Oil spill modeling in deep waters: Estimation of pseudo-component properties for cubic equations of state from distillation data

Gros, Jonas; Dissanayake, Anusha L.; Daniels, Meghan M.; Barker, Christopher H.; Lehr, William; Socolofsky, Scott A.

doi:10.1016/j.marpolbul.2018.10.047

Cited by 16 publications

(12 citation statements)

References 56 publications

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“…Several equations of state are available to models, and recently, emphasis has focused on the Ping-Robinson equation of state with volume translation (Gros et al [112][113][114]). This cubic equation of state requires knowledge of several thermodynamic properties of the various components of the oil (e.g., critical point properties, acentric factor, heat of solution, etc.)…”

Section: Well Blow-out Plume Modelingmentioning

confidence: 99%

Progress in Operational Modeling in Support of Oil Spill Response

Barker

Kourafalou

Beegle-Krause

et al. 2020

JMSE

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Following the 2010 Deepwater Horizon accident of a massive blow-out in the Gulf of Mexico, scientists from government, industry, and academia collaborated to advance oil spill modeling and share best practices in model algorithms, parameterizations, and application protocols. This synergy was greatly enhanced by research funded under the Gulf of Mexico Research Initiative (GoMRI), a 10-year enterprise that allowed unprecedented collection of observations and data products, novel experiments, and international collaborations that focused on the Gulf of Mexico, but resulted in the generation of scientific findings and tools of broader value. Operational oil spill modeling greatly benefited from research during the GoMRI decade. This paper provides a comprehensive synthesis of the related scientific advances, remaining challenges, and future outlook. Two main modeling components are discussed: Ocean circulation and oil spill models, to provide details on all attributes that contribute to the success and limitations of the integrated oil spill forecasts. These forecasts are discussed in tandem with uncertainty factors and methods to mitigate them. The paper focuses on operational aspects of oil spill modeling and forecasting, including examples of international operational center practices, observational needs, communication protocols, and promising new methodologies.

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Section: Well Blow-out Plume Modelingmentioning

confidence: 99%

Progress in Operational Modeling in Support of Oil Spill Response

Barker

Kourafalou

Beegle-Krause

et al. 2020

JMSE

Self Cite

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“…Thus, the dissolution rates accounting for the effect of surfactants were adopted with the same method described in Leonte et al 52 for the gaseous components 53 . The pseudo-components required to describe the oil can be found in the ADIOS oil library ( https://noaa-orr-erd.github.io/ADIOS/ ) as “LIGHT LOUISIANNA SWEET, BP” and its incorporation method into the TAMOC is adopted from Gros, et al 54 . Under this assumption, the volume fraction of oil at the source (compressed volumes) reaches to about 6.7%, which is smaller than the 10% limit recommended by Kvenvolden 55 for the GoM seeps.…”

Section: Methodsmentioning

confidence: 99%

Variability of a natural hydrocarbon seep and its connection to the ocean surface

Razaz

Iorio

Wang

et al. 2020

Sci Rep

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Natural hydrocarbon seeps are ubiquitous along continental margins. Despite their significance, we lack a basic understanding of the long-term temporal variability of seep dynamics, including bubble size, rise velocity, composition, and upwelling and entrainment processes. The shortcoming makes it difficult to constrain the global estimates of oil and gas entering the marine environment. Here we report on a multi-method approach based on optical, acoustic, satellite remote sensing, and simulations, to connect the characteristics of a hydrocarbon seep in the Gulf of Mexico to its footprint on the sea surface. Using an in-situ camera, bubble dynamics at the source were measured every 6 h over 153 days and the integrated total hydrocarbon release volume was estimated as 53 m 3. the vertical velocity was acoustically measured at 20 m above bed (mab) and found to be approximately 40% less than the dispersed-phase at the source, indicating that the measured values are reflecting the plume continuous-phase flow. Numerical simulations predict that the oily bubbles with diameters larger than 8 mm reach the surface with a small footprint, i.e. forming an oil slick origin, deflection of which with wind and surface current leads to the formation of an oil slick on the surface. Nineteen SAR images are used to estimate the oil seepage rate from GC600 for 2017 giving an average discharge of 14.4 cm 3 /s. Natural hydrocarbon seeps have been reported from a broad range of oceanographic settings from the coast to the deep ocean over a wide variety of geological environments that affect the biosphere, the hydrosphere, and the atmosphere 1. Beside the anthropogenic sources, hydrocarbon seeps are the single most important natural source of oil and methane (CH 4) that enter the ocean 2. Best estimates indicate that 3 to 48 Tg/y of geo-CH 4 is released from marine seeps alone 3,4. Recent global estimates of crude oil seepage range from 0.2 to 2 Mt with a best estimate of 0.6 Mt that accounts for 47% of the global estimate. The large uncertainties in estimates of hydrocarbons released from offshore marine sources are due to a wide range of factors including size, rise velocity, contamination by surfactants such as gas hydrates, composition, upwelling and entrainment effects, and interaction of gaseous bubbles and oil droplets with the local ocean environment that vary constantly with time. To quantify the bubble/droplet size and rise velocity and the corresponding emission rate of hydrocarbons from the seafloor, investigators have primarily relied on snapshot acoustic 5-9 or optical 10-13 measurements. Based on these measurements, significant changes in hydrocarbon seepage and bubble venting have been inferred to occur over intervals of months to years 14. Sufficiently long time series of seepage characteristics rarely exist to conclusively address the day-today variability of bubble size and rise velocity or the spatial changes in vent location over an extended period. Time variation in seep emissions is of particular interest. It impl...

