A computational tool for parameter estimation in EoS: New methodologies and natural gas phase equilibria calculations

Samir S. Abunahman*, Letícia C. dos Santos, Frederico W. Tavares, Georgios M. Kontogeorgis

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Brazilian pre-salt reservoirs represent the discovery of large amounts of light oil, but at high pressures and containing high concentration of CO2. Proper parameter estimation procedures are essential to perform more accurate predictions of their thermodynamic properties. Therefore, two new methodologies for such calculations have been implemented here: by applying simultaneously VLE and LLE to the metric;and by handling water content in dew point conditions. Utilizing the Cubic-Plus-Association (CPA) EoS, they were employed to obtain new parameters for water. Also, new parameters were obtained forH2O + CO2 mixtures, whose average absolute deviation in water content at high pressures fell from 24% to 3% compared to previous publications. The same procedure was performed for other aqueous mixtures containing H2S and light hydrocarbons. Finally, this study has been applied into a natural gas compressing simulation with CO2, studying streams properties comparing the parameters obtained in this work with the literature.
Original languageEnglish
Article number115437
JournalChemical Engineering Science
Volume215
Number of pages13
ISSN0009-2509
DOIs
Publication statusPublished - 2020

Keywords

  • Equations of state
  • Parameter estimation
  • Computational tool
  • Natural gas production

Cite this

@article{73764980ce1c47e4ac53abcf2f7250f0,
title = "A computational tool for parameter estimation in EoS: New methodologies and natural gas phase equilibria calculations",
abstract = "Brazilian pre-salt reservoirs represent the discovery of large amounts of light oil, but at high pressures and containing high concentration of CO2. Proper parameter estimation procedures are essential to perform more accurate predictions of their thermodynamic properties. Therefore, two new methodologies for such calculations have been implemented here: by applying simultaneously VLE and LLE to the metric;and by handling water content in dew point conditions. Utilizing the Cubic-Plus-Association (CPA) EoS, they were employed to obtain new parameters for water. Also, new parameters were obtained forH2O + CO2 mixtures, whose average absolute deviation in water content at high pressures fell from 24{\%} to 3{\%} compared to previous publications. The same procedure was performed for other aqueous mixtures containing H2S and light hydrocarbons. Finally, this study has been applied into a natural gas compressing simulation with CO2, studying streams properties comparing the parameters obtained in this work with the literature.",
keywords = "Equations of state, Parameter estimation, Computational tool, Natural gas production",
author = "Abunahman, {Samir S.} and {dos Santos}, {Let{\'i}cia C.} and Tavares, {Frederico W.} and Kontogeorgis, {Georgios M.}",
year = "2020",
doi = "10.1016/j.ces.2019.115437",
language = "English",
volume = "215",
journal = "Chemical Engineering Science",
issn = "0009-2509",
publisher = "Pergamon Press",

}

A computational tool for parameter estimation in EoS: New methodologies and natural gas phase equilibria calculations. / Abunahman, Samir S.; dos Santos, Letícia C.; Tavares, Frederico W.; Kontogeorgis, Georgios M.

In: Chemical Engineering Science, Vol. 215, 115437, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A computational tool for parameter estimation in EoS: New methodologies and natural gas phase equilibria calculations

AU - Abunahman, Samir S.

AU - dos Santos, Letícia C.

AU - Tavares, Frederico W.

AU - Kontogeorgis, Georgios M.

PY - 2020

Y1 - 2020

N2 - Brazilian pre-salt reservoirs represent the discovery of large amounts of light oil, but at high pressures and containing high concentration of CO2. Proper parameter estimation procedures are essential to perform more accurate predictions of their thermodynamic properties. Therefore, two new methodologies for such calculations have been implemented here: by applying simultaneously VLE and LLE to the metric;and by handling water content in dew point conditions. Utilizing the Cubic-Plus-Association (CPA) EoS, they were employed to obtain new parameters for water. Also, new parameters were obtained forH2O + CO2 mixtures, whose average absolute deviation in water content at high pressures fell from 24% to 3% compared to previous publications. The same procedure was performed for other aqueous mixtures containing H2S and light hydrocarbons. Finally, this study has been applied into a natural gas compressing simulation with CO2, studying streams properties comparing the parameters obtained in this work with the literature.

AB - Brazilian pre-salt reservoirs represent the discovery of large amounts of light oil, but at high pressures and containing high concentration of CO2. Proper parameter estimation procedures are essential to perform more accurate predictions of their thermodynamic properties. Therefore, two new methodologies for such calculations have been implemented here: by applying simultaneously VLE and LLE to the metric;and by handling water content in dew point conditions. Utilizing the Cubic-Plus-Association (CPA) EoS, they were employed to obtain new parameters for water. Also, new parameters were obtained forH2O + CO2 mixtures, whose average absolute deviation in water content at high pressures fell from 24% to 3% compared to previous publications. The same procedure was performed for other aqueous mixtures containing H2S and light hydrocarbons. Finally, this study has been applied into a natural gas compressing simulation with CO2, studying streams properties comparing the parameters obtained in this work with the literature.

KW - Equations of state

KW - Parameter estimation

KW - Computational tool

KW - Natural gas production

U2 - 10.1016/j.ces.2019.115437

DO - 10.1016/j.ces.2019.115437

M3 - Journal article

VL - 215

JO - Chemical Engineering Science

JF - Chemical Engineering Science

SN - 0009-2509

M1 - 115437

ER -