Effects of dispersant on oil transport within the ocean mixed layer

Transport and fate of oil in the upper ocean: Studying and modeling multi-scale physical dispersion mechanisms and remediation strategies using Large Eddy Simulation

DOI:
10.7266/N70000F7
 
UDI:
R5.x283.277:0002
Last Update:
Apr 11 2018 21:21 UTC
 
Dataset Author(s):
Charles Menevean, Marcelo Chamecki
Point of Contact:
Yang, Di
University of Houston / Department of Mechanical Engineering
N207 Engineering Building 1
Houston, Texas  77204
USA
dyang72@central.uh.edu
Funding Source:
RFP-V
 
Extent Description:
Dataset contains idealized LES and ENDLESS simulations for oil dispersion with and without dispersant effects in specific wind and wave conditions.

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

Charles Menevean, Marcelo Chamecki. 2018. Effects of dispersant on oil transport within the ocean mixed layer. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N70000F7

Abstract:

A new framework based on multiscale coupled computational domains is used to simulate deep-water blowouts, which is able to accurately track the oil from the wellhead to its transport in the ocean mixed layer. The nearfield blowout is simulated by standard large-eddy simulation (LES), while the farfield transport of oil plumes under the effects of dispersant from deep-water blowout is studied using extended non-periodic domain large-eddy simulation for scalar plumes (ENDLESS). Two cases with and without dispersant are run in a wavy ocean condition. Based on the data set, the difference of oil plumes with and without the effects can be illustrated.

Purpose:

To estimate the impact of oil dispersion on oil transport in the ocean.

Theme Keywords:

ENDLESS, near-field, far-field, oil spill, dispersant, Large Eddy Simulation, LES

File Format:

npz, txt

Filename:

data.zip (32.68 MB)

Dataset Downloads:

