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Environmental Impact Analysis and Metocean Modeling Systems

2022 Technical Program


Environmental Impact Analysis and Metocean Modeling Systems

Thursday, 5 May
Technical / Poster Session
The metocean data gathered from 23 ocean sites around the United States includes measurements of wave, current, tide, surge variations, and other meteorological data. The analysis of this data is critical for assessing vessel maneuverability, designing offshore structure loads, and defining the overall underwater inspection strategy. This session discusses the different metocean marine modeling techniques and systems, including a walk-through new numerical tool used for investigating the offshore extreme operating environment patterns such as post hurricane events, building a next generation marine modeling system, and applications for evaluating performance of interest for offshore renewables wind energy design.
Oleg Esenkov - ExxonMobil Upstream Integrated Solutions Co
Peter Wallace - SeaOne Holdings LLC
Sponsoring Societies:
  • American Society of Civil Engineers (ASCE)
  • Institute of Electrical and Electronics Engineers, Oceanic and Engineering Society (IEEE-OES)
  • 1400-1422 31871
    Anticipated Verification: A Simple Method For Representing Confidence And Trust In Metocean Forecast Information To Effectively Enhance Operational Decision-Making
    E. Steele, K. Mylne, R. Neal, J. Standen, Met Office; G. Geertsema, F. Krikken, H. de Vries, KNMI; J. Amies, H. Brown, Met Office; J. Upton, Societe des Petroles Shell
  • 1422-1444 31794
    Building A Next Generation Marine Modeling System
    R. Fulton, S. Hulst, DTN
  • 1444-1506 31858
    Correlation Pattern Exploration Of Wave Energy Density Hotspot Distribution And Hurricane-induced Wave In Gulf Of Mexico
    C. Gu, H. Li, Texas A&M University Kingsville
  • 1506-1528 32014
    Application For Evaluating Performance In Offshore Renewables Environmental Conditions
    J. Gullaksen, JG Consultant & Ocean Engineering Services
  • 1528-1550 31790
    Practical Guide To Prepare And Execute Post-hurricane Inspections
    R. Sheppard, D. Gallagher, Y. Moslehy, R. Spong, Spire Engineering Services
  • 1612-1634 31867
    Multivariate Data Quality Relationships Of Geothermal Facilities For Increased Efficiency In Digital Operations
    G. Sanchez, Pandata Tech; J. Reitmeier, Pandata Tech, Inc.



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