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季刊,2016年6月创刊
主管:教育部
主办:中国石油大学(北京)
   清华大学出版社有限公司
出版:清华大学出版社有限公司
编辑:《石油科学通报》编辑部
主编:陈勉
地址:北京市海淀区学院路20号院
   902信箱中国石油大学期刊社
邮编:100083
电话:010-82377349
         010-89734040
E-mail:bops@vip.163.com
     本刊导读
Thermal enhanced oil recovery simulation often has high computational costs, due to the complex thermal coupling,
strong nonlinearity and small sized grid blocks used to capture the complex physical and chemical recovery processes. The  
upstream industry is in urgent need of fast and accurate thermal enhanced oil recovery reservoir simulation technology.  
Streamline-based flow simulation has been especially successful in the simulation of large geologically complex and strongly  
heterogeneous systems that are challenging for more traditional simulation techniques. The success of streamline simulation is  
based on the physical observation that in heterogeneous reservoirs the time scale at which fluids flow along streamlines is often  
much faster than the time scale at which the streamline locations change significantly. In this work, we explore the possibility  
of extending streamline simulation to the simulation of thermal enhanced oil recovery processes. Based on our previous work,  
a true three-dimensional streamline reservoir simulator for hot water flooding is constructed. The simulator takes into account  
the temperature dependent oil viscosity and thermal fluid expansion effects. In a global time step, it solves the pressure equation  
first, followed by tracing streamlines in three-dimensional reservoirs. Convective energy and mass transport are then solved along  
the one-dimensional streamlines, which could potentially significantly increase the computational efficiency of the simulation.  
Finally, the solutions are mapped back to the original grid, with the non-convective effects solved, including heat conduction.  
The streamlines can effectively describe the movement and distribution of fluids in the reservoir and fully visualize them through  
the use of streamlines. Several realistic cases including the highly heterogeneous SPE10 model and the Liaohe oil field Qi40 hot  
water flooding are tested and compared with the results from a commercial thermal reservoir simulator. Our streamline simulator  
successfully passed the challenging test of SPE10, with realistic multiple well pattern configurations. It also successfully solves  
the actual hot water flooding simulation problem for the Liaohe oil field Qi40 reservoir model. We have shown that the three-di
mensional thermal streamline simulator can not only ensure the simulation accuracy, but also reduce the computational cost  
through computational complexity analysis. And the streamline simulation also assists flow visualization and quantification of  
inter-well connectivity, which may be highly useful in flood management and optimization for reservoir production predictions.  
This work serves as the foundation for the future development of thermal streamline simulation technology. A commercial  
thermal streamline simulator for hot water flooding may be developed based on this work.


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