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.
-
With their gee-whiz—albeit artificial—intelligence, robots may be the industry’s answer to jobs deemed dangerous, dirty, distant, or dull.
-
The inspection projects to assess water ingress will be done via remotely operated vehicle.
-
iHawk, Cyberhawk’s cloud-based asset visualization software, will become Shell’s next-generation visualization software platform for all onshore, offshore, and subsea assets, as well as all global construction projects.
-
The contract continues the two companies’ 8-year working relationship; in 2012, they performed the world’s-first underdeck inspection.
-
A recent test proved the feasibility of using LiDAR on remote-controlled drones to create 3D maps of the inside of tanks, increasing the safety and efficiency of inspections.
-
Three-dimensional seismic technology helped unlock more subsurface secrets for oil and gas operators. Now, 3D technology can be used in scanning, a cutting-edge technology that engineers can use to plan upgrades to oil and gas assets virtually.
-
The testing, inspection, and certification company is reporting a 900% rise in demand for the remote inspection of offshore assets and equipment since the outbreak of the COVID-19 pandemic.
-
The AI-driven tool will detect anomalies in subsea oil and gas infrastructure.
-
This paper presents a fatigue-prediction methodology designed to extend the life of unbonded flexible risers and improve the accuracy of floating production, storage, and offloading vessel response analysis.
-
Gecko Robotics is providing the energy industry with artificial-intelligence-enabled robots to inspect infrastructure and supply massive amounts of data to help predict failures before they occur.