We developed a new AI framework called Geo-SAN to create 3D geological models. Traditional modeling approaches struggle with complex geological structures and limited data. Our method analyzes relationships based on stratigraphy-aware attention networks between sampling points while incorporating knowledge about how stratigraphical sequence is ordered in nature. This helps the framework understand both the types of lithology and their interface and attitude positions.