Experimental simulation of crude oil-water partitioning behavior of BTEX compounds during a deep submarine oil spill

Jaggi, Aprami; Snowdon, Ryan W.; Stopford, Andrew P.; Radović, Jagoš R.; Oldenburg, Thomas B. P.; Larter, Stephen R.

doi:10.1016/j.orggeochem.2017.03.006

Cited by 22 publications

(9 citation statements)

References 18 publications

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“…The smallest relative diameter reported was 0.92 ± 0.01, leading to V dead oil = 0.779 ± 0.025; this value is consistent with TAMOC predictions for experiments 1–9 (0.80–0.82). f Simulated value at the end of the experiment of Pesch et al g This result is based on two Peng–Robinson equation-of-state (PR EOS) calculations of methane-saturated live oil at 20 °C and 151 and 1.01325 bar, respectively. Based on the first of these calculations, the initial methane content in the live oil at the beginning of the experiment of Pesch et al was estimated to be 56.9 kg m –3 , which is reasonably close to the 42.3 kg m –3 assumed by Pesch et al based on laboratory data by Jaggi et al for a similar light oil (methane-saturated Macondo dead oil). The second PR EOS calculation provided the gas and oil volumes after the mixture was brought to 1.01325 bar. h This value was estimated as the calculated quantity of methane needed to reach the observed d P / d P,0 value at the last measurement in the experiment, based on a TAMOC gas–oil equilibrium calculation at 1.0 bar and 20 °C.…”

Section: Resultsmentioning

confidence: 99%

“…f Simulated value at the end of the experiment of Pesch et al 23 g This result is based on two Peng− Robinson equation-of-state (PR EOS) calculations of methane-saturated live oil at 20 °C and 151 and 1.01325 bar, respectively. Based on the first of these calculations, the initial methane content in the live oil at the beginning of the experiment of Pesch et al 23 was estimated to be 56.9 kg m −3 , which is reasonably close to the 42.3 kg m −3 assumed by Pesch et al 23 based on laboratory data by Jaggi et al 76 for a similar light oil (methanesaturated Macondo dead oil). The second PR EOS calculation provided the gas and oil volumes after the mixture was brought to 1.01325 bar.…”

Section: ■ Methodsmentioning

confidence: 99%

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Dynamics of Live Oil Droplets and Natural Gas Bubbles in Deep Water

Gros

Arey

Socolofsky

et al. 2020

Environ. Sci. Technol.

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Section: Resultsmentioning

confidence: 99%

Section: ■ Methodsmentioning

confidence: 99%

Dynamics of Live Oil Droplets and Natural Gas Bubbles in Deep Water

Gros

Arey

Socolofsky

et al. 2020

Environ. Sci. Technol.

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“…To help resolve the issues of droplet size formation with and without SSDI, and to determine partitioning of oil into its constituents, GoMRI supported the development of high-pressure jet modules and other experimental set-ups (e.g., Figure 5; Jaggi et al, 2017;Malone et al, 2018;Pesch et al, 2018Pesch et al, , 2020. Importantly, these experiments included the use of methane-saturated surrogate oils to evaluate the dynamic processes associated with the physical and chemical mechanisms present in an uncontrolled blowout.…”

Section: Subsurface Dispersant Injection (Ssdi) Applicationmentioning

confidence: 99%

A Decade of GoMRI Dispersant Science: Lessons Learned and Recommendations for the Future

Quigg¹,

Farrington²,

Gilbert³

et al. 2021

Oceanog

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Dispersants are among a number of options available to oil spill responders. The goals of this technique are to remove oil from surface waters in order to reduce exposure of surface-dwelling organisms, to keep oil slicks from impacting sensitive shorelines, and to protect responders from volatile organic compounds. During the Deepwater Horizon response, unprecedented volumes of dispersants (Corexit 9500 and 9527) were both sprayed on surface slicks from airplanes and applied directly at the wellhead (~1,500 m water depth). A decade of research followed, leading to a deeper understanding of dispersant effectiveness, fate, and effects. These studies resulted in new knowledge regarding dispersant formulations, efficacy, and effects on organisms and processes at a broad range of exposure levels, and about potential environmental and human impacts. Future studies should focus on the application of high volumes of dispersants subsea and the long-term fate and effects of dispersants and dispersed oil. In considering effects, the research and applications of the knowledge gained should go beyond concerns for acute toxicity and consider sublethal impacts at all levels of biological organization. Contingency planning for the use of dispersants during oil spill response should consider more deeply the temporal duration, effectiveness (especially of subsurface applications), spatial reach, and volume applied.

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“…Improvements in the time-varying estimation of initial droplet size distribution as live oil rises from the buoyant plume into the far-field water column will likely result in the next breakthrough. These estimates should be based on our understanding of multiphase and pressuredrop processes on the gas portion of the gas-saturated droplets (Griffiths, 2012;Socolosky et al, 2016;Vaz et al, 2020;Malone et al, 2020;Faillettaz et al, 2021), their evolution through partitioning and degassing during oil ascent in the water column (Gros et al, 2016;Jaggi et al, 2017Jaggi et al, , 2020Pesch et al, 2018) and biodegradation (Joye et al, 2016b), and on the acquired knowledge of the effect of subsea dispersant injection (Paris et al, 2012(Paris et al, , 2018French-McCay et al, 2019).…”

Section: Near-field Processes: Plume Formation and Dynamicsmentioning

confidence: 99%

Physical Transport Processes that Affect the Distribution of Oil in the Gulf of Mexico: Observations and Modeling

Boufadel¹,

Bracco

Chassignet³

et al. 2021

Oceanog

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Physical transport processes such as the circulation and mixing of waters largely determine the spatial distribution of materials in the ocean. They also establish the physical environment within which biogeochemical and other processes transform materials, including naturally occurring nutrients and human-made contaminants that may sustain or harm the region’s living resources. Thus, understanding and modeling the transport and distribution of materials provides a crucial substrate for determining the effects of biological, geological, and chemical processes. The wide range of scales in which these physical processes operate includes microscale droplets and bubbles; small-scale turbulence in buoyant plumes and the near-surface “mixed” layer; submesoscale fronts, convergent and divergent flows, and small eddies; larger mesoscale quasi-geostrophic eddies; and the overall large-scale circulation of the Gulf of Mexico and its interaction with the Atlantic Ocean and the Caribbean Sea; along with air-sea interaction on longer timescales. The circulation and mixing processes that operate near the Gulf of Mexico coasts, where most human activities occur, are strongly affected by wind- and river-induced currents and are further modified by the area’s complex topography. Gulf of Mexico physical processes are also characterized by strong linkages between coastal/shelf and deeper offshore waters that determine connectivity to the basin’s interior. This physical connectivity influences the transport of materials among different coastal areas within the Gulf of Mexico and can extend to adjacent basins. Major advances enabled by the Gulf of Mexico Research Initiative in the observation, understanding, and modeling of all of these aspects of the Gulf’s physical environment are summarized in this article, and key priorities for future work are also identified.

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Experimental simulation of crude oil-water partitioning behavior of BTEX compounds during a deep submarine oil spill

Cited by 22 publications

References 18 publications

Dynamics of Live Oil Droplets and Natural Gas Bubbles in Deep Water

Dynamics of Live Oil Droplets and Natural Gas Bubbles in Deep Water

A Decade of GoMRI Dispersant Science: Lessons Learned and Recommendations for the Future

Physical Transport Processes that Affect the Distribution of Oil in the Gulf of Mexico: Observations and Modeling

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