In the development of water flooding reservoirs, enhancing oil recovery often requires implementing measures tailored to the reservoir's specific characteristics. A critical step in this process is evaluating the remaining oil potential, which directly influences the effectiveness of recovery strategies. However, evaluating the remaining oil potential in large reservoirs is challenging due to reservoir heterogeneity and complex well patterns. Existing evaluation methods are often cumbersome and lack intuitiveness. To address these issues, this study proposes a novel method for evaluating remaining oil potential by utilizing reservoir dynamic connectivity and remaining oil abundance. This method draws upon the advantages of the Eikonal equation in accurately describing the pressure wavefront and its propagation speed. By replacing traditional analytical methods with bivariate mapping, this approach effectively visualizes and correlates dynamic and static attributes. On this basis, the reservoir is classified into four regions: uneconomic/awaiting measures, low-efficiency waterflooding, major potential, and primary production. The potential of each region is intuitively analyzed and evaluated, offering clear insights into development status, untapped potential, and optimal strategies for reservoirs within each region. The application of this method to the M oilfield in the Bohai Sea yielded promising results across three distinct scenarios aimed at enhancing recovery: horizontal well water control, injection–production system optimization, and infill horizontal well deployment. These successful outcomes highlight the applicability of this method to complex, large-scale reservoirs and highlight its potential as a valuable tool for guiding recovery strategies in other challenging reservoir environments