Machine learning optimizes underground gas storage safety and efficiency

Researchers have developed a machine learning approach to optimize how salt caverns store natural gas, improving both operational safety and cost efficiency. The findings could help energy companies maximize storage capacity while minimizing structural risks—critical as energy systems increasingly rely on flexible storage solutions.

Originaltitel: Stability analysis and operational parameter optimisation of salt cavern gas storage based on orthogonal experimental design and machine learning