Droplet breakup in subsea oil releases – Part 2: Predictions of droplet size distributions with and without injection of chemical dispersants

Johansen, Øistein; Brandvik, Per Johan; Farooq, Umer

doi:10.1016/j.marpolbul.2013.04.012

Cited by 174 publications

(156 citation statements)

References 10 publications

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“…For the model inter-comparison study, blowout simulations for each model were conducted with the same median gas and oil droplet sizes in order to focus model differences on oil and gas dynamics processes rather than differences in particle size distributions; hence, we impose the median particle size values reported in Socolofsky et al [31]. To obtain a complete bubble and droplet size distribution from these characteristic values, we use a Rosin-Rammler distribution with spread coefficient equal to 1.8, as recommended by Johansen et al [70]. We truncate predictions that lie above the maximum stable droplet and bubble sizes, which we compute from equations in Clift et al [9] for liquid droplets and Grace et al [71] for gas bubbles.…”

Section: Test Casesmentioning

confidence: 99%

Integral models for bubble, droplet, and multiphase plume dynamics in stratification and crossflow

2018

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We present the development and validation of a numerical modeling suite for bubble and droplet dynamics of multiphase plumes in the environment. This modeling suite includes real-fluid equations of state, Lagrangian particle tracking, and two different integral plume models: an Eulerian model for a double-plume integral model in quiescent stratification and a Lagrangian integral model for multiphase plumes in stratified crossflows. Here, we report a particle tracking algorithm for dispersed-phase particles within the Lagrangian integral plume model and a comprehensive validation of the Lagrangian plume model for single-and multiphase buoyant jets. The model utilizes literature values for all entrainment and spreading coefficients and has one remaining calibration parameter j, which reduces the buoyant force of dispersed phase particles as they approach the edge of a Lagrangian plume element, eventually separating from the plume as it bends over in a crossflow. We report the calibrated form j ¼ ½ðb À rÞ=b 4 , where b is the plume halfwidth, and r is the distance of a particle from the plume centerline. We apply the validated modeling suite to simulate two test cases of a subsea oil well blowout in a stratificationdominated crossflow. These tests confirm that errors from overlapping plume elements in the Lagrangian integral model during intrusion formation for a weak crossflow are negligible for predicting intrusion depth and the fate of oil droplets in the plume. The Lagrangian integral model has the added advantages of being able to account for entrainment from an arbitrary crossflow, predict the intrusion of small gas bubbles and oil droplets when appropriate, and track the pathways of individual bubbles and droplets after they separate from the main plume or intrusion layer.

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Section: Test Casesmentioning

confidence: 99%

Integral models for bubble, droplet, and multiphase plume dynamics in stratification and crossflow

2018

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“…Aman et al (2015) developed a variant of this equation by implicitly assuming equilibrium conditions within the jet, and determining model coefficients using droplet sizes observed with oil stirred in a reactor. The form of their empirical equation is similar, but their fit coefficients give droplets sizes that are two orders of magnitude smaller than those of Johansen et al (2013). The Johansen equation has been shown to predict reliably against laboratory data and one small field experiment involving jet breakup, but data at large scale are lacking to fully validate either model's predictions.…”

Section: Modeling Deepwater Blowouts Droplet Generationmentioning

confidence: 99%

“…Following Wang and Calabrese (1986), Johansen et al (2013) modified Equation 2 to account for viscosity (which resists droplet breakup when interfacial tension is reduced due to the use of dispersants). They also accounted for the presence of gas mixed with the oil.…”

Section: Modeling Deepwater Blowouts Droplet Generationmentioning

confidence: 99%

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How Do Oil, Gas, and Water Interact Near a Subsea Blowout?

Socolofsky¹,

Adams²,

Paris³

et al. 2016

Oceanog

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“…Such pollution, with droplet sizes too small to be visible to the naked eye, still affects optical properties of seawater. While subsurface oil releases result in oil droplets of several millimetre diameters (Johansen et al 2013). we examine droplets of micrometre size scale, which are common in coastal areas and closed water basins and considered to be permanently dispersed in the water column (Nepstad et al 2015).…”

Section: Introduction Dispersed Oil In Seawatermentioning

confidence: 99%

The effect of dispersed Petrobaltic oil droplet size on photosynthetically active radiation in marine environment

Haule

Freda

2015

Environ Sci Pollut Res

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Oil pollution in seawater, primarily visible on sea surface, becomes dispersed as an effect of wave mixing as well as chemical dispersant treatment, and forms spherical oil droplets. In this study, we examined the influence of oil droplet size of highly dispersed Petrobaltic crude on the underwater visible light flux and the inherent optical properties (IOPs) of seawater, including absorption, scattering, backscattering and attenuation coefficients. On the basis of measured data and Mie theory, we calculated the IOPs of dispersed Petrobaltic crude oil in constant concentration, but different log-normal size distributions. We also performed a radiative transfer analysis, in order to evaluate the influence on the downwelling irradiance Ed, remote sensing reflectance Rrs and diffuse reflectance R, using in situ data from the Baltic Sea. We found that during dispersion, there occurs a boundary size distribution characterized by a peak diameter d0 = 0.3 μm causing a maximum E d increase of 40% within 0.5-m depth, and the maximum Ed decrease of 100% at depths below 5 m. Moreover, we showed that the impact of size distribution on the "blue to green" ratios of Rrs and R varies from 24% increase to 27% decrease at the same crude oil concentration.

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Droplet breakup in subsea oil releases – Part 2: Predictions of droplet size distributions with and without injection of chemical dispersants

Cited by 174 publications

References 10 publications

Integral models for bubble, droplet, and multiphase plume dynamics in stratification and crossflow

Integral models for bubble, droplet, and multiphase plume dynamics in stratification and crossflow

How Do Oil, Gas, and Water Interact Near a Subsea Blowout?

The effect of dispersed Petrobaltic oil droplet size on photosynthetically active radiation in marine environment

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