Predictive Model for Pressure-Volume-Temperature Properties and Asphaltene Instability of Crude Oils under Gas Injection

Wael A. Fouad; Mohammed I.L. Abutaqiya; Kristian Mogensen; Yit Fatt Yap; Afshin Goharzadeh; Francisco M. Vargas; Lourdes F. Vega

doi:10.1021/acs.energyfuels.8b01783

Predictive Model for Pressure-Volume-Temperature Properties and Asphaltene Instability of Crude Oils under Gas Injection

Wael A. Fouad^*
, Mohammed I.L. Abutaqiya
, Kristian Mogensen
, Yit Fatt Yap
, Afshin Goharzadeh
, Francisco M. Vargas
, Lourdes F. Vega

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

A new approach based on the statistical associating fluid theory is presented here to model eight light crude oils, with the saturate, aromatic, resin, and asphaltene analysis as the only input for the model.

Original language	English
Pages (from-to)	8318-8328
Number of pages	11
Journal	Energy and Fuels
Volume	32
Issue number	8
DOIs	https://doi.org/10.1021/acs.energyfuels.8b01783
State	Published - 16 Aug 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2018 American Chemical Society.

ASJC Scopus subject areas

General Chemical Engineering
Fuel Technology
Energy Engineering and Power Technology

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10.1021/acs.energyfuels.8b01783

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title = "Predictive Model for Pressure-Volume-Temperature Properties and Asphaltene Instability of Crude Oils under Gas Injection",

abstract = "A new approach based on the statistical associating fluid theory is presented here to model eight light crude oils, with the saturate, aromatic, resin, and asphaltene analysis as the only input for the model.",

author = "Fouad, \{Wael A.\} and Abutaqiya, \{Mohammed I.L.\} and Kristian Mogensen and Yap, \{Yit Fatt\} and Afshin Goharzadeh and Vargas, \{Francisco M.\} and Vega, \{Lourdes F.\}",

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AU - Fouad, Wael A.

AU - Abutaqiya, Mohammed I.L.

AU - Mogensen, Kristian

AU - Yap, Yit Fatt

AU - Goharzadeh, Afshin

AU - Vargas, Francisco M.

AU - Vega, Lourdes F.

PY - 2018/8/16

Y1 - 2018/8/16

N2 - A new approach based on the statistical associating fluid theory is presented here to model eight light crude oils, with the saturate, aromatic, resin, and asphaltene analysis as the only input for the model.

AB - A new approach based on the statistical associating fluid theory is presented here to model eight light crude oils, with the saturate, aromatic, resin, and asphaltene analysis as the only input for the model.

UR - https://www.scopus.com/pages/publications/85049890389

U2 - 10.1021/acs.energyfuels.8b01783

DO - 10.1021/acs.energyfuels.8b01783

M3 - Article

AN - SCOPUS:85049890389

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JO - Energy and Fuels

JF - Energy and Fuels

IS - 8

ER -

Predictive Model for Pressure-Volume-Temperature Properties and Asphaltene Instability of Crude Oils under Gas Injection

Abstract

Bibliographical note

ASJC Scopus subject areas

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