含轻质组分稠油油藏蒸汽注采过程自适应网格法

Adaptive Mesh Refinement Method for Thermal Recovery of Heavy Oil with Light Component using Steam Injection

对含轻质组分稠油油藏蒸汽注采过程数值模拟的自适应网格方法进行研究。网格的细化和粗化是自适应网格方法的基本步骤,为克服组分摩尔分数在网格细化过程中出现小于0或大于1的非物理振荡,提出了一个有效的守恒修正分片线性插值算法;指出可挥发的轻质组分分子量较大时,除了温度和各相饱和度外,组分摩尔分数需作为网格细化的判据。算例显示自适应网格方法有着很好的计算精度和计算速度。

The works on the development of the adaptive mesh refinement （AMR） method in numerical simulations of thermal recovery of heavy oil with light component using steam injection were introduced. The refining operation and coarsening operation were the basic procedures of the AMR algorithm. To a- void the problem that the refining operation causes the component mole fractions to appear the unphysical oscillations, which were negative or bigger than 1, a conservative piece-wise linear interpolation algo- rithm was proposed. When the molecular weight of light component was relative big, not only tempera- ture and phase saturations but also the component mole fractions should be chosen as the control parame- ters of the refinement criteria. The numerical example results show that, compared with the fine-grid so- lution, the proposed AMR technique is fast and can give good accuracy.