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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 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:

2

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: 
      2018-08-11T13:47:52+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: 2018-04-11 Date type: Date type code: creation 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 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 2019-06-17T01:51:52+00:00
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