Petroleum and Natural Gas Engineering(Offshore Oil and Gas Engineering)

Zhouyuan Zhu

Personal Profile

College of Safety and Ocean Engineering

Ph.D

Instructor&Master Mupervisorr

Offshore Oil and Gas Engineering

Research Areas

Reservoir numerical simulation principle and application, improve oil recovery

Research Projects

[1] Research on Thermal Recovery Streamline Simulation Technology, Stanford University, 2007-2011


[2] Simulation Technology of High-Precision Mine-Scale Incendiary Oil Reservoir, Stanford University, 2007-2011


[3] Emulsification of Heavy Oil Water Flooding Water in Alaska, BPAlaska, 2009


[4] Streamline-based water flooding optimization software development, ConocoPhillips, 2010 Alaska Polymer Flooding, Ternary Composite Flooding and Low Mineralization Water Flooding Numerical Simulation and Evaluation, BPAlaska, 2011-2013

[5] Numerical simulation and evaluation of heavy oil-burning oil reservoirs, steam flooding, and non-mixed-phase gas flooding in Alaska, BPAlaska, 2011-2013


[6] Historical Fitting of Numerical Simulation of Four-Dimensional Earthquake-Assisted Reservoirs in Alaska, BP Alaska, 2011-2013


[7] Numerical simulation and evaluation of high-density tunnel drilling and mining schemes in Alaska, BP America, 2011-2013


[8] Pilot test monitoring of cold mining of heavy oil sand in Alaska, BP Alaska, 2011-2013

Publications

[1] 1.Z. Zhu, Z. Lei,Z. Chen et al., Waterflood Management Using Hybrid Approach of Streamline-based


[2] Inter-well Flux Information and Finite Volume Reservoir Simulation, Advances in Civil Engineering,


accepted, SCI


[3] 2.Z. Zhu, M. Gerritsen and M. Thiele, Thermal Streamline Simulation for Hot Water Flooding, SPE


[4] Reservoir Evaluation & Engineering Journal, Jun 2010, SPE 119200-PA, SCI


[5] 3.A. Nissen, Z. Zhu, M. Gerritsen, L. Castanier, A. Kovscek, Upscaling kinetics for field-scale in-situ


[6] combustion simulation, SPE Reservoir Evaluation & Engineering Journal, SPE-174093-PA, SCI


[7] 4.Z. Zhu et al., Reservoir Recovery Estimation Using Data Analytics and Neural Network Based


[8] Analogue Study, SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, Oct 2019, SPE-