Artificial Intelligence-driven Assessment Of Salt Caverns For Underground Hydrogen Storage In Poland

This article discusses a new artificial intelligence framework that combines machine learning and spatial data analysis to identify optimal locations for underground hydrogen storage in rock salt formations. The methodology utilizes eight different machine learning algorithms and offers enhanced accuracy in determining hydrogen storage potential.