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. New work from researchers at Penn State demonstrates that machine learning could greatly reduce the long-term costs of monitoring carbon sequestration site
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