Stanford University engineers have developed an airborne method for imaging underwater objects by combining light and sound to break through the seemingly impassable barrier at the interface of air and water.
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Norwegian oil services company Applied Petroleum Technology (APT) has received research funding to develop an artificial intelligence (AI) solution that can dramatically change how oil companies utilize biostratigraphic services to plan drilling programmes and evaluate and assess hydrocarbon wells.
Kongsberg Digital has announced the launch of a new cloud-based simulation service for maritime radar training. Used as an advanced eLearning tool, it enables instructors to manage and control exercises with realistic radar simulations to students, who now can practice and prepare for their exams anytime, anywhere and at their own pace.
A cutting-edge new system for autonomous airborne hydrographic survey has been launched by THURN Group. The THURN QuickDipTM system of data collection uses aerial drones to carry Valeport sensors on pre-planned survey routes to deliver an efficient and repeatable method of gathering highly accurate survey data from inaccessible or dangerous waters.
The University of Rhode Island (URI) had a recent requirement for two oceanographic buoy systems and land-based deck unit for ongoing oceanographic research under the Rhode Island Consortium for Coastal Ecology Assessment Innovation & Modeling (RI-CAIM), a five-year grant program funded by the National Science Foundation (Award #OIA-1655221).
On 18th November, Damen Shipyards Group delivered a Fast Crew Supplier 1204 to Total Offshore B.V. The crew transfer vessel is the first in the company’s fleet. They will use the FCS 1204, named Swift, to transport offshore personnel to wind farms in the North Sea.
The NOC’s Marine Robotics Innovation Centre has announced that BAE Systems is joining its thriving technology development community as an Affiliate Partner.
Silixa has announced the launch of Carina® CarbonSecure™, its distributed acoustic sensing (DAS) based solution for continuous or on-demand monitoring of all stages of carbon capture and storage (CCS) operations.