Inspection/maintenance
From AI-enabled walking rigs to subsea drones and autonomous inspection robots, robotics is rapidly moving from pilot projects to field deployment. The technology promises not only greater efficiency but also a fundamental shift in how the industry approaches safety and asset management.
This paper introduces in-pipe inspection technologies enabling high-resolution digital measurements of tubular internal diameter and wall thickness for critical downhole applications.
The deployment of a new heavy-duty robotic system aims to reduce workforce exposure to high-risk areas while improving detection of potential leaks.
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Peter Bernard, CEO of Datagration, discusses how oil and gas industry predictive maintenance doesn’t just provide an economic value, it also boosts safety by anticipating unpredicted failures among aging infrastructure. -
Oil and gas maintenance managers rank reliability of equipment and an overload of new processes and procedures to follow as top concerns in a new survey.
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The authors describe a joint industry project focused on collaboration and knowledge-sharing to improve the competitiveness of Australia’s oil and gas industry by addressing critical challenges associated with subsea-equipment failure.
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The market for maintenance, modification, and operations in the renewable and low-carbon energy sector is expected to approach $250 billion by 2030, closing in on that for the oil and gas industry, according to research by Rystad Energy.
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SponsoredWell-monitoring technology gives oil companies the data and insights to boost production and derive maximum value from oil and gas wells.
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Researchers from the Offshore Robotics for Certification of Assets Hub teamed with EDF Renewables to use a modified remotely operated vehicle to conduct what they say is the first autonomous underwater inspection of wind farm foundations.
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SponsoredGain deeper insights on your system and its performance. Use integrated modeling to explore the effects of changing conditions and equipment to avoid unplanned downtime.
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Tested within a full ballast water tank on a North Sea FPSO, the ROV collected visual inspection data, validating system performance including wireless navigation and wireless communication.
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The authors present an artificial-intelligence and machine-learning technology to obtain a high-level, comprehensive view of all equipment in a facility to detect and map corrosion.
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This paper describes a method to determine rig state from camera footage using machine-learning-based vision-analytics approaches.
