NETL experts are harnessing advanced computing capabilities including machine learning (ML) and artificial intelligence (AI) to create ways to analyze information from diverse data streams like historic records, information reported from citizen scientists, field data collections and other obscure sources to identify undocumented orphaned wells (UOWs), leading to remediation efforts that can reduce greenhouse gas emissions.
The generally accepted definition of UOWs describes them as idle wells for which the operator is unknown or insolvent. Many of these wells leak greenhouse gases into the atmosphere, which contributes to climate change.
