Abstract: Due to the dynamic and multidimensional properties of mineral resource data, the information on the utilization status of mineral resources fails to accurately reflect the actual utilization status of mineral resources, leading to inaccurate predictions of mineral resources. Therefore, this study proposed a reserve prediction method based on the dynamic information on the utilization status of mineral resources. The exploration data of mineral resources, subjected to format conversion and encoding, were input into the geographic information system (GIS). They were categorized by the GIS into spatial and attribute data, thereby establishing a resource utilization status management system. A fully relational database was introduced to manage the utilization status of mineral resources. A 3D geological model was employed to calculate the ore-forming favorability and delineate the mineralization target area. Based on this, a grade-tonnage model was constructed. Finally, the statistical sampling theory was applied to predict the resource reserves in the mining area. The experimental results demonstrate that the mineral reserves predicted using the proposed method aligned with the actual reserves, indicating a relatively high prediction accuracy.