Inspection/maintenance
The USV Challenger will be remotely controlled from shore and will be equipped with multiple autonomous features.
SLB is introducing a new electric well-control system to replace larger conventional, fluid‑controlled hydraulic equipment.
This paper describes the operator’s digital-twin end-to-end production system deployed for model-based surveillance and optimization.
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The service company says its engageSubsea Remote platform provides real-time equipment-status information. -
The Abu Dhabi National Oil Company announced that it has completed the first phase of its large-scale multiyear predictive maintenance project, which aims to maximize asset efficiency and integrity across its upstream and downstream operations.
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Phase 1 covers the modeling and monitoring of assets for six ADNOC Group companies. The four phases of the project are expected to be completed by 2022.
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The data have been collected and analyzed from more than 18,000 equipment units with failure and maintenance records and includes information on subsea fields with more than 2,000 years of operating experience.
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Akers BP said it will use lessons learned from the pilot and scale the remote-assist concept across its assets.
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To provide condition monitoring and combat fouling, the robot clings and moves along the hull walls. It is controlled via a 4G connection to clean and inspect the walls in line with individual vessel schedules developed through a proprietary algorithm and big data.
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The maritime technology company successfully completed a remote deadweight audit for a semisubmersible oil and gas drilling rig. Believed to be the first of its kind, the remote survey was developed in response to travel and social-distancing restrictions imposed during the COVID-19 pandemic.
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Using 3D and artificial intelligence technologies, a digital map of all three bridge-linked jackets was captured, enabling Neptune to detect asset-integrity issues early and plan fabric maintenance work on Cygnus.
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The fully remote inspection was conducted with an ROV to increase worker safety and security and reduce environmental exposure on an offshore platform.
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Often it is too difficult to create the fault conditions necessary for training a predictive maintenance algorithm on the actual machine. A digital twin generates simulated failure data, which can then be used to design a fault-detection algorithm.
