OCTOPUS (Ocean Circulation and Transport for Oil Propagation from Underwater Spills)
Lead Research Organisation:
NATIONAL OCEANOGRAPHY CENTRE
Department Name: Science and Technology
Abstract
Although oil blowouts from the deep water drilling happen very rarely, their impact can be devastating, causing catastrophic damage to the wildlife and environment in both coastal and deep sea systems. When oil is released into the ocean, it undergoes chemical, physical and biological transformations affected by various seawater properties. However, it is ocean currents (and, for surface spills, wind) that determines the movement of oil towards either landfall or biologically sensitive areas in deep or shallow water.
Consequently, as part of preparations for accidental spills, it is of critical importance that oil companies engaged in deep drilling assess the structure and variability of the ocean currents in the vicinity of their drilling locations, as well as provide scenarios of possible oil drift over a spill lifetime period of several months. By way of example, BP has a number of extant deep drilling locations in the Faeroe-Scotland channel. In their environmental statement for one of the wells (North Uist), BP uses ocean circulation data provided by the Norwegian Meteorological Institute to predict oil beaching. This reports that oil will most likely drift towards the northern coast of Norway, and that it will only beach there or on the Shetland Islands.
At the National Oceanography Centre, Southampton, we have developed an advanced ocean circulation model that allows the detailed description of ocean currents at all depths anywhere in the World Ocean. Using this model we have performed oil release experiments similar to those of the BP environmental statement. However, our preliminary results show that, although the major threat is indeed for the northern Norwegian mainland, there is also a significant probability of the spill reaching environmentally sensitive areas of the Svalbard, Iceland and Denmark. Furthermore, oil remaining at depth will drift west into the northern North Atlantic potentially threatening the abundant deep sea life there.
These results illustrate the risk of relying on a single model when forecasting the far-reaching and potentially catastrophic consequences of oil spills. Using limited complexity models may result in the development of spill response strategies that overlook what ultimately may become serious impacts. Our project aims to engage with stakeholders such as BP and DECC to demonstrate advances in ocean modelling achieved by the National Oceanography Centre, and to collaboratively design model experiments to better forecast the impacts of potential blowouts in the Faeroe-Shetland area. These experiments will track the transport of oil both on the surface and in the deep water and determine how variability in the northern North Atlantic may affect the extent and severity of oil spill impacts.
One of the advantages of our approach is the use of a global ocean model, such that similar studies can be easily repeated for other deep water drilling locations anywhere in the world. As part of this work, we will produce visualisations of the drifting oil and the ocean currents affecting it within an interactive display that demonstrates the worldwide reach of this system.
Consequently, as part of preparations for accidental spills, it is of critical importance that oil companies engaged in deep drilling assess the structure and variability of the ocean currents in the vicinity of their drilling locations, as well as provide scenarios of possible oil drift over a spill lifetime period of several months. By way of example, BP has a number of extant deep drilling locations in the Faeroe-Scotland channel. In their environmental statement for one of the wells (North Uist), BP uses ocean circulation data provided by the Norwegian Meteorological Institute to predict oil beaching. This reports that oil will most likely drift towards the northern coast of Norway, and that it will only beach there or on the Shetland Islands.
At the National Oceanography Centre, Southampton, we have developed an advanced ocean circulation model that allows the detailed description of ocean currents at all depths anywhere in the World Ocean. Using this model we have performed oil release experiments similar to those of the BP environmental statement. However, our preliminary results show that, although the major threat is indeed for the northern Norwegian mainland, there is also a significant probability of the spill reaching environmentally sensitive areas of the Svalbard, Iceland and Denmark. Furthermore, oil remaining at depth will drift west into the northern North Atlantic potentially threatening the abundant deep sea life there.
These results illustrate the risk of relying on a single model when forecasting the far-reaching and potentially catastrophic consequences of oil spills. Using limited complexity models may result in the development of spill response strategies that overlook what ultimately may become serious impacts. Our project aims to engage with stakeholders such as BP and DECC to demonstrate advances in ocean modelling achieved by the National Oceanography Centre, and to collaboratively design model experiments to better forecast the impacts of potential blowouts in the Faeroe-Shetland area. These experiments will track the transport of oil both on the surface and in the deep water and determine how variability in the northern North Atlantic may affect the extent and severity of oil spill impacts.
One of the advantages of our approach is the use of a global ocean model, such that similar studies can be easily repeated for other deep water drilling locations anywhere in the world. As part of this work, we will produce visualisations of the drifting oil and the ocean currents affecting it within an interactive display that demonstrates the worldwide reach of this system.
Publications
Kelly S
(2018)
Lagrangian Modeling of Arctic Ocean Circulation Pathways: Impact of Advection on Spread of Pollutants
in Journal of Geophysical Research: Oceans
Main CE
(2017)
Simulating pathways of subsurface oil in the Faroe-Shetland Channel using an ocean general circulation model.
