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Advances in Underwater Robotic Inspection

Authors: Jonathan Bancroft;

Advances in Underwater Robotic Inspection

Abstract

Advanced Non-Destructive Testing (NDT) technologies are the most effective tool in our ongoing fight to ensure the integrity of our offshore assets and subsea infrastructure against corrosion and other damage mechanisms. Over fifty years have passed since the first rigs appeared off the coast of California, in the North Sea, across the Gulf of Mexico, and around the globe. Much of the original structures and associated infrastructure remain in use today. Operating far beyond their intended lifespans, these structures, pipelines, and other subsea equipment are increasingly vulnerable to aging-related issues, with corrosion being the primary threat among various potential failure modes, including weld cracking. Since the early days, we have witnessed continuous, steady advancements. New materials have been introduced, pipeline designs now better account for the seabed terrain, and the construction, operation, and maintenance of structures and pipelines have become significantly more efficient. Despite improvements in corrosion protection, mitigation, and inspection technologies, the reality is that the longer a subsea asset has been in service, the more time corrosion or other defects have to develop. This is especially true for older assets installed before the availability of these advanced construction methods. Additionally, the marine environment is harsh and unforgiving, making the monitoring and maintenance of subsea assets integrity crucial, regardless of their age.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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