抄録
In the high water cut stage of oilfield development, reservoirs are characterized by enhanced heterogeneity, complex fluid migration processes, and diversified recovery measures, which pose significant challenges to traditional numerical simulation methods. This paper reviews the latest research progress in refined reservoir numerical simulation. It systematically summarizes five key technological domains: multi-scale geological modeling and reservoir characterization, dynamic geological modeling and intelligent history matching, modeling techniques for heterogeneous and fractured reservoirs, methods for residual oil identification and intelligent prediction, and fully coupled multi-physics simulation strategies. Based on an in-depth analysis of current technological approaches, the study highlights the growing integration of multi-source data fusion and artificial intelligence algorithms, which drives numerical models toward higher resolution, greater fidelity, and dynamic adaptability—especially in simulating complex displacement mechanisms and identifying residual oil with precision. Looking ahead, with the continuous advancement of high-performance computing platforms and intelligent analysis tools, refined numerical simulation is expected to play an increasingly critical role in enhancing recovery efficiency during the high water cut stage, optimizing dynamic adjustment strategies, and promoting the development of intelligent oilfields.
