Offshore oil-spill occurrence rates

LaBelle, Robert P.; Anderson, C.M.

doi:10.1109/oceans.1996.568321

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…One of the most important causes of pollution in the ocean is the intensive oil emission onto the water. Natural oil is present in the ocean due to natural phenomena, but many statistic studies showed that human activities change the percentage of oil in water, sometimes with dramatic effects [1]. Oil spills caused by accidental or intentional emissions interact with the local marine ecosystems and, by modifying the delicate air-sea balance, exhibit great influence on large-and short-scale phenomena.…”

Section: Introductionmentioning

confidence: 99%

SAR raw signal simulation of oil slicks in ocean environments

Franceschetti¹,

Iodice²,

Riccio³

et al. 2002

IEEE Trans. Geosci. Remote Sensing

104

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Abstract-Synthetic aperture radar (SAR) raw signal simulation is a powerful tool for design of oil slick detection and interpretation systems. In this paper, the ocean simulation issues are presented, and the main problems relating to the oil presence on the sea surface are treated. Attention is focused on the electromagnetic side of the problem, with care to the sensor signatures, the dielectric, physical-chemical, and geometric nature of the oil slick, and to the environmental conditions. The presented SAR simulator is based on an ocean model and an oil slick model. The former makes use of multiscale description of the ocean surface: the distributed surface model for the SAR-ocean interaction is considered by taking into account the nonlinear hydrodynamic effect for the water particle movement. The latter model implements a modification of the ocean spectrum, based on the Marangoni theory and accounting for the nonlinear wave interaction mechanism. However, the proposed SAR raw signal simulator is modular and flexible, thus allowing other possible physical models for modeling the oil slick effect over the ocean spectrum. Meaningful SAR simulation experiments are presented and discussed, elucidating the role of difference on pollutants, oil thickness, wind speed and direction, incident wavelength and angle and other radar parameters. Validation of the simulator is also presented by comparison with experimental data. A striking conclusion of the paper is that higher order moments (from the second on) of oil slick SAR image statistics are quite different compared to those pertinent to an equivalent wind speed decrease on the imaged area. This suggests a convenient way to define new appropriate oil slick signatures.

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Section: Introductionmentioning

confidence: 99%

SAR raw signal simulation of oil slicks in ocean environments

Franceschetti¹,

Iodice²,

Riccio³

et al. 2002

IEEE Trans. Geosci. Remote Sensing

104

View full text Add to dashboard Cite

show abstract

“…Many improvements have been made over the past four decades on the OSRA model, e.g., [43][44][45][46][47][48]. As shown in Figure 3, in the GOM, the OSRA model typically launches trajectories from over 6000 hypothetical oil spill locations (at 0.1° by 0.1° spatial resolution) in the offshore US waters within the planning areas for BOEM's lease sales.…”

Section: A More Efficient Way To Estimate the Probability Of Oil Spilmentioning

confidence: 99%

Progress of the Oil Spill Risk Analysis (OSRA) Model and Its Applications

Ji¹,

Li²,

Johnson³

et al. 2021

JMSE

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The Bureau of Ocean Energy Management (BOEM) is responsible for managing the development of US Outer Continental Shelf (OCS) energy and mineral resources. Because oil spills may occur from offshore oil and gas activities, BOEM conducts oil spill risk analysis (OSRA) prior to oil and gas lease sales. Since the 1970s, BOEM has developed and applied the OSRA model to evaluate the risk of potential oil spills to environmental resources. This paper summarizes some of the OSRA model progress and applications in the past decade: (1) calculation of the risk of catastrophic oil spills (with a volume over one million barrels), which concludes that the return period of a catastrophic oil spill in OCS areas is estimated to be 165 years; (2) a more efficient way to estimate the probability of oil spill contact to environmental resources in the Gulf of Mexico; (3) weathering calculations in OSRA, which enhances the accuracy of the OSRA model results; and (4) application of OSRA to the Ixtoc I oil spill as an example of how the OSRA model simulates large oil spills for oil spill preparedness and response.

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Offshore oil-spill occurrence rates

Cited by 2 publications

References 3 publications

SAR raw signal simulation of oil slicks in ocean environments

SAR raw signal simulation of oil slicks in ocean environments

Progress of the Oil Spill Risk Analysis (OSRA) Model and Its Applications

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