1 / 14

SEA-IT Dynamic contingency information system for maritime transportation

SEA-IT Dynamic contingency information system for maritime transportation http://mapservices.dnv.com/sea-it. Presented by Øyvind Endresen & Gjermund Gravir DNV. SEA-IT presentation. Motivation. Sea-It overview. Results (tests). Demonstrations. SEA-IT; Motivation.

neveah
Download Presentation

SEA-IT Dynamic contingency information system for maritime transportation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SEA-IT Dynamic contingency information system for maritime transportation http://mapservices.dnv.com/sea-it Presented by Øyvind Endresen & Gjermund Gravir DNV

  2. SEA-IT presentation Motivation Sea-It overview Results (tests) Demonstrations

  3. SEA-IT; Motivation • Several accidents have results in drifting ships, resulting in grounding with serious oil pollution. • One example is the Braer drift grounding near Shetland, that resulted in 85000 tons of oil spilled. • Drifting ships may also result in collision with offshore installation. • In general, accurate ship and oil driftpredictions leads to better response. BRAER (United Kingdom, 1993) Source: http://www.itopf.com/stats.html

  4. Motivation • Significantly increased oil transport from the North West of Russia, close to the Norwegian coast. Planned annual oil transport in 2010(15) of about 1500 large oil tankers (150 Mil. tones). • By accurate predicting of how far and in what direction a ship may drift, allows better decisions to be made during an emergency and oil spill response. Moscow University • Sources: Pers. Comm. 2004, Orlogskaptein Yngve Årøy, The Norwegian Defense • B. Frantzen, and A. Bambulyak, Oil Transport from the Russian part of the Barents Region, Svanhovd Environmental Centre, July 1, 2003.

  5. Sea-IT; Overview • Objective: Demonstrate use of improved and integrated drift and risk assessment modelling tools, using high resolution metocean data and marine resource data. • Partners: Norwegian Coastal Directorate, Sintef, Met.no, Semekor, Det Norske Veritas (DNV) • Duration: 2004 and 2005 • Budget: 3.1 Million NOK (35 % funding from The Norwegian Research Council ) • Coordinated by: Det Norske Veritas (DNV) • Project leader: Øyvind Endresen (DNV) • Status: Ongoing development • Web: http://www.fargisinfo.com/Sea-IT_Web/Sea-IT/index.html& http://mapservices.dnv.com/sea-it

  6. Sea-IT; Work packages Work package 1: Collate and assess existing information on contingency information and applied models (Sintef) Work package 2: Integrate and communicate advanced meteorological and oceanographically data (Met.no) Work package3: Assessment of methodologies for ship drift, oil drift and environmental risk assessments (DNV) Work package 4: Sea-It Demonstrator, results from work package 1, 2 and 3 (KV/DNV) Devloped in ArcIMS (GIS on the web)

  7. Data • High resolution metocean data • - Environmental resources • - Modelling of oil- and ship drift • - Ports, and ports of refuge • - Contigency depots • Support vessels information • Oil characteristics database • Info data base (WP1) • Etc • Modelling tools • - Oil drift • - Ship drift • Environmental risk • Etc SEA-IT; Structure SEA-IT demonstrator (GIS on the Web)

  8. SEA-IT; Demonstration area Reasoning: • High number of vulnerable natural resources • Important fish resources • Relatively high risk, maritime operations Demonstration area

  9. SEA-IT; Integrated concept Risk calculations Ship drift modelling Oil spill modelling Source: http://www.itopf.com/ Source: http://www.itopf.com/ Source: DNV • Real time modelling • Statistical modelling • Decision support for oil spill and planning • Risk reduction

  10. SEA-IT Dynamic contingency information system for maritime transportation

  11. Single scenario (test cases by Met.no) Ship drift Oil spill modelling Risk ??

  12. Statistical drift modelling (test case by DNV) Risk Ship drift Oil spill modelling ??

  13. AIS2010 - Innovative use of AIS data Objectives • Establish methodfor estimating real-time and projected dynamic risk, and develop risk criteria • Improve safety level by integration of AIS, ship, navigation, weather, risk information etc. • Improve oil spill management, combining AIS, ship, contingency, weather information etc. • Improved fleet management, combining AIS, skip, navigation, port information etc. • Provide AIS-data to different end users (web based) http://www.skipsrevyen.no/artikler/6-04/754.html http://ais.qps.nl/InfluxPortal/Influx/Influx.aspx?Map=Southern%20North%20Sea Schedule Start: January 2004 Duration: 24 months Budget: 7.2 MillionNOK Members: 7 Sponsoring: The Norwegian Research Council Coordinated by: DNV http://www.skipsrevyen.no/artikler/6-04/754.html

  14. DNV • R&D focus: • - Improve GIS-solutions for, oil spill contingency, risk modelling and environmental management • Improvement of safety, security, environmental protection and efficiency of maritime transport (“intelligent ships”) • Tools: • Ship drift and oil spill modelling • Risk tools (environment, navigation, etc) • - Oil spill management systems • - ActLog: operational tool for handling acute oil spill situations • - ContAct: decision support system for the marine environment and oil spill contingency • R&D projects (some): • MARNIS (EU), SEA-IT & AIS2010

More Related