Abstract: Aiming at the difficult problems of massive geological data load,the theoretical basis is spatial clustering and spatial interpolation.The spatial objects in cache are regarded as sample data,the hit-ratio of these objects are thought as interpolation weight,and the object information in spatial index are look upon as estimated data,and the RAM and the computing capabilities of CPU are also took into account.The self-adaptive pre-load method on massive 3D spatial data in geological space are designed,and the experimental result shows that our proposed method is correct and efficiency.