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Offshore oil rig Inspection robots are mobile service robots with advanced vision sensors, typically used for the inspection of critical and high-value infrastructure. Inspection robots are either semi-autonomous, where they’ve been taught established paths, or fully autonomous, able to navigate themselves.
Offshore oil rig Inspection robot manipulators have greater levels of uptime than workers. They are able to work around the clock and at much faster speeds. The purpose of inspecting machinery is to ensure that all parts are functioning and safe to use.
As well as reducing the risk of damage and future downtime.They are programmed to go from part to part without breaks or delays, significantly increasing throughput and eliminating bottlenecks.
It contributes to improved operational efficiency for the oil and gas industry players. The oil and gas industry uses underwater robots with an underwater docking system. These machines are capable of reaching areas that humans presently can only imagine.
The Global Offshore oil rig inspection robot market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Offshore industry embraces robotic technology
The offshore oil and gas industry is beginning to embrace robotic technologies as a means of improving operational efficiency, increasing worker safety, and reducing costs. Autonomous robots are being used topsides to read gauges, detect leaks, scan the horizon, take video and audio recordings, and identify anomalies.
Subsea robots are being developed that can perform a range of inspection, repair and maintenance activities. As the industry increasingly turns to remote operations and fewer workers onboard, the deployment of these robots represents a paradigm shift in offshore operations.
Spot, the quadruped robotic “dog” from Boston Dynamics, has seen at least two offshore deployments. One of these was in the Norwegian Sea, where Cognitive and Aker BP recently deployed Spot on the Skarv FPSO. Cognite’s main software product, Cognite Data Fusion (CDF), served as the data infrastructure for the offshore test.
During the test, Spot collected images, scans, and sensory readings and shared the data across the Aker BP network via dashboard to make the data actionable. Tasks included autonomous inspection, data capture, and automatic report generation.
