A5103149865- Petroleum Processing and Analysis
- Rheology and Fluid Dynamics Studies
- Fluid Dynamics and Turbulent Flows
- Model Reduction and Neural Networks
- Enhanced Oil Recovery Techniques
- Advanced Surface Polishing Techniques
- Fluid Dynamics and Vibration Analysis
- Hydrocarbon exploration and reservoir analysis
- Welding Techniques and Residual Stresses
- Metallurgical Processes and Thermodynamics
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Mixing
- Reservoir Engineering and Simulation Methods
- Laser Material Processing Techniques
- Polymer crystallization and properties
- Elasticity and Material Modeling
- Combustion and Detonation Processes
- Nanofluid Flow and Heat Transfer
- Surface Roughness and Optical Measurements
- Oil and Gas Production Techniques
- Advanced machining processes and optimization
- Advanced Theoretical and Applied Studies in Material Sciences and Geometry
- Injection Molding Process and Properties
- Occupational Health and Safety Research
- Probabilistic and Robust Engineering Design
Beijing Institute of Petrochemical Technology
2016-2021
East China University of Science and Technology
2020
Carnegie Mellon University
1983-1985
Abstract Heavy oil resources are abundant all over the world, but its content of resin and asphaltene is high. has high viscosity poor fluidity at room temperature, which brings great difficulties to heavy recovery pipeline transportation. At present, commonly used technologies transportation heating transportation, emulsification reduction mixed with dilute have shortcomings energy consumption stability. In this paper, structure properties a blank sample from offshore samples dealt optimal...
In this work, with elasticity governed by the Giesekus constitutive equation, a proper orthogonal decomposition (POD) reduced-order model of viscoelastic turbulent channel flow is established for first time. The based on small sets basis functions from POD sampling data obtained direct numerical simulation (DNS) studied flow. tested cases that are different samplings results show errors root-mean-square (rms) velocity fluctuations significant at top and bottom walls. It found each function...