OMB Individually Reported
Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311]
Low riskExact public inventory row
Description
The system predicts the location of seafloor massive sulfide deposits for use as critical mineral indicators. Produces associated mapping products for public use.
Detailed example
Maps of various mineral locations and compositions on the seafloor.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
More efficient searching for seafloor critical minerals - predictions can be used to inform resource expeditions rather than using traditional guesswork planning.
Controls / human review
ATO: No; PIA: Not published