To support the development and utilization of deep-seated resources in the Sanshandao Gold Deposit, this study employs a multi-source data integration approach. Geological data were collected and organized to establish a comprehensive geological database. Through integrated geological-geophysical analysis, the deep extension trends of faults were inferred. 5 digital geological models were construeted, including surface, geophysical, fault, alteration zone, and orebody models. Based on transparent visualization integration of the 3D geological model, the distribution patterns and interrelationships of these elements were investigated. A model of the orebody was then developed, and the ore resources were estimated using the Distance Power Inverse Weighting method. Results indicate that the ore bodies are primarily hosted in sericitized and silicified cataclasite, controlled by the Sanshandao Fault in strike and dip directions, and mainly distributed in its footwall. Gold enrichment occurs at the transition zone where the main fault steepens to flattens, with truncation observed at the F, fault. Using the Distance Power Inverse Weighting method, the estimated gold metal content of Orebody I is 145.47t, and the reliability of the results was verified.