in Marine pollution bulletin
Description | The project OCTOPUS engaged with oil industry stakeholders to solicit their views and assess their needs from modelling for assessing risk from potential oil spills. A successful workshop with stakeholders including oil companies demonstrated their growing need for advanced high resolution global-scale circulation modelling that can specifically address ongoing developments in deep drilling. Since work in this domain has a global nature and requires both advanced research expertise as well as significant supercomputing resources, it is outside of the reach of most environmental consultancies and instead requires major resources such as those provided by National Capability at NOC. |
Exploitation Route | The main industry requirements we can assist with: i) an understanding of ocean dynamics in selected areas over the World Ocean at the highest possible resolution and ready access to model output; ii) a fast assessment of the predictive skill of the model; iii) visualisation of the ocean circulation in selected regions; iv) a fast lagrangian assessment of ocean transport. Building on these links with the oil sector we are developing case studies that demonstrates advances in ocean circulation modelling and illustrates their applications to environmental risk assessment. The case studies will be showcased at the Ocean Business, a biannual international ocean technology exhibition. |
Sectors | Energy Environment |
Description | In collaboration with the oil stakeholders (BP, Shell, DHI Water Environments UK Ltd, Oil Spill Response Ltd.) we selected case study areas of high interest and/or activity for the petroleum industry. These areas include: 1) shelves of Brazil; 2) Baffin Bay; 3) Great Australian Bight; 4) NW shelves of Australia; 5) Shelves of Angola-Nigeria; 6) South China Sea; 7) Falklands . Some of these areas overlap with the main areas of climate change impact on marine resources which are a focal interest of our climate research. Developed methodology was subsequently used for the operational response to Sanchi oil spill. |
First Year Of Impact | 2016 |
Sector | Aerospace, Defence and Marine,Communities and Social Services/Policy,Energy,Environment |
Impact Types | Societal Economic |
Description | Emergency responce to teh sanchi oil spill http://noc.ac.uk/news/sanchi-oil-spill-contamination-could-reach-japan-within-month-update |
Geographic Reach | Asia |
Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
Impact | The emergency response model applied to sanchi oil spill caused media coverage around the world and the results were used by the oil spill response planning. The URL given below gives a link to the one of the media examples: https://uk.reuters.com/article/us-china-shipping-spill/how-sanchis-spill-could-spread-idUKKBN1FF1AK |
URL | https://uk.reuters.com/article/us-china-shipping-spill/how-sanchis-spill-could-spread-idUKKBN1FF1AK |
Title | Probabilistic analysis of oil spill impact |
Description | The methodology we developed in this study complements the oil spill modelling preparedness studies usually performed by environmental consultancies by addressing the uncertainty in oil spill spread and footprint resulting from the variability of the ocean circulation. If adopted more widely, such an approach would lead to reduced risk and a better response through improved situational awareness. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2015 |
Provided To Others? | Yes |
Impact | If adopted more widely, such an approach would lead to reduced risk and a better response through improved situational awareness. We are working together with Oil Spill Response LTD in applying this methodology to real life scenarios. |
Title | NEMO global model online access |
Description | i) an understanding of ocean dynamics in selected areas over the World Ocean at the highest possible resolution and ready access to model output; ii) a fast assessment of the predictive skill of the model; iii) visualisation of the ocean circulation in selected regions; iv) a fast lagrangian assessment of ocean transport. |
Type Of Material | Computer model/algorithm |
Year Produced | 2013 |
Provided To Others? | Yes |
Impact | In collaboration with the oil stakeholders (BP, Shell, DHI Water Environments UK Ltd, Oil Spill Response Ltd.) we selected case study areas of high interest and/or activity for the petroleum industry. These areas include: 1) shelves of Brazil; 2) Baffin Bay; 3) Great Australian Bight; 4) NW shelves of Australia; 5) Shelves of Angola-Nigeria; 6) South China Sea; 7) Falklands. Some of these areas overlap with the main areas of climate change impact on marine resources which are a focal interest of our climate research. |
Description | Modelling of teh Sanchi oil spill. Media coverage |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | An emergency ocean model simulations run by scientists at the National Oceanography Centre (NOC) and the University of Southampton assessed the potential impact of local ocean circulation on the spread of pollutants. These simulations were run using the leading-edge, high-resolution global ocean circulation model, NEMO. The Sanchi tanker collision occurred on the border between the Yellow and East China seas, an area with complex, strong and highly variable surface currents. These latest predictions have been made possible by new information about where the Sanchi oil tanker finally sank. Based on this update, the team of scientists from the National Oceanography Centre (NOC) have run new ocean model simulations to assess the potential impact of local ocean circulation on the spread of pollutants. These simulations were run on the leading-edge, high-resolution global ocean circulation model, NEMO. |
Year(s) Of Engagement Activity | 2018 |
URL | http://noc.ac.uk/news/sanchi-oil-spill-contamination-could-reach-japan-within-month-update |
Description | Workshop with oil industry represebtatives |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | The project OCTOPUS engaged with oil industry stakeholders to solicit their views and assess their needs from modelling for assessing risk from potential oil spills. A successful workshop with stakeholders including oil companies demonstrated their growing need for advanced high resolution global-scale circulation modelling that can specifically address ongoing developments in deep drilling. Since work in this domain has a global nature and requires both advanced research expertise as well as significant supercomputing resources, it is outside of the reach of most environmental consultancies and instead requires major resources such as those provided by National Capability at NOC. The workshop was attended by ~50 representatives from the industry. Strong links was established with Oil Spill Response LTD and BP. As a result of the workshop, the main industry requirements were identified as follows: i) an understanding of ocean dynamics in selected areas over the World Ocean at the highest possible resolution and ready access to model output; ii) a fast assessment of the predictive skill of the model; iii) visualisation of the ocean circulation in selected regions; iv) a fast lagrangian assessment of ocean transport. Building on these links with the oil sector we are developing case studies that demonstrates advances in ocean circulation modelling and illustrates their applications to environmental risk assessment. The case studies will be showcased at the Ocean Business, a biannual international ocean technology exhibition. |
Year(s) Of Engagement Activity | 2013 |