4

Effects of dispersant on oil transport within the ocean mixed layer



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R5.x283.277-0002-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Bicheng Chen
      Organisation name: 
          University of California Los Angeles / Department of Atmospheric and Oceanic Sciences
      Position name: 
          Postdoctoral Fellow
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  520 Portola Plaza
              City: 
                  Los Angeles
              Administrative area: 
                  California
              Postal code: 
                  90095
              Country: 
                  USA
              Electronic mail address: 
                  chabby@ucla.edu
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2021-05-04T20:04:57+00:00
  Metadata standard name: 
      ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
  Metadata standard version: 
      ISO 19115-2:2009(E)
  Dataset URI: 
      https://data.gulfresearchinitiative.org/metadata/R5.x283.277:0002
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Identification info: Data identification: Citation: Citation: Title: Effects of dispersant on oil transport within the ocean mixed layer Alternate title: Date: Date: Date: 2018-04-27 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N70000F7 title: DOI doi:10.7266/N70000F7 Abstract: A new framework based on multiscale coupled computational domains is used to simulate deep-water blowouts, which is able to accurately track the oil from the wellhead to its transport in the ocean mixed layer. The nearfield blowout is simulated by standard large-eddy simulation (LES), while the farfield transport of oil plumes under the effects of dispersant from deep-water blowout is studied using extended non-periodic domain large-eddy simulation for scalar plumes (ENDLESS). Two cases with and without dispersant are run in a wavy ocean condition. Based on the data set, the difference of oil plumes with and without the effects can be illustrated. Purpose: To estimate the impact of oil dispersion on oil transport in the ocean. Status: Progress code: completed Point of contact: Responsible party: Individual name: Di Yang Organisation name: University of Houston / Department of Mechanical Engineering Position name: Assistant Professor Contact info: Contact: Phone: Telephone: Voice: 7137437260 Facsimile: Address: Address: Delivery point: N207 Engineering Building 1 City: Houston Administrative area: Texas Postal code: 77204 Country: USA Electronic mail address: dyang72@central.uh.edu Role: Role code: pointOfContact Point of contact: Responsible party: Individual name: Bicheng Chen Organisation name: University of California Los Angeles / Department of Atmospheric and Oceanic Sciences Position name: Postdoctoral Fellow Contact info: Contact: Phone: Telephone: Voice: Facsimile: Address: Address: Delivery point: 520 Portola Plaza City: Los Angeles Administrative area: California Postal code: 90095 Country: USA Electronic mail address: chabby@ucla.edu Role: Role code: pointOfContact Descriptive keywords: Keywords: Keyword: ENDLESS Keyword: near-field Keyword: far-field Keyword: oil spill Keyword: dispersant Keyword: Large Eddy Simulation Keyword: LES Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: inapplicable Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: Charles Menevean, Marcelo Chamecki. 2018. Effects of dispersant on oil transport within the ocean mixed layer. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N70000F7 Resource constraints: title: CC0 License Legal constraints: Use constraints: Restriction code: licenceUnrestricted Other constraints: This information is released under the Creative Commons license - No Rights Reserved - CC0 1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/). The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. Resource constraints: title: Liability and Warranty Legal constraints: Other constraints: All materials on this website are made available to GRIIDC and in turn to you "as-is." Content may only be submitted by an individual who represents and warrants that s/he has sufficient rights to be able to make the content available under a CC0 waiver. There is no warranty (expressed or implied) to these materials, their title, accuracy, non-infringement of third party rights, or fitness for any particular purpose, including the performance or results you may obtain from their use. Use these materials at your own risk. Under no circumstances shall GRIIDC be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use or the inability to use either this website or the materials available via this website. If you are dissatisfied with any website feature, content, or terms of use, your sole and exclusive remedy is to discontinue use. Aggregation Info: AggregateInformation: Aggregate Data Set Name: title: Related Publication Citation Citation: Title: Chen, B., Yang, D., Meneveau, C., & Chamecki, M. (2018). Numerical study of the effects of chemical dispersant on oil transport from an idealized underwater blowout. Physical Review Fluids, 3(8). doi:10.1103/physrevfluids.3.083801 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1103/physrevfluids.3.083801 title: DOI doi:10.1103/physrevfluids.3.083801 Association Type: Association type code: crossReference Language: eng; USA Topic category: Topic category code: oceans Topic category: Topic category code: environment Extent: Extent: Description: Dataset contains idealized LES and ENDLESS simulations for oil dispersion with and without dispersant effects in specific wind and wave conditions. Supplemental Information: 2D snapshots of oil concentration fields at the ocean surface and vertical cross-section; geometry and mass distribution of oil plume; mean transport directions of vertically-integral oil plume; surface oil plume horizontal growth rates. Plume_evolution_farfield: vertically-integral oil concentration after surface-dispersant application. con: concentration fields (kg/m^2) x: unit for coordinates is (m) y: unit for coordinates is (m) plume_statistics: statistics of oil plume where surface-dispersant is applied. z_oil: depth of oil mass center (m) speed_oil: horizontal advection speed of oil mass center (m/s) angle_speed: angle of horizontal advection velocity of oil mass center (degree) size_oil: horizontal size of oil plume (m) apparent diffusivity of oil plume (m^2/s) time (s) simulation_setup: the oil and bubble concentration at the time point of surface-dispersant application. oil_surface.npz: the oil concentration at the ocean surface. con_top: concentration fields (kg/m^2) x_top: unit for coordinates is (m) y_top: unit for coordinates is (m) oil_cross_section_farfield.npz: the cross-section (y=500 m) of oil plume in farfield simulation. con_far: concentration fields (kg/m^2) x_far: unit for coordinates is (m) y_far: unit for coordinates is (m) oil_and_bubble_cross_section_nearfield.npz: the cross-section (y=500 m) of oil plume in nearfield simulation without wellhead-dispersant application. ocon_near: oil concentration fields (kg/m^2) bcon_near: bubble concentration fields (kg/m^2) x_near: unit for coordinates is (m) z_near: unit for coordinates is (m) oil_and_bubble_cross_section_nearfield_wellhead_dispersant.npz: the cross-section (y=500 m) of oil plume in nearfield simulation with wellhead-dispersant application. ocon_disp: oil concentration fields (kg/m^2) bcon_disp: bubble concentration fields (kg/m^2) x_disp: unit for coordinates is (m) z_disp: unit for coordinates is (m) velocity_profiles: the vertical profiles of Eulerian velocity and Stokes drift velocity. v_eulerian: v-component Eulerian velocity u_eulerian: u-component Eulerian velocity u_stokes: u-component Stokes drift velocity v_stokes: v-component Stokes drift velocity z: depth (m)|||||
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Distribution info: Distribution: Distributor: Distributor: Distributor contact: Responsible party: Organisation name: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) Contact info: Contact: Phone: Telephone: Voice: 3618253604 Address: Address: Delivery point: 6300 Ocean Drive City: Corpus Christi Administrative area: TX Postal code: 78412 Country: USA Electronic mail address: griidc@gomri.org Online Resource: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org Role: Role code: distributor Distributor format: Format: Name: npz, txt Version: inapplicable File decompression technique: zip Distributor transfer options: Digital transfer options: Transfer size: 32.6778 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R5.x283.277:0002 Protocol: https Name: Data Landing Page Description: GRIIDC dataset landing page Function: Online function code: information
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Metadata maintenance: Maintenance information: Maintenance and update frequency: unknown Maintenance note: This ISO metadata record was automatically generated from information provided to GRIIDC for dataset: R5.x283.277:0002 on 2021-09-23T20:12:39-05:00
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