Offshore staff
PERTH, Australia – Artificial intelligence (AI) technology has been developed for a new real-time offshore inspection solution, capable of autonomous detection and categorization of equipment anomalies.
The Augmented Machine Vision Solution (AMVS) was co-developed over 12 months by Wood and National Energy Resources Australia (NERA) for inspection of critical industrial equipment, in particularly for subsea oil and gas infrastructure.
Azad Hessamodini, president of Growth & Development at Wood, said: “The AMVS will deliver a safer and faster inspection approach which can provide operators with more accurate and up-to-date information to help maximize the output of their assets.
“It’s a game-changer for inspections that we know are susceptible to human error and inconsistencies.”
Instead of sending technicians offshore to view numerous hours of footage recorded by inspection devices, the AMVS’ AI engine allows it to perform this task, searching for potential faults and flaws that may warrant further inspections or repairs undertaken.
Wood claims the solution could generate annual savings of AUD$2.8 billion ($2.03 billion) per year for the offshore energy industry.
Previously the company worked with NERA on the Transforming Australia Subsea Equipment Reliability (TASER) project, targeting improved subsea equipment design and reduced requirements for interventions in Australia’s offshore warm water environment.
In this program, ‘living laboratories’ were created to assess the protection offered by novel coatings, materials and technologies against calcareous deposition and marine organism growth on subsea equipment.
09/20/2021
