Presentation
Assimilation method to generate more assertive ocean models to support oil E&P activities in Brazil
SessionMeet the Poster Authors
DescriptionData assimilation became a crucial component for ocean modeling, as it helps to improve the accuracy of hindcasts and forecasts from the combination of observations with numerical models. By integrating data from various sources such as satellites, buoys, and HFR (High Frequency Radar), data assimilation can provide a completed and more accurate picture of the ocean state. The main goal of this study is to evaluate the improvements of the assimilation of HF-Radar in a regional model for Campos and Santos Basins, concerning methodology never performed in Brazil, but successfully applied in ocean regions around the world. A HFR network composed of 3 stations was installed in 2021 along Rio de Janeiro coast, with radial data reaching a significant part of Santos and Campos Basins, covering several E&P fields. Although the HFR data represents only the current surface field, its singularity, compared to other sources of data for assimilation, relies on the availability of a large horizontal extension with velocity data suitable for assimilation. The radials from HFR were assimilated in a 3 km resolution grid with the Regional Ocean Modeling System - ROMS model, with the assimilated results evaluated versus current data from the buoy in Campos basin, and two real case trajectories, such as Search and Rescue - SAR experiment and a drifting vessel. The analysis of the results of the ocean model assimilated with HFR showed the great potential of this methodology to improve the representation of the current system in the two main E&P basins.
Authors
Event Type
Poster
TimeMonday, May 13th5:00pm - 6:00pm CDT
LocationExhibit Hall G
Preparedness
Prevention
Remediation
Response
Restoration