(512h) Identification of the Equilibrium Parameters for the Modeling of the Hydrogen Solubility in Heavy Crude Cuts Using the Matlab-Aspen Connection

Identification of the equilibrium parameters for the
modeling of the hydrogen solubility in heavy crude cuts using the Matlab-Aspen connection.

Camilo MONROY-PEÑA¹, Johana ORJUELA¹

1 Universidad Nacional de Colombia Universidad de
Cundinamarca, Colombia

At present there is an increase in the use of heavy crude oil and
bitumen, which must be converted into clean fuels. The conversion is carried out
in processes such as hydrotreatment and hydrorupture. The design and operation of these equipment
requires knowledge of the solubility of hydrogen in heavy crude blends. Various
investigations have shown that thermodynamic methods such as Grayson Streed (GS)have an acceptable
approximation to the experimental behavior for pure organic compounds, but does
not adequately represent the solubility in heavy cuts. The present work
implements the identification of the parameters of various thermodynamic models
using Aspen Properties ® software as a tool for thermodynamic modeling and Matlab as a tool for optimization and programming of the
NSPSO bioinspired algorithm in order to reduce the error between the
experimental results and the model. Figure 1 compares the experimental data obtained
by Torres et al. 2013 (black), with the GS (blue) and AGS (red) models
developed by Torres et al. 2013 and the Peng Robinson (PR) model with the
optimized parameters (yellow) in this work. We found that the thermodynamic
models of Peng Robinson (PR), PengRobinson modified
by Bostion Matias, Benedith
Webb Rubin Straling reduced by more than 20% the
approximation of the solubility in pure hydrocarbons as well as in the heavy
cuts compared to the work developed by Torres et al. 2013.

Torres, Roger, JC.de Hemptinne, and I. Machin.
"Improving the modeling of Hydrogen solubility in heavy oil cuts using an
augmented Grayson Streed (AGS) Approach." Oil
& Gas Science and Technology–Revue d’IFP Energies
nouvelles 68.2 (2013): 217233.