Inspection/maintenance
The Saudi Arabian major is finding new ways of using drones to help improve the safety, efficiency, and environmental performance of its operations.
The partnership aims to use artificial intelligence and advanced robotics to accelerate the adoption of technologies for predictive maintenance.
The long, successful history of various metallurgies in EOR wells has been cited as sufficient to allow the same completions for CCS injection wells. The lack of actual data on the long-term performance of these alloys in EOR wells in combination with the more-stringent requirements for Class VI wells suggests otherwise.
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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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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.
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This paper presents a framework that advances 3D printing in the oil and gas industry, evaluating the challenges this technology is facing in a conservative industry and realizing its potential benefits.
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SponsoredDrowning in data? Can’t readily access key data for making critical decisions because it is in legacy systems, unstructured, or not digitized? We have solutions.
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Inspection and certification services provider will continue select asset work for Ithaca Energy through January 2025.
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SponsoredShell needed an easy-to-use, simple well monitoring solution. Could an IoT wireless solution measure up to a classic wired approach?
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The authors describe how tools in machine learning are used to develop data-driven models that can be used for accurate and efficient fatigue-damage prediction for marine risers.
