from deep-sea to the beach: a holistic approach to oil and ...godae-data/oceanview/events/... · -...

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From deep-sea to the beach: a holistic approach to oil and HNS spill risk management Rodrigo Fernandes (1) , Paulo Leitão (2), Frank Braunschweig (3), Filipe Lourenço (3), David Brito (3), Ramiro Neves (1) 1 MARETEC Instituto Superior Técnico 2 Hidromod 3 Action Modulers

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Page 1: From deep-sea to the beach: a holistic approach to oil and ...godae-data/OceanView/Events/... · - 3D Lagrangian particle method - Independent particle phase changes and transport

From deep-sea to the beach: a holistic approach to oil and HNS spill risk management

Rodrigo Fernandes (1), Paulo Leitão (2), Frank Braunschweig (3), Filipe Lourenço (3), David Brito (3), Ramiro Neves (1)

1 MARETEC – Instituto Superior Técnico

2 Hidromod

3 Action Modulers

Page 2: From deep-sea to the beach: a holistic approach to oil and ...godae-data/OceanView/Events/... · - 3D Lagrangian particle method - Independent particle phase changes and transport

Summary 1. Context; emerging challenges at different scales in the context of spill prevention

and response

2. Proposed modelling solution using MOHID

3. Supporting risk managers and decision-makers with an holistic approach; decision support tools using MOHID spill model

4. Final Remarks

Page 3: From deep-sea to the beach: a holistic approach to oil and ...godae-data/OceanView/Events/... · - 3D Lagrangian particle method - Independent particle phase changes and transport

1. Context; Emerging challenges at different scales in the context of spill prevention and response

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Deepwater offshore drilling

Olympus oil rig (Shell, Gulf of Mexico)

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The supertanker era

TI Europe vessel

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> 2000 Chemicals transported by the sea

‘FU SHAN HAI’ sinking with a cargo of potash in the Western Baltic Sea, 2003

MSC Flaminia, Atlantic Ocean, 2012

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Examples of consequences from oil spills

Deepwater Horizon Spill, Gulf of Mexico, 2010)

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2. Proposed modelling solution using MOHID

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The modelling solution should be integrated -Using several different modelling tools adapted to each kind of scale, system or spill pollution type potentially reduces response effectiveness

- An integrated approach is more adapted to the needs and technological possibilities nowadays.

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MOHID open-source community model

Both research and engineering purposes

Windows, linux

Laptop, desktop, clusters…

OpenMP, MPI

Applied by scientific and engineering community all over the world

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From Global…

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…to smallest

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Oil and HNS spill modelling approach MOHID Water modelling system

Turbulence

Atmosphere

Waves

Lagrangian

InterfaceWaterAir

HNS, OIL, JET, Water Quality

WQ

CEQUALW2

LIFE

MM5, WRF, ARPS, GFS, RAMS, ALADIN

GOTM BENTHOS

CEQUALW2

MOHID Water

SWAN, STWAVE, …

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Multi-mesh solution: One simulation; multiple metocean data sources

A cloud of particles being advected across three horizontally aligned

grids. (source: Janeiro et al., 2014) Schematic application in stationary

currents field

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MOHID Oil Spill model Source code development

EU Projects (ECOOP, EROCIPS, ARCOPOL, ARCOPOL+, ARCOPOLplatform, EASY, EASYCO, DRIFTER, ISDAMP)

Cooperation with national and local portuguese maritime authorities (exercises, beta testing, and model calibration)

Operational support to real accidents (e.g. Prestige)

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MOHID deep-water oil spills

Blowout simulations in Caribbean Coast (Colombia): Particle depths with different oil droplet diameters. 3D (above) and XY (below) views

source: Leitão et al., 2013

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Diameter

(blue = low diameter)

Oil Spill Modelling in MOHID - 3D processes -

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Oil spill + Boom modelling

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MOHID HNS spill modelling approach - 3D Lagrangian particle method

- Independent particle phase changes and transport

- Based on mass balances from different processes (ModuleHNS)

- One chemical per simulation (no chemical mixtures)

- Chemical reactions (with water, oxygen, acids/bases, etc.) not addressed in the model

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Phases considered - Air

- Evaporated (surface)

