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指出油藏渗流中不同尺度的渗滤现象形成机制，从渗滤理论角度揭示驱替前缘的生长规律。根据宏观与微观渗流的动力学方程，以隐式计算的压力场确定渗滤准则，分别建立了微观与宏观油藏数值模拟的渗滤模型。该模型中指进的发育、剩余油的圈闭不仅受介质非均质性的影响，而且与驱替历史（压力场变化）相关，是对Ｓｔｅｎｂｙ（１９９０）及Ｂａｒｅｆｅｔ（１９９４）的渗滤模拟模型理论上的修正与完善，更能体现渗流的动力学统一性及不规则性。此外，建立了排液道见水后与排液道相临节点的压力降计算模型，使油藏渗滤模型不仅可模拟见水前的水驱油过程，还可对见水后的动态进行预测，突破了网络模拟向油藏动态模拟应用转化的一个难题。通过实际岩心驱替实验及平面填砂模型实验的验证，所建立的多尺度油藏数值渗滤模拟模型是可靠的。微观渗滤模拟可以评价孔隙结构对采收率、指进发育、剩余油分布的影响。宏观渗滤网络模拟方法，可对渗透率、孔隙度非均质分布的油藏在不同驱替条件下的渗流进行渗滤模拟，使指进、剩余油分布的预测更为客观。宏观与微观渗滤模拟特征曲线可与物理模拟及经典数值模拟方法的结果进行对比研究，使油藏数值模拟的深度与广度都得以延伸。
The formation mechanism of percolation at different scales in seepage of reservoir is pointed out, and the growth law of displacement front is revealed from percolation theory. According to the dynamic equations of macroscopic and micro-seepage flow, the percolation criterion is established by implicitly calculated pressure field, and the numerical simulation of micro-and macro-reservoir percolation models are established respectively. The development of the model and the trapping of remaining oil are not only affected by the heterogeneity of the medium, but also related to the displacement history (the change of pressure field), which is the result of the percolation simulation model of Stenby (1990) and Barefet The correction and improvement in theory can better reflect the dynamic unity and irregularity of seepage. In addition, the model of pressure drop calculation at the nodes adjacent to the drainage channel and the drainage channel is set up so that the reservoir percolation model can not only simulate the water-flooding process in front of the water, but also the dynamic after water seepage Prediction, breaking through the network simulation to the reservoir dynamic simulation application transformation of a problem. The actual multi-scale reservoir numerical simulation model is reliable through the actual core flooding experiment and the verification of the plane filling model experiment. Micro-infiltration simulation can evaluate the effect of pore structure on oil recovery, development and residual oil distribution. The macroscopic percolation network simulation method can perform percolation simulation of percolation of reservoirs with different permeability and porosity under different flooding conditions, and make the prediction of fingering and remaining oil distribution more objective. The macroscopic and micro-percolation simulation curves can be compared with the results of physical simulation and classical numerical simulation methods to extend the depth and breadth of reservoir numerical simulation.