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“…TAMOC includes capabilities to model major blowouts or ruptures and the transition to a buoyant bubble or droplet plume as entrainment and ebullition occur . For our purposes of modeling a CO 2 well blowout, we make use of TAMOC's built‐in equation of state model and the default TAMOC database including CO 2 chemical properties that extends TAMOC's applicability to CO 2 blowouts . We further chose to use the bent‐plume model (BPM) that handles the case of a buoyant CO 2 plume moving in ambient seawater with a nominal overall cross current.…”

Section: Processes and Methodsmentioning

confidence: 99%

“…31,34 For our purposes of modeling a CO 2 well blowout, we make use of TAMOC's built-in equation of state model 32 and the default TAMOC database including CO 2 chemical properties that extends TAMOC's applicability to CO 2 blowouts. 43 We further chose to use the bent-plume model (BPM) that handles the case of a buoyant CO 2 plume moving in ambient seawater with a nominal overall cross current. TAMOC uses an integral approach to model the buoyant bubble plume and entrained sea water 34,44,45 and models the dissolution processes by a discrete particle model.…”

Section: Water-column Modelingmentioning

confidence: 99%

Major CO₂ blowouts from offshore wells are strongly attenuated in water deeper than 50 m

Oldenburg

Pan

2019

Greenhouse Gases

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Growing interest in offshore geologic carbon sequestration (GCS) motivates evaluation of the consequences of subsea CO2 well blowouts. We have simulated a hypothetical major CO2 well blowout in shallow water of the Texas Gulf Coast. We use a coupled reservoir‐well model (T2Well) to simulate the subsea blowout flow rate for input to an integral model (TAMOC) for modeling CO2 transport in the water column. Bubble sizes are estimated for the blowout scenario for input to TAMOC. Results suggest that a major CO2 blowout in ≥50 m of water will be almost entirely attenuated by the water column due to CO2 dissolution into seawater during upward rise. In contrast, the same blowout in 10 m of water will hardly be attenuated at all. Results also show that the size of the orifice of the leak strongly controls the CO2 blowout rate. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Oil spill modeling in deep waters: Estimation of pseudo-component properties for cubic equations of state from distillation data

Cited by 16 publications

References 56 publications

Progress in Operational Modeling in Support of Oil Spill Response

Progress in Operational Modeling in Support of Oil Spill Response

Variability of a natural hydrocarbon seep and its connection to the ocean surface

Major CO₂ blowouts from offshore wells are strongly attenuated in water deeper than 50 m

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Oil spill modeling in deep waters: Estimation of pseudo-component properties for cubic equations of state from distillation data

Cited by 16 publications

References 56 publications

Progress in Operational Modeling in Support of Oil Spill Response

Progress in Operational Modeling in Support of Oil Spill Response

Variability of a natural hydrocarbon seep and its connection to the ocean surface

Major CO2 blowouts from offshore wells are strongly attenuated in water deeper than 50 m

Contact Info

Product

Resources

About

Major CO₂ blowouts from offshore wells are strongly attenuated in water deeper than 50 m