Dataset for: Was the Deepwater Horizon well discharge churn flow? Implications on the estimation of the oil discharge and droplet size distribution

Consortium for Advanced Research on Transport of Hydrocarbon in the Environment II (CARTHE II)

DOI:
10.7266/N7Q23XS7
 
UDI:
R4.x265.000:0053
Last Update:
Feb 26 2018 16:59 UTC
 
Dataset Author(s):
Feng Gao
Point of Contact:
Gao, Feng
New Jersey Institute of Technology / Department of Mechanical & Industrial Engineering
154 Summit St University Heights
Newark, New Jersey  07102
USA
gaofeng0414@gmail.com
Funding Source:
RFP-IV
 
Extent Description:
The dataset contains simulation data, no field sampling involved.

Identified Submitted In-Review Available
3 3 3 3

Suggested Citation:

Feng Gao. 2018. Dataset for: Was the Deepwater Horizon well discharge churn flow? Implications on the estimation of the oil discharge and droplet size distribution. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7Q23XS7

Abstract:

Oil and gas flow from the Macondo255 wellhead were simulated using a large eddy simulation (LES) approach. This dataset includes the simulated oil and gas holdups (both along the radial and centerline direction), flow velocity, turbulence dissipation rate, and entrainment coefficient. The data was generated by CFD-LES approach using FLUENT software and post-processed by TECPLOT and Excel.

Purpose:

To simulate the oil and gas fluid dynamics after the Deepwater Horizon oil spill.

Theme Keywords:

CFD, turbulence energy, droplet size distribution, computational fluid dynamics, Macondo255, large eddy simulation, LES, oil holdup, gas holdup

File Format:

avi, wmv, xlsx, lpk, dat, txt

Filename:

R4.x265.000.0053.zip (215.1 MB)

Dataset Downloads:

4

Dataset for: Was the Deepwater Horizon well discharge churn flow? Implications on the estimation of the oil discharge and droplet size distribution



Identification Information
Distribution Information
Metadata Maintenance Information

Metadata: 
  File identifier: 
      R4.x265.000-0053-metadata.xml
  Language: 
      eng; USA
  Character set: 
    Character set code: 
      utf8
  Hierarchy level: 
    Scope code: 
      dataset
  Metadata author: 
    Responsible party: 
      Individual name: 
          Feng Gao
      Organisation name: 
          New Jersey Institute of Technology / Department of Mechanical & Industrial Engineering
      Position name: 
          Graduate Student
      Contact info: 
        Contact: 
          Phone: 
            Telephone: 
              Voice: 
              Facsimile: 
          Address: 
            Address: 
              Delivery point: 
                  154 Summit St
                  University Heights
              City: 
                  Newark
              Administrative area: 
                  New Jersey
              Postal code: 
                  07102
              Country: 
                  USA
              Electronic mail address: 
                  gaofeng0414@gmail.com
      Role: 
        Role code: 
          pointOfContact
  Date stamp: 
      2021-05-04T20:04:56+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/R4.x265.000:0053
Return To Index

