NETL Advanced Offshore Research Portfolio

Infrastructure and Metocean Technology2020-11-23T14:47:23+00:00

Project Description

Project Title: Infrastructure and Metocean Technology
Prime Performer: National Energy Technology Laboratory
Project Duration: 2019-2022

Overview

Strong metocean conditions, such as subsea currents, and natural shifts in the ocean seafloor can have a significant impact on the integrity and longevity of offshore infrastructure. Changes in the ocean environment, such as submarine landslides, can be spurred by strong weather events (e.g., hurricanes) as well as the natural fluctuations in the system over time. These changes can impact safety and cost during oil and gas exploration and production activities, and events to date have been linked to billions of dollars in damage and environmental impacts. As a result, the ever-shifting offshore environment introduces a currently unquantified level of risk and vulnerabilities to a range of offshore energy activities.

This project will leverage historic metocean and bathymetric conditions to develop a new smart technology that will help identify current hazardous metocean and bathymetric conditions as well as forecast changes and potential vulnerabilities that may affect existing or future offshore infrastructure and activities. The result will be a Smart Tool that advances the current state of knowledge of ocean conditions, offering insights to improve infrastructure longevity and support the identification of shallow hazards, thus decreasing cost and improving safety during oil and gas exploration, production, and transportation.

Approach

To successfully develop, train, test, and validate a smart tool requires a significant volume, and often velocity, of data to support the analytics. However, the multi-variate, multi-dimensional and often restricted nature of metocean and bathymetric data has limited the ability of researchers to support these robust analytics until more recently due to the development and broad application of new sensors and sonars.

This project will facilitate the development, training, testing, and validation of a smart technology that uses historic observations of metocean and bathymetric data to identify current hazardous metocean and bathymetric conditions as well as forecast changes and potential vulnerabilities that may impact existing or future offshore infrastructure.

Year 1 will focus on proving the concept — that sufficient, detailed historic data are available to support the development of an analytical framework that uses advanced analytics (such as machine learning, artificial intelligence, and big data capabilities) to forecast and predict metocean and bathymetric hazards and vulnerabilities. If the concept is viable, work in Year 2 will focus on developing the framework and corresponding interactive, online tool to predict potential metocean and bathymetric hazards and vulnerabilities. Year 3 will focus on validating and refining the analytical logic and interactive, online tool based off input from internal and external stakeholders.

Expected Outcome

This project will result in a smart, interactive, online tool to predict potential metocean and bathymetric hazards and vulnerabilities in relation to improving infrastructure longevity, shallow hazard reduction, and offshore EOR innovations. The tool will operate as a plug-in application within EDX’s Geocube, enabling the ability to perform near-real time assessments of current hazards and the support of forecasting areas with higher vulnerabilities. In addition to the tool, key analytical results will also be made available as interactive map layers. Together, this tool and information will aid in the reduction of potential risks to daily oil and gas activities and other offshore energy development (i.e., carbon storage, offshore wind/wave energy, etc.) in the future.

Research Products

Numerical Integrators for Lagrangian Oceanography

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Nordam, T. & R. Duran (2020). Numerical integrators for Lagrangian oceanography. Geoscientific Model Development, 13, 5935–5957. https://doi.org/10.5194/gmd-13-5935-2020.

Vertical Transport in Oil Spill Modeling

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , , |

Nordam T., J. Skancke, R. Duran and C. Barker (under review, 2020). Vertical transport in oil spill modeling. Book chapter in Marine Hydrocarbon Spill Assessments, Elsevier.
https://u.pcloud.link/publink/show?code=XZ3bDokZQdK53lLOjH4e5tTPLINht8RfcHM7

Horizontal Transport in Oil-Spill Modeling

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , , |

Duran, R., T. Nordam, M. Serra and C. Barker (under review, 2020). Horizontal transport in oil-spill modeling. Book chapter in Marine Hydrocarbon Spill Assessments, Elsevier. https://arxiv.org/abs/2009.12954

Persistent meanders and eddies lead to quasi-steady Lagrangian transport patterns in a weak western boundary current

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , |

Gouveia, M. B., R. Duran, J. A. Lorenzzetti, A. T. Assireu, R. Toste, L. P. de F. Assad and D. F. M. Gherardi (accepted for review, revision in progress, 2020). Persistent meanders and eddies lead to quasi-steady Lagrangian transport patterns in a weak western boundary current.
https://arxiv.org/abs/2008.07620

Evaluating Offshore Infrastructure Integrity

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , |

Nelson, J., Dyer, A., Duran, R., Romeo, L., Sabbatino, M., Wenzlick, M., Wingo, P., Zaengle, D., and J. Bauer, “Evaluating Offshore Infrastructure Integrity,” in preparation, NETL-PUB XXX, NETL Technical Report Series, U.S. Department of Energy, National Energy Technology Laboratory, Albany, OR.

Environmental Economics and Uncertainty Review and a Machine Learning Outlook

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , |

Zhang, R., Wingo, P., Duran, R., Rose, K., Bauer, J., and Ghanem, R., “Environmental Economics and Uncertainty Review and a Machine Learning Outlook,” Oxford Encyclopedia of Environmental Economics (April 23, 2020). Available at SSRN: https://ssrn.com/abstract=3583911.

Connectivity of Deep Waters in the Gulf of Mexico

Categories: 2020 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Maslo, A., et al., “Connectivity of Deep Waters in the Gulf of Mexico,” Journal of Marine Systems (2020), https://doi.org/10.1016/j.jmarsys.2019.103267.

Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas

Categories: 2020 Presentations, Infrastructure and Metocean Technology, Presentations|Tags: , |

Dyer, A., Rose, K., Bauer, J., Romeo, L., Barkhurst, A., Wingo, P., Sabbatino, M., Nelson, J., and Wenzlick, M., “Building an Analytical Framework to Measure Offshore Infrastructure Integrity, Identify Risk, and Strategize Future Use for Oil and Gas,” AGU Ocean Sciences, February 2020, https://www.agu.org/Ocean-Sciences-Meeting.

Data-Driven Risk Assessment of Drilling in the Gulf of Mexico

Categories: 2019 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Zhang, R., Wingo, P., Duran, R., Rose, K., Bauer, J., and Ghanem, R., “Data-Driven Risk Assessment of Drilling in the Gulf of Mexico,” accepted for publication in the Oxford Encyclopedia of Environmental Economics.

Connectivity of the Deep Waters in the Gulf of Mexico

Categories: 2019 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Maslo et al., “Connectivity of the Deep Waters in the Gulf of Mexico,” Journal of Marine Systems (2019)
https://doi.org/10.1016/j.jmarsys.2019.103267

Physical Oceanography and Meteorology of the Gulf of Mexico: Aspects Relevant to the Offshore Industry

Categories: 2019 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Duran, R., “Physical Oceanography and Meteorology of the Gulf of Mexico: Aspects Relevant to the Offshore Industry,” in preparation, NETL-TRS-X-2019, EPAct Technical Report Series, U.S. Department of Energy, National Energy Technology Laboratory, Albany, OR, 2019, p. XX.

CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures

Categories: 2019 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Duran, R., Beron-Vera, F.J., and Olascoaga, M.J., “CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures,” (2019), https://doi.org/10.18141/1558781, DOI: 10.18141/1558781.

Persistent Lagrangian Transport Patterns in the Northwestern Gulf of Mexico

Categories: 2019 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Gough, M.K., Beron-Vera, F.J., Olascoaga, M.J., Sheinbaum, J., Jouanno, J., and Duran, R., “Persistent Lagrangian Transport Patterns in the Northwestern Gulf of Mexico,” Journal of Physical Oceanography, 49 (2019), 353–367, https://doi.org/10.1175/JPO-D-17-0207.1.

Simulation of the 2003 Foss Barge – Point Wells Oil Spill: A Comparison between BLOSOM and GNOME oil-spill models

Categories: 2018 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , , |

Duran, R., L. Romeo, J. Whiting, J. Vielma, K. Rose, A. Bunn, J. Bauer (2018). Simulation of the 2003 Foss Barge – Point Wells Oil Spill: A Comparison between BLOSOM and GNOME oil-spill models. J. Mar. Sci. Eng., 6(3), 104; https://doi.org/10.3390/jmse6030104

Extracting Quasi-Steady Lagrangian Transport Patterns from the Ocean Circulation an Application to the Gulf of Mexico

Categories: 2018 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Duran, R., Beron-Vera, F.J., and Olascoaga, M.J., “Extracting Quasi-Steady Lagrangian Transport Patterns from the Ocean Circulation an Application to the Gulf of Mexico,” Scientific Reports, 8, 10 (2018), DOI: 10.1038/s41598-018-23121-y, https://doi.org/10.1038/s41598-018-23121-y.

Analysis Of How Environmental Conditions Affect Dispersant Performance During Deep Ocean Application

Categories: 2017 Publications, Infrastructure and Metocean Technology, Publications|Tags: , |

G.T. Bonheyo, K. Rose, A. Bunn, A. Avila, T. Bays, V. Cullinan, R. Duran, R. Jeters, L-J. Kuo, J. Park, J. Vielma, E.Winder, P.Wingo (2017). Analysis Of How Environmental Conditions Affect Dispersant Performance During Deep Ocean Application. PNNL-26935. Bureau of Safety and Environmental Enforcement, Washington, DC. p 173. https://www.bsee.gov/research-record/osrr-1066-analysis-how-environmental-conditions-affect-dispersant-performance-during

BLOwout and Spill Occurrence Model (BLOSOM)

Categories: 2017 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , , |

Sim, L., Vielma, J., Duran, R., Romeo, R., Wingo, P., and Rose, K. (2017). BLOwout and Spill Occurrence Model (BLOSOM).
https://edx.netl.doe.gov/dataset/blosom-release DOI: 10.18141/1420083

Sub-Grid Parameterizations for Oceanic Oil-Spill Simulations

Categories: 2016 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Duran, R. (2016). Sub-Grid Parameterizations for Oceanic Oil-Spill Simulations. NETL-TRS-9-2016; EPAct Technical Report Series. U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR; p 36. https://edx.netl.doe.gov/dataset/sub-grid-parameterizations-for-oceanic-oil-spill-simulations

Developing a Comprehensive Deepwater Blowout and Spill Model

Categories: 2015 Publications, Infrastructure and Metocean Technology, Publications|Tags: , , |

Sim, L., J. Graham, K. Rose, R. Duran, J. Nelson, J. Umhoefer and J. Vielma (2015). Developing a Comprehensive Deepwater Blowout and Spill Model. NETL-TRS-9-2015; EPAct Technical Report Series. U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR; p 44. https://edx.netl.doe.gov/dataset/developing-a-comprehensive-deepwater-blowout-and-spill-model

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Contacts

Jennifer Bauer
Co-Principal Investigator

Rodrigo Duran
Research Applied Mathematician/Oceanographer
Co-Principal Investigator

MacKenzie Mark-Moser
Research Geologist
Co-Principal Investigator

Kelly Rose
Offshore Portfolio Lead

Roy Long
Offshore Portfolio Technical Manager
Effective Resource Development

Grant Bromhal
Senior Fellow
Geological & Environmental Systems

Philip Reppert
Associate Director
Geological & Environmental Systems

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