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  4. Predicting the state and properties of Deepwater Horizon oil under pressure using the Peng-Robinson equation of state
 
conference poster not in proceedings

Predicting the state and properties of Deepwater Horizon oil under pressure using the Peng-Robinson equation of state

Gros, Jonas  
•
Nelson, R.K.
•
Reddy, C.M.
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2015
Gulf of Mexico Oil Spill & Ecosystem Science Conference

Being able to estimate the partitioning behavior of the live oil mixture between a gas and a hydrocarbon liquid phase is crucial for valid modeling of the behavior of the emitted fluid. Equations of state are a well-known way to estimate the phase partitioning and phase properties of real fluids under varying pressure and temperature conditions. We used the Peng-Robinson equation of state in combination with the Lin-Duan volume translation to predict the phase partitioning and phase densities of the emitted fluid at pressures and temperatures corresponding to Gulf of Mexico water column depths ranging from 0 to 1500 m. We modeled the emitted fluid based on the 148 compounds quantified on an individual basis by Reddy et al. (2012), together with 131 pseudo-components derived from comprehensive two-dimensional gas chromatography with a flame ionization detector and simulated distillation data for the thousands of compounds not measured on an individual basis. Several correlation methods were used to estimate the required properties, when data were unavailable. The predicted density of the dead oil at surface conditions matches the measured density within <1%. Our calculations predict a partitioning of the emitted mixture at 1500 m depth of ~30% gas and ~70% liquid hydrocarbons.

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Type
conference poster not in proceedings
Author(s)
Gros, Jonas  
Nelson, R.K.
Reddy, C.M.
Socolofsky, S.A.
Arey, Jeremy Samuel  
Date Issued

2015

Written at

EPFL

EPFL units
LMCE  
Event nameEvent placeEvent date
Gulf of Mexico Oil Spill & Ecosystem Science Conference

Houston, USA

February 16-19, 2015

Available on Infoscience
February 22, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/124329
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