Abstract: In the past few decades of exploration and development in the Tarim Basin, the development of Ordovician carbonate fracture-cavity reservoirs in the northern region of the Tarim has moved from the early large-scale fracture-cavity reservoirs to small-scale reservoirs. Fracture-cavity reservoir contour description, internal structure prediction. and small-scale cave detection have become the key points for reserve and production growth. Based on high frequency-division pre-stack time migration data volume, we used the perigram, root mean square amplitude attribute, and 3D visualization to finely characterize the spatial distribution of different scale fractures and caves. This technology has been widely applied in the Tahe Oilfield with a work area of 80km². Compared with the identification results of fracture-cavity based on conventional pre-stack time migration data volume, this technology can improve the accuracy of fracture-cavity reservoir contour description and also distinguish the internal structure of fracture-cavity combinations. More importantly, it can considerably improve the precision with which small-scale fracture-cavity reservoirs are identified. The research results reported here have broad applicability and importance regarding future hydrocarbon development and production, as well deployment in the northern region of the Tarim Basin.