- Volatilized (water column)

- Floating at surface

- Entrained / suspended droplets

- Adsorbed to suspended matter (sedimented)

- Dissolved

- Sunk

- Mass lost -> environmental degradation

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Processes considered - Phase changes

- Vertical Entrainment (at surface) *

- Volatilization

- From surface (evaporation)

- From water column

- Dissolution (of entrained / suspended chemical)

- Adsorption to Sediments

- Resuspension (of sunk chemical)

- Movement

- Currents*

- Spreading

- Turbulence*

- Stokes Drift *

- Buoyancy *

- Sinking (adsorbed to SPM)

- Degradation

- From air

- From water column

- From sediments

* Same as used in MOHID oil spill model

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3. Supporting risk managers and decision-makers with an holistic approach; Decision support tools using MOHID spill model

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Development strategy “All in one and one for all”

• Same platform for risk assessment tool, real-time and historic vessel traffic, spill modelling capability, metocean model results, detected satellite images (EMSA’s CSN), NOAA’s online oil products database

• Export risk assessment to multiple platforms: Shapefile, OGC’s WMS, website

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Strategy: All in one and one for all

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Strategy: All in one and one for all

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Vessels + metocean modelling data

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Dynamic Risk Tool “What is the environmental impact of a potential accident occurring with that ship, at that location under those weather conditions?”

Dynamic Risk Approach

Static vs. Dynamic Risk

Static = working with scenarios (good for planning stages)

Dynamic = using best available forecasts or measured metocean data

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Dynamic Risk Tool

Dynamic Risk Tool

- a) Spill Risk Levels;

- b) Shoreline Pollution Risk Levels *

Ship Information: Position, velocity, vessel type, cargo type, dead weight

(AIS)

Coastal Sensitivity

Indexes

MetOcean Model Data: waves, currents, weather,

visibility Statistic information from ship accidents

* Taking in account Background Spill Simulations (based on ship positioning and meteocean model data)

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Dynamic Risk Tool

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Task 5.2.1 Dynamic Risk Tool

Coastal Impact: ship distance from coast

Coastal Impact: based in virtual oil spills from ships (with MOHID)

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Dynamic Risk Tool

Vessel Details

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Search Isolated Risks | Filter by site

Dynamic Risk Tool

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Dynamic Risk Tool Search Isolated Risks | Filter by site

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Dynamic Risk Tool Search Isolated Risks | Filter by site

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Dynamic Risk Tool Search Isolated Risks | Filter by site

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MOHID-CLEANSENET service can provide added-value for remote sensing products

E.g.: automatic oil spill forecasting service based on EMSA CLEANSEANET

Near real time service (30min.) Cooperation agreement EMSA - MARETEC

Automatic distribution of oil spill forecasts (backward and forward in time) through end users

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MOHID Lagrangian Wizard (Mohid Studio) • Imports multiple metocean modelling solutions

• Fully integrated with risk tool

• Chemical spill modelling

• Both water and airborne dispersion modelling

• 3D spill modelling (including blowouts) & profile visualization

• On-demand high resolution outputs

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard

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MOHID Lagrangian Wizard - oil arrival time -

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MOHID Lagrangian Wizard - vertical profile -

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MOHID Lagrangian Wizard - vertical profile -

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MOHID Lagrangian Wizard - vertical profile -

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Original

3X more resolution

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Original

3X more resolution

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Original

3X more resolution

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Oil spill + Boom modelling

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WMS Server / Demo website http://arcopol.actionmodulers.dtdns.net/

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WMS Server / Demo website http://arcopol.actionmodulers.dtdns.net/

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WMS Server / Demo website http://arcopol.actionmodulers.dtdns.net/

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WMS Server / Demo website http://arcopol.actionmodulers.dtdns.net/

Website with responsive layout: Works perfectly with smartphones

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Final Remarks & Future Work An holistic approach for simulating oil spills is essential to a more effective and robust decision-making

Continuous model validation and software testing process is essential to ensure preparedness

Future challenges: - Improve deep sea modelling processes of oil &

gas; - integration of multiple model-based decision

support tools in an oil spill response COP (common operating picture)

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Obrigado!

[email protected]