Login / Signup

Calculation of the Saturation Properties of a Model Octane-Water System Using Monte Carlo Simulation.

Wenjing GuoPrannay BaliJeffrey R Errington
Published in: The journal of physical chemistry. B (2018)
We use Monte Carlo simulation to compute the saturation properties of a model octane-water system. The system phase separates into water-rich liquid and vapor phases, octane-rich liquid and vapor phases, and water-rich liquid and octane-rich liquid phases at various conditions. We outline a strategy for determining the saturation properties of the mixture over a wide range of temperatures, pressures, and compositions. The approach begins with direct calculations that enable one to locate a single saturation point. A variety of expanded ensemble schemes are then used to trace saturation curves along paths of interest. We show how the overall strategy provides a means to construct pressure-composition diagrams at a fixed temperature and temperature-composition diagrams at a fixed pressure. In addition, we demonstrate how the approach is used to trace the liquid-liquid-vapor triple line over a wide range of temperatures. Simulation data are compared with experimental data, when available. Overall, our results show that the approach provides an efficient means to calculate the saturation properties of a binary system.
Keyphrases
  • monte carlo
  • ionic liquid
  • electronic health record
  • big data
  • machine learning
  • virtual reality
  • risk assessment
  • artificial intelligence