Machine Learning Algorithms News

Duane Fotheringham, President, Unmanned Systems, HII

One-on-One with Duane Fotheringham, President, Unmanned Systems, HII

input. It also must be reliable enough to operate for long periods of time without failure.”Advances in autonomy, artificial intelligence and machine learning will continue to push the boundaries of what is possible, according to Fotheringham. “By leveraging advanced GPUs to run machine learning algorithms, performing data fusion from sensors and maintaining greater situational awareness, vehicles will have the ability to adapt in real-time to their environment. Fielding these systems also requires new approaches to verification and validation to ensure their safety and reliability. Not

(Image: FutureOn)

Subsea Digital Alliance Launched

workflows using Orcaflex integrated with FieldTwin.WINS - Operations. Delivering wireless systems for operators to retrofit live downhole data to enable a true digitalization of the field for optimized production and recovery.Digital Energy - All phases – A comprehensive suite of AI and machine learning algorithms that can be integrated with any data set to support predictive analytics and process improvements.FutureOn will also present the Subsea Digital Alliance in partnership with Mcdermott and Digital Energy on the Microsoft Azure booth at ADIPEC

Kraken’s KATFISH high speed Synthetic Aperture Sonar towfish will be used to acquire ultra-high definition seabed images and bathymetry during the OceanVision project. (Photo: Kraken Robotics Inc.)

Kraken Launches OceanVision Project

will result in an end-to-end digitalization solution offering advanced sensors, robots and data analytics as a turnkey service for imaging and mapping of the seafloor as well as seabed assets and infrastructure. Today, high fidelity data is an absolute requirement for coherent input to machine learning algorithms – otherwise it’s garbage in, garbage out. We are uniquely positioned in the underwater industry as Kraken will build, own and operate the sensor-laden drones; Kraken (and partners) will run the missions; and Kraken (and partners) will analyze the data for our customers.&rdquo

Mooring Integrity Monitoring System

Offshore O&G Mooring Integrity: BMT Answers the Challenge

, it is possible to estimate the behavior of a system (floating production facility) given a set of impulses (environmental loads from combined action of wind, wave and current) provided the RLS has sufficient measured marine data for learning.   There are numerous applications for machine learning algorithms. In fact, BMT is using them in the field to improve predictions of tension beneath the buoyancy can on a free-standing hybrid riser tower. In the context of mooring monitoring, work conducted on a turret moored FPSO, where a mooring line monitoring system was installed by BMT, showed that

GE Introduces Subsea Leak Detection and Multi-Domain Condition Monitoring

specially designed for monitoring the operating condition of subsea machinery and processes—from pumps and valves to supporting infrastructure. Typically combined with ALD to detect subsea leakage, the system performs multi-domain analysis supported by proven pattern recognition and machine learning algorithms to identify and display subsea structure, machine and pipeline activities and anomalies. At OTC 2013, GE will showcase its live Naxys Acoustic Booth alongside its ALD System model. Witness the “ears” of tomorrow’s subsea facility, which can hear and detect external

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