Metocean Advances
Monday, 5 May
Room 600
Technical Session
The session presents the latest developments in forecasting techniques using machine learning, with application to the Gulf of Mexico Loop Current and eddies. In addition, it includes studies to characterize the Loop Current system in numerical models and solitary internal waves. The session demonstrates applications of metocean data and methods to oil spill detection, design of offshore renewable facilities and calibration of safety factors.
Session Chairperson(s)
Sponsoring Society:
- American Society of Civil Engineers (ASCE)
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1400-1418 35839Calibration of Weather Dependent Mooring Line Tension Safety Factors
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1420-1438 35614Response-Based Forecasting of Vessel Motion: From Physics-Based to Data-Driven Methods
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1440-1458 35733A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico: Application to Loop Current and Loop Current Eddy Forecasting
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1500-1518 35859Estimating Numerical Model Skill and Representativeness of Kinematic Properties of the Loop Current System in the Gulf of Mexico
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1520-1538 35812Solitary Internal Wave Characterization Southeast of Trinidad and Tobago
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1540-1558 35760Optimizing Offshore Operations: Automated Oil Spill Detection Via Secure Data Sharing
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1600-1618 35819Floating Offshore Wind Solutions For The U.S.: Leveraging European Experience From Floater and Mooring EPCI Perspective
