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A machine learning approach for underwater gas leakage detection
[article]
2019
arXiv
pre-print
Underwater gas reservoirs are used in many situations. In particular, Carbon Capture and Storage (CCS) facilities that are currently being developed intend to store greenhouse gases inside geological formations in the deep sea. In these formations, however, the gas might percolate, leaking back to the water and eventually to the atmosphere. The early detection of such leaks is therefore tantamount to any underwater CCS project. In this work, we propose to use Passive Acoustic Monitoring (PAM)
arXiv:1904.05661v1
fatcat:ddnvlxvmf5g7dnn2mcw4x6k2hu