The fractured reservoirs in metamorphic rock buried hills have the characteristics of deep reservoir burial, strong heterogeneity, small natural fracture scale, and sparse distribution. They lack effective reservoir identification and prediction methods, resulting in high risks and difficulty in ensuring success rates in well location implementation, which restricts the promotion of exploration and evaluation. In response to the above difficulties, an evaluation study will be conducted on the Archean buried hill of the DMT oilfield, which has superior oil and gas supply conditions and great potential for reservoir expansion. Based on the identification of buried mountain fractures through logging, a comprehensive analysis of well and seismic fractures is carried out, and a comprehensive prediction technology for buried mountain post stack fractures is proposed. Based on post stack seismic data, the maximum positive curvature attribute and seismic waveform characteristics are comprehensively applied to achieve reservoir fracture prediction. The research results indicate that combining the maximum positive curvature attribute with seismic waveform characteristics can greatly improve the accuracy of crack identification, with a prediction accuracy of over 80%. This study provides technical support for the efficient development of fractured reservoirs in metamorphic rock buried hills.