Machine learning to monitor stored CO2 saves cost and time, researchers report

Incorporating field data for the first time, researchers at Penn State demonstrated machine learning can be a powerful and cost-effective tool for monitoring sequestered carbon dioxide (CO2), overcoming a hurdle for the burgeoning technology aimed at combating climate change.