Inferential/Parametric Forecasting of Subsurface Oil Trajectory Integrating Limited Reconnaissance Data with Flow Field Information for Emergency Response

Project Overview

Implementing Organization
Hohai University

DWH Project Funding


Known Leveraged Funding


Funding Organization

Gulf of Mexico Research Initiative (GoMRI)

Funding Program

Gulf of Mexico Research Initiative (GoMRI) Grant Program

Project Location: Florida

Funding Source: BP
Controlling Document: GOMRI Master Research Agreement
Year Awarded: 2017

Project Details

Project Category

Project Actions

Physical Aspects Research Oil System Safety Research

Targeted Resources

Petroleum Human and/or Institutional Capacity Pelagic Zone

Project Description

When an oil spill or blowout occurs, immediate and pressing questions emerge as to where and when to dispatch response operations. Such questions become daunting when there is significant sunken (bottom) or submerged (water column) oil present, due either to intrinsically-high oil density, sediment entrainment/marine snow formation, and/or weathering. Side-scan sonar equipment is now available for rapid collection of approximate narrow-field data on bottom oil following a spill. While available models are not generally able to use such data directly and rapidly, the inferential SOSim model developed by the PIs group in 2010 can infer and project oil location in time based on limited field data. However, SOSim is designed for assessment only of sunken oil on bay bottoms and continental shelves from instantaneous spills. We propose to expand SOSim capability to allow tracking of submerged, water-column oil, and oil released continuously over a period of time, from available 2-D and 3-D field data, and demonstrate it versus field data from the Gulf of Mexico and elsewhere. Objectives are to: develop capability for modeling continuous spills and blowouts; develop capability for 3-D modeling; and integrate with an existing parametric model to develop inferential/parametric capability, with uncertainty bounds, exploiting reconnaissance data with flow field and bathymetry information.

Project Contact

Project Partners


Affiliated Institutions

SINTEF, University of Miami

Project ID: 1034
Project Name: Inferential/Parametric Forecasting of Subsurface Oil Trajectory Integrating Limited Reconnaissance Data with Flow Field Information for Emergency Response
SourceUID: 305
Latitude: 0
Longitude: 0
Country: USA, NOR, CHN
State or Province: Florida
County: Unknown
Project Category: Science
Project Action: Physical Aspects Research
Additional Project Action(s): Oil System Safety Research
Additional Project Action(s):
Targeted Resource(s): Petroleum
Targeted Resource(s): Human and/or Institutional Capacity
Targeted Resource(s): Pelagic Zone
Anticipated Project Completion Year: 2019
Implementing Organization: Hohai University
Implementing Organization Type: Academic
Point of Contact – Name: James Englehardt
Point of Contact – Phone:
Point of Contact – Email: None
Other Partners: None
Affiliated Institutions: SINTEF, University of Miami
Project Comments: None
Acres Acquired: 0
Close Year: 0
Close Month: 0
Close day: 0
Purchase Type: None
Landowner: None
Landowner Type: None
Purpose: None
Public Access: None
Easement Holder Name : None
Easement Holder Type: None
Secondary Easement Holder 1: None
Secondary Easement Holder 2: None
Duration: None
Term: 0
Land Restoration Acreage: 0
Aquatic Restoration Acreage: 0
Restoration Mileage: 0
Restoration Feet: 0
Additional Acreage: None
Total Dollar Amount (from all funders): 900821
DWH Funder: Gulf of Mexico Research Initiative (GoMRI)
DWH Funder Type: Private
DWH Funding Program: Gulf of Mexico Research Initiative (GoMRI) Grant Program
DWH Dollar Amount : 900821
DWH Source: BP
Fund Origin: Voluntary Agreement
Controlling Documents: GOMRI Master Research Agreement
Award Year: 2017
Award Month: 9
Total Amount Leveraged: 0