Deep learning has transformed image analysis across scientific domains, but its application in geosciences remains limited by scarce training data. Traditional image augmentation techniques, such as translation, rotation, and flipping, fail to capture the complexity and range of subsurface geological feature configurations. Here, we demonstrate that mathematical morphology-based image augmentation significantly improves the pe...