Identification info: Data identification: Citation: Citation: Title: Dataset for: Was the Deepwater Horizon well discharge churn flow? Implications on the estimation of the oil discharge and droplet size distribution Alternate title: Date: Date: Date: 2018-02-28 Date type: Date type code: publication Identifier: Identifier: Code: Anchor: xlink: https://dx.doi.org/10.7266/N7Q23XS7 title: DOI doi:10.7266/N7Q23XS7 Abstract: Oil and gas flow from the Macondo255 wellhead were simulated using a large eddy simulation (LES) approach. This dataset includes the simulated oil and gas holdups (both along the radial and centerline direction), flow velocity, turbulence dissipation rate, and entrainment coefficient. The data was generated by CFD-LES approach using FLUENT software and post-processed by TECPLOT and Excel. Purpose: To simulate the oil and gas fluid dynamics after the Deepwater Horizon oil spill. Status: Progress code: completed Point of contact: Responsible party: Individual name: Feng Gao Organisation name: New Jersey Institute of Technology / Department of Mechanical & Industrial Engineering Position name: Graduate Student Contact info: Contact: Phone: Telephone: Voice: Facsimile: Address: Address: Delivery point: 154 Summit St University Heights City: Newark Administrative area: New Jersey Postal code: 07102 Country: USA Electronic mail address: gaofeng0414@gmail.com Role: Role code: pointOfContact Point of contact: Responsible party: Individual name: Michel Boufadel Organisation name: New Jersey Institute of Technology / Department of Civil and Environmental Engineering Position name: Professor Contact info: Contact: Phone: Telephone: Voice: 9735965657 Facsimile: Address: Address: Delivery point: 435 Colton Hall 323 MLK Blvd City: Newark Administrative area: New Jersey Postal code: 07102 Country: USA Electronic mail address: michel.boufadel@njit.edu Role: Role code: pointOfContact Descriptive keywords: Keywords: Keyword: CFD Keyword: turbulence energy Keyword: droplet size distribution Keyword: computational fluid dynamics Keyword: Macondo255 Keyword: large eddy simulation Keyword: LES Keyword: oil holdup Keyword: gas holdup Type: Keyword type code: theme Descriptive keywords: Keywords: Keyword: inapplicable Type: Keyword type code: place Resource constraints: title: Cite As Constraints: Use limitation: Feng Gao. 2018. Dataset for: Was the Deepwater Horizon well discharge churn flow? Implications on the estimation of the oil discharge and droplet size distribution. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7Q23XS7 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: Boufadel, M. C., Gao, F., Zhao, L., Özgökmen, T., Miller, R., King, T., … Leifer, I. (2018). Was the Deepwater Horizon Well Discharge Churn Flow? Implications on the Estimation of the Oil Discharge and Droplet Size Distribution. Geophysical Research Letters, 45(5), 2396–2403. doi:10.1002/2017gl076606 Date: inapplicable Aggregate Data Set Identifier: title: Related Publication DOI Identifier: Code: Anchor: xlink: https://dx.doi.org/10.1002/2017gl076606 title: DOI doi:10.1002/2017gl076606 Association Type: Association type code: crossReference Language: eng; USA Topic category: Topic category code: oceans Topic category: Topic category code: environment Extent: Extent: Description: The dataset contains simulation data, no field sampling involved. Supplemental Information: other figures.xlsx: Normalized turbulence dissipation rate (dimensionless), Oil and gas holdups (dimensionless), Radial direction (m), Vertical direction (m), Time (s), Entrainment coefficient (dimensionless), Turbulent intensity in the radial direction (r/b) where r=radial direction and b=half radius (dimensionless), Mean axial velocity (m/s) normalized by the value at the center along the radial direction (m), Elevation (z, m) MovieS1.avi: The oil and gas holdup for the churn flow from the riser for a time duration of 5s, with the frame speed slowed down to 1/5, making the video 25 s in total) MovieS2.avi: The oil and gas holdup for the bubbly flow from the riser for a time duration of 5s, with the frame speed slowed down to 1/5, making the video 25 s in total) MovieS3.wmv: The oil release after the riser was cut on June 3rd, 2010 Figure s2-s4.dat: Node number, Horizontal position (x-coordinate, m), Width position (y-coordinate, m), Vertical position (z-coordinate, m), Horizontal velocity (x-velocity, m/s), Width velocity (y-velocity, m/s), Vertical velocity (z-velocity, m/s), Oil holdup (oil-vof, dimensionless), Gas holdup (gas-vof, dimensionless) Figure s2.xlsx: contains all ASCII data for the 6 lpk files in this dataset, each tab corresponds to a different lpk file named for the elevation (ex. tab "z=3.0 m" corresponds to data file "z3.0.lpk"). Horizontal distance (x, m), Vertical distance (y, m), Flow velocity (m/s), Elevation (z, m) z1.0.lpk-z3.0.lpk: contains raw data provided in Figure s2.xlsx. Horizontal distance (x, m), Vertical distance (y, m), Flow velocity (m/s), Elevation (z, m)|lpk raw data files can be opened by TECPLOT software. For decoding conventions, open the lpk file, click "write data" in the main menu, and an ASCII file can be written.||||
Return To Index

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: avi, wmv, xlsx, lpk, dat, txt Version: inapplicable File decompression technique: zip Distributor transfer options: Digital transfer options: Transfer size: 215.1029 Online: Online Resource: Linkage: URL: https://data.gulfresearchinitiative.org/data/R4.x265.000:0053 Protocol: https Name: Data Landing Page Description: GRIIDC dataset landing page Function: Online function code: information
Return To Index

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: R4.x265.000:0053 on 2021-07-29T04:47:02-05:00
Return To Index

Dataset Links: