Zhao-Qin, Yao Jun, Wang Yue-Ying. An Efficient Numerical Model for Immiscible Two-Phase Flow in Fractured Karst Reservoirs[J]. Communications in Computational Physics, 2013, 13(2): 540-558. [11] Zhang Min, Yao Jun, Sun Hai, et al. Triple-continuum modeling of shale gas reservoirs considering the effect of kerogen[J]. Journal of Natural Gas Science and Engineering, 2015, 24: 252-263. [12] Sun Zhixue, Xu Yang, Yao Jun, et al. Numerical simulation of produced water reinjection technology for water-soluble gas recovery[J]. Journal of Natural Gas Science and Engineering, 2014, 21: 700-711. [13] Yao Jun, Sun Hai, Fan Dong-yan, et al. Numerical simulation of gas transport mechanisms in tight shale gas reservoirs[J]. Petroleum Science, 2013, 10(4): 528-537. [14] Tao Ke, Yao Jun, Huang Zhaoqin. Analysis of the laminar flow in a transition layer with variable permeability between a free-fluid and a porous medium[J]. Acta Mechanica, 2013, 224(9): 1943-1955. [15] Huang ZhaoQin, Yao Jun, Li YaJun, et al. Permeability analysis of fractured vuggy porous media based on homogenization theory[J]. Science China Technological Sciences, 2010, 53(3): 839-847. (3) Selected Papers On Well Testing [1] Liu Wenchao, Yao Jun, Wang Yueying. Exact analytical solutions of moving boundary problems of one-dimensional flow in semi-infinite long porous media with threshold pressure gradient[J]. International Journal of Heat and Mass Transfer, 2012, 55(21-22): 6017-6022. [2] Fan Dongyan, Jun Yao, Hai Sun, et al. A composite model of hydraulic fractured horizontal well with stimulated reservoir volume in tight oil & gas reservoir[J]. Journal of Natural Gas Science and Engineering, 2015, 24: 115-123. [3] Liu Wenchao, Yao Jun. Numerical investigations of the effect of nonlinear quadratic pressure gradient term on a moving boundary problem of radial flow in low-permeable reservoirs with threshold pressure gradient[J]. Mathematical Problems in Engineering, 2015, 2015. [4] Yao Jun, Liu Wenchao, Chen Zhangxin. Numerical solution of a moving boundary problem of one-dimensional flow in semi-infinite long porous media with threshold pressure gradient[J]. Mathematical Problems in Engineering, 2013, 2013. [5] Li Longlong, Yao Jun, Li Yang, et al. Productivity calculation and distribution of staged multi-cluster fractured horizontal wells[J]. Shiyou Kantan Yu Kaifa/Petroleum Exploration and Development, 2014, 41(4): 457-461. [6] Sun Zhi-Xue, Yao Jun, Fan Dong-Yan, et al. Dynamic analysis of horizontal wells with complex fractures based on a discrete-fracture model[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2014, 38(2): 109-115. [7] Liu Wen-Chao, Yao Jun, Chen Zhang-Xin. Analytical solution of a double moving boundary problem for nonlinear flows in one-dimensional semi-infinite long porous media with low permeability[J]. Acta Mechanica Sinica/Lixue Xuebao, 2014, 30(1): 50-58. [8] Fan Dongyan, Yao Jun, Sun Hai, et al. Transient flow model of stage-fractured horizontal wells in shale gas reservoirs[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2014, 38(5): 116-123. [9] Yao Jun, Liu Pi-Yang, Wu Ming-Lu. Well test analysis of fractured horizontal well in fractured reservoir[J]. Journal of China University of Petroleum (Edition of Natural Science), 2013, 37(5): 107-113. [10] Yao Jun, Liu Pi-Yang, Wu Ming-Lu. Well test analysis of fractured horizontal well in fractured reservoir[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2013, 37(5): 107-113+119. [11] Liu Wen-Chao, Yao Jun. The fluid-solid coupling model of finite conductivity vertically fractured well in the reservoir with triple porosity medium[J]. Gongcheng Lixue/Engineering Mechanics, 2013, 30(3): 402-409. [12] Liu Wen-Chao, Yao Jun, Sun Zhi-Xue, et al. Model of nonlinear seepage flow in low-permeability porous media based on the permeability gradual recovery[J]. Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 2012, 29(6): 885-892. [13] Liu Wenchao, Yao Jun, Wang Jianzhong. Front tracking for moving boundary of non-Darcy seepage flows in low-permeability porous media[J]. Jisuan Wuli/Chinese Journal of Computational Physics, 2012, 29(6): 823-827. [14] Zhao Xiao-Yan, Yao Jun, Cui Chuan-Zhi. Productivity calculation and analysis of herringbone branch well with oil-water two-phase flow[J]. Journal of the Japan Petroleum Institute, 2011, 54(2): 90-95. [15] Yao Jun, Fan Dongyan, Wang Chenchen, et al. Dynamic pressure analysis of horizontal wells in low permeability reservoirs with the effect of quadratic gradient term[J]. Shiyou Xuebao/Acta Petrolei Sinica, 2011, 32(3): 479-483. (4) Selected Papers on Smart Oilfield Theory [1] Zhang Kai, Zhang Wenjuan, Zhang Liming, et al. A study on the construction and optimization of triangular adaptive well pattern[J]. Computational Geosciences, 2014, 18(2): 139-156. [2] Zhang Kai, Zhang Li-Ming, Yao Jun, et al. Water flooding optimization with adjoint model under control constraints[J]. Journal of Hydrodynamics, 2014, 26(1): 75-85. [3] Zhao Hui, Li Yang, Yao Jun, et al. Theoretical research on reservoir closed-loop production management[J]. Science China Technological Sciences, 2011, 54(10): 2815-2824. [4] Zhao Hui, Li Gaoming, Reynolds Albert C, et al. Large-scale history matching with quadratic interpolation models[J]. Computational Geosciences, 2013, 17(1): 117-138. [5] Zhang Kai, Li Gaoming, Reynolds Albert C, et al. Optimal well placement using an adjoint gradient[J]. Journal of Petroleum Science and Engineering, 2010, 73(3): 220-226. [6] Zhang Liming, Zhang Kai, Chen Yuxue, et al. Smart well pattern optimization using gradient algorithm[J]. Journal of Energy Resources Technology, Transactions of the ASME, 2016, 138(1). [7] Zhang Kai, Wu Haiyang, Xu Yaodong, et al. Triangulated well pattern optimization constrained by geological and production factors[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2015, 39(4): 111-118. [8] Zhang Kai, Wang Zengfei, Zhang Liming, et al. A Hybrid Optimization Method for Solving Bayesian Inverse Problems under Uncertainty[J]. Plos One, 2015, 10(8). [9] Zhang Kai, Lu Ranran, Zhou Wensheng, et al. Multi-parameter gradient-free automatic history matching method[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2014, 38(5): 109-115. [10] Yao Jun, Wei Shao-Lei, Zhang Kai, et al. Constrained reservoir production optimization[J]. Journal of China University of Petroleum (Edition of Natural Science), 2012, 36(2): 125-129+135. [11] Zhao Hui, Cao Lin, Li Yang, et al. Production optimization of oil reservoirs based on an improved simultaneous perturbation stochastic approximation algorithm[J]. Shiyou Xuebao/Acta Petrolei Sinica, 2011, 32(6): 1031-1036. [12] Zhang Kai, Yao Jun, Zhang Liming, et al. Dynamic Real-Time Optimization of Reservoir Production[J]. Journal of Computers, 2011, 6(3): 610-617. [13] Yan Xia, Li Yang, Yao Jun, et al. Automatic history matching of reservoirs using the streamline-based EnKF method[J]. Shiyou Xuebao/Acta Petrolei Sinica, 2011, 