»Research Interests Reservoir engineering and simulation, Theory and Technology for Unconventional Resources Development »Courses Offered Foundation of Numerical Reservoir Simulation »Research Projects 1.The study on the multi-mechanism flow regularity in low-rank coal seams and its numerical simulation. National Natural Science Foundation of China(No.11302265). 2014.1-2016.12 2. Study on the medium-rank coalbed methane seepage mechanism and exploitation theory. National Natural Science Foundation of China (No. 40974056).2010.1-2012.12 3. Numerical simulation technology of coalbed methane reservoir and corresponding software development. National Science and Technology Major Project (No. 2011ZX05038-004).2011.1-2015.12 4. Well Pattern and Production Optimization of Tight Oil Reservoirs. National Basic Research Program of China (973 Program No. 2015CB250905). 2015.1-2020.12 5. Study on near-wellbore flow characteristics description technology of horizontal wells in the low permeability oil reservoir. National Science and Technology Major Project.2011.1-2015.12 6. The technology on wide spacing pattern infilling optimization and injection-production system adjustment of the marine reservoir at high water cut period. National Science and Technology Major Project. (No.2016ZX05025001-005).2016-2020. 7. Optimization of volume fracturing parameters of horizontal wells and technical-economic evaluation in tight oil reservoirs. National Science and Technology Major Project. (No. 2016ZX05071007).2016-2020. 8. Numerical reservoir simulation for the middle-high rank coalbed methane in the Xiadian mining area of South Qinshui Basin. Enterprise Authorized Project. 2014.10-2015.10 9. Numerical Simulation Study of imbibition fracturing tight oil reservoir. Enterprise Authorized Project. 2015.11-2016.8 10. Development technique policy research for the key oil reservoirs in different development stages. Enterprise Authorized Project. 2014.12-2016.9 »Paper and Publications 1. Estimation of CO2�Cbrine interfacial tension using an artificial neural network[J]. Journal of Supercritical Fluids, 2016, 107(4):31-37 2. Proximate analysis based prediction of gross calorific value of coals: A comparison of support vector machine, alternating conditional expectation and artificial neural network[J].Fuel Processing Technology, 2015(129) : 120-129. 3. The use of an artificial neural network to estimate natural gas/water interfacial tension[J]. Fuel, 2015(157) : 28-36. 4. Relative permeability of coal: a review[J]. Transport in Porous Media, 2015,106(3): 563-594. 5. The use of alternating conditional expectation to predict methane sorption capacity on coal[J]. International Journal of Coal Geology,2014 (121) : 137-147. 6. Establishment and Application of Material Balance Equations for Low-rank Coalbed Methane Reservoirs[J]. Natural Gas Geoscience,2013,24(6):1311-1315. 7. Numerical simulation of CBM horizontal wells considering variable mass flow[J]. Special Oil & Gas Reservoirs,2013,20(4):106-109.DOI:10.3969/j.issn.1006-6535.2013.04.027. 8. Optimizing well placement in a coalbed methane reservoir using the particle swarm optimization algorithm[J]. International Journal of Coal Geology, (2012) 104: 34-45. 9. Experimental study of coalbed methane seepage in fuxin basin[J]. JOURNAL OF CHONGQING UNIVERSITY(NATURAL SCIENCE EDITION), 2011,34(4):58-61. 10. NONLINEAR FLOW ANALYSIS OF METHANE IN LOW PERMEABILITY COAL SEAMS[J]. ENGINEERING MECHANICS, 2010, 27(10).
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