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1.
Mar Pollut Bull ; 186: 114377, 2023 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-36493519

RESUMEN

Deepwater hydrocarbon releases experience complex chemical and physical processes. To assess simplifications of these processes on model predictions, we present a sensitivity analysis using simulations for the Deepwater Horizon oil spill. We compare the buoyant multiphase plume metrics (trap height, rise time etc), the hydrocarbon mass flowrates at the near-field plume termination and their mass fractions dissolved in the water column and reaching the water surface. The baseline simulation utilizes a 19-component hydrocarbon model, live-fluid state equations, hydrate dynamics, and heat and mass transfer. Other simulations turn-off each of these processes, with the simplest one using inert oil and methane gas. Plume metrics are the least sensitive to the modeled processes and can be matched by adjusting the release buoyancy flux. The mass flowrate metrics are more sensitive. Both liquid- and gas-phase mass transfer should be modeled for accurate tracking of soluble components (e.g. C1 - C7 hydrocarbons) in the environment.


Asunto(s)
Contaminación por Petróleo , Petróleo , Contaminantes Químicos del Agua , Hidrodinámica , Contaminantes Químicos del Agua/análisis , Contaminación por Petróleo/análisis , Termodinámica , Agua/análisis , Fenómenos Químicos , Hidrocarburos/análisis , Golfo de México , Petróleo/análisis
2.
Environ Sci Technol ; 54(19): 11865-11875, 2020 10 06.
Artículo en Inglés | MEDLINE | ID: mdl-32856452

RESUMEN

Explaining the dynamics of gas-saturated live petroleum in deep water remains a challenge. Recently, Pesch et al. [ Environ. Eng. Sci. 2018, 35 (4), 289-299] reported laboratory experiments on methane-saturated oil droplets under emulated deep-water conditions, providing an opportunity to elucidate the underlying dynamical processes. We explain these observations with the Texas A&M Oil spill/Outfall Calculator (TAMOC), which models the pressure-, temperature-, and composition-dependent interactions between oil-gas phase transfer; aqueous dissolution; and densities and volumes of liquid oil droplets, gas bubbles, and two-phase droplet-bubble pairs. TAMOC reveals that aqueous dissolution removed >95% of the methane from ∼3.5 mm live oil droplets within 14.5 min, prior to gas bubble formation, during the experiments of Pesch et al. Additional simulations indicate that aqueous dissolution, fluid density changes, and gas-oil phase transitions (ebullition, condensation) may all contribute to the fates of live oil and gas in deep water, depending on the release conditions. Illustrative model scenarios suggest that 5 mm diameter gas bubbles released at a <470 m water depth can transport methane, ethane, and propane to the water surface. Ethane and propane can reach the water surface from much deeper releases of 5 mm diameter live oil droplets, during which ebullition occurs at water depths of <70 m.


Asunto(s)
Contaminación por Petróleo , Petróleo , Gas Natural , Contaminación por Petróleo/análisis , Texas , Agua
3.
Mar Pollut Bull ; 137: 627-637, 2018 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-30503477

RESUMEN

Deep-water oil spills represent a major, localized threat to marine ecosystems. Multi-purpose computer models have been developed to predict the fate of spilled oil. These models include databases of pseudo-components from distillation cut analysis for hundreds of oils, and have been used for guiding response action, damage assessment, and contingency planning for marine oil spills. However, these models are unable to simulate the details of deep-water, high-pressure chemistry. We present a new procedure to calculate the chemical properties necessary for such simulations that we validate with 614 oils from the ADIOS oil library. The calculated properties agree within 20.4% with average values obtained from data for measured compounds, for 90% of the chemical properties. This enables equation-of-state calculations of dead oil density, viscosity, and interfacial tension. This procedure enables development of comprehensive oil spill models to predict the behavior of petroleum fluids in the deep sea.


Asunto(s)
Simulación por Computador , Contaminación por Petróleo/análisis , Contaminación Química del Agua/análisis , Bases de Datos Factuales , Destilación , Ecosistema , Hidrocarburos/análisis , Hidrocarburos/química , Petróleo , Agua de Mar , Tensión Superficial , Viscosidad , Contaminantes Químicos del Agua/análisis , Contaminantes Químicos del Agua/química
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