32(3): 495-499. [14] Zhao Hui, Yao Jun, Lu Ai-Min, et al. Reservoir interwell dynamic connectivity inversion based on injection and production data[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2010, 34(6): 91-94+98. [15] Zhang Kai, Yao Jun, Zhang Li-Ming, et al. Injection-production strategies optimization for efficient development of water flooding[J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2010, 30(8): 1506-1513. (5) Selected Papers on Petrophysics and Reservoir Flow Physical Experiments [1] Guo Ziqiang, Chen Zhangxin, et al. A fast and effective method to evaluate the polymer flooding potential for heavy oil reservoirs in Western Canada[J]. Journal of Petroleum Science and Engineering, 2013, 112: 335-340. [2] Guo Ziqiang, Chen Zhangxin, et al. Dominant scaling groups of polymer flooding for enhanced heavy oil recovery[J]. Industrial and Engineering Chemistry Research, 2013, 52(2): 911-921. [3] Wang Shengdong, Yao Jun. A model for direct estimation of wetting phase relative permeabilities using a multistep drainage process[J]. Industrial and Engineering Chemistry Research, 2012, 51(47): 15472-15483. [4] Wang Jinxun, Yao Jun. Calculation of relative permeability in reservoir engineering using an interacting triangular tube bundle model[J]. Particuology, 2012, 10(6): 710-721. [5] Li Ai-Fen, Zhang Dong, Yao Jun, et al. Physical simulation of water flooding in fractured-vuggy unit[J]. Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2012, 36(2): 130-135. [6] Guo Ziqiang, Chen Zhangxin, et al. Dominant scaling groups of polymer flooding for enhanced heavy oil recovery[J]. Industrial & Engineering Chemistry Research, 2012, 52(2): 911-921. [7] Li Zhaowen, Li Shuliang, et al. Permeabilities of tight reservoir cores determined for gaseous and liquid CO2 and C2H6 using minimum backpressure method[J]. Journal of Natural Gas Science and Engineering, 2012, 5: 1-5. [8] Lu Zhan-Guo, Yao Jun, Wang Dian-Sheng, et al. Experimental study on fluid flow characteristic in orthogonal fracture network[J]. Meitan Xuebao/Journal of the China Coal Society, 2010, 35(4): 555-558. [9] Lu Zhan-Guo, Yao Jun, Wang Dian-Sheng. Experimental study and numerical simulation of single-phase flow in orthogonal fracture network[J]. Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2010, 39(4): 563-567. [10] Jia Peng, Dai Liming, et al. Slow viscous flow through arbitrary triangular tubes and its application in modelling porous media flows[J]. Transport in Porous Media, 2008, 74(2): 153-167. [11] Zhao Lin, Li Ai-Fen, Wu Xiong-Jun, et al. Oil-water interfacial tension effects on relative permeability curves in low-permeability reservoirs[J]. Journal of Petroleum Science Research, 2013. [12] Lin ZHAO, Aifen LI, Haojun XIE, et al. Impact of Ultra-Low Interfacial Tension on Enhanced Oil Recovery of Ultra-Low Permeability Reservoir[J]. Advances in Petroleum Exploration and Development, 2012, 4(1): 49-54. [13] Zhao Lin, Li Aifen, Chen Kai, et al. Development and evaluation of foaming agents for high salinity tolerance[J]. Journal of Petroleum Science and Engineering, 2012, 81: 18-23. [14] Dong Z, Aifen L, Qiang S, et al. Measuring Oil and Water Relative Permeability in a Single Fracture and Researching Its Impacting Factors[J]. Petroleum Science and Technology, 2013, 31(21): 2191-2201. [15] Dong Z, Aifen L, Jun Y, et al. A single-phase fluid flow pattern in a kind of fractured-vuggy media[J]. Petroleum Science and Technology, 2011, 29(10): 1030-1040.