Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques

Abstract Cubic equation-of-state solid models are one of the most widely used models to predict asphaltene precipitation behavior. Thermodynamic parameters are needed to model precipitation under different pressures and temperatures and are usually obtained through tuning with multi asphaltene onset...

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Autores principales:	Aktham E. Shoukry, Ahmed H. El-Banbi, Helmy Sayyouh
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2019
Materias:	Asphaltene precipitation Asphaltene onset pressure Asphaltene precipitation modeling Asphaltene thermodynamics Cubic equation of state Science Q Petrology QE420-499
Acceso en línea:	https://doaj.org/article/5080b4641f954890808c179b346dfcfb
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spelling	oai:doaj.org-article:5080b4641f954890808c179b346dfcfb2021-12-02T12:31:43ZEnhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques10.1007/s12182-019-00377-11672-51071995-8226https://doaj.org/article/5080b4641f954890808c179b346dfcfb2019-10-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-019-00377-1https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract Cubic equation-of-state solid models are one of the most widely used models to predict asphaltene precipitation behavior. Thermodynamic parameters are needed to model precipitation under different pressures and temperatures and are usually obtained through tuning with multi asphaltene onset experiments. For the purpose of enhancing the cubic Peng–Robinson solid model and reducing its dependency on asphaltene experiments, this paper tests the use of aromatics and waxes correlations to obtain these thermodynamic parameters. In addition, weighted averages between both correlations are introduced. The averaging is based on reported saturates, aromatics, resins, asphaltene (SARA) fractions, and wax content. All the methods are tested on four oil samples, with previously published data, covering precipitation and onset experiments. The proposed wax-asphaltene average showed the best match with experimental data, followed by a SARA-weighted average. This new addition enhances the model predictability and agrees with the general molecular structure of asphaltene molecules.Aktham E. ShoukryAhmed H. El-BanbiHelmy SayyouhKeAi Communications Co., Ltd.articleAsphaltene precipitationAsphaltene onset pressureAsphaltene precipitation modelingAsphaltene thermodynamicsCubic equation of stateScienceQPetrologyQE420-499ENPetroleum Science, Vol 17, Iss 1, Pp 232-241 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Asphaltene precipitation Asphaltene onset pressure Asphaltene precipitation modeling Asphaltene thermodynamics Cubic equation of state Science Q Petrology QE420-499
spellingShingle	Asphaltene precipitation Asphaltene onset pressure Asphaltene precipitation modeling Asphaltene thermodynamics Cubic equation of state Science Q Petrology QE420-499 Aktham E. Shoukry Ahmed H. El-Banbi Helmy Sayyouh Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques
description	Abstract Cubic equation-of-state solid models are one of the most widely used models to predict asphaltene precipitation behavior. Thermodynamic parameters are needed to model precipitation under different pressures and temperatures and are usually obtained through tuning with multi asphaltene onset experiments. For the purpose of enhancing the cubic Peng–Robinson solid model and reducing its dependency on asphaltene experiments, this paper tests the use of aromatics and waxes correlations to obtain these thermodynamic parameters. In addition, weighted averages between both correlations are introduced. The averaging is based on reported saturates, aromatics, resins, asphaltene (SARA) fractions, and wax content. All the methods are tested on four oil samples, with previously published data, covering precipitation and onset experiments. The proposed wax-asphaltene average showed the best match with experimental data, followed by a SARA-weighted average. This new addition enhances the model predictability and agrees with the general molecular structure of asphaltene molecules.
format	article
author	Aktham E. Shoukry Ahmed H. El-Banbi Helmy Sayyouh
author_facet	Aktham E. Shoukry Ahmed H. El-Banbi Helmy Sayyouh
author_sort	Aktham E. Shoukry
title	Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques
title_short	Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques
title_full	Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques
title_fullStr	Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques
title_full_unstemmed	Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques
title_sort	enhancing asphaltene precipitation modeling by cubic-pr solid model using thermodynamic correlations and averaging techniques
publisher	KeAi Communications Co., Ltd.
publishDate	2019
url	https://doaj.org/article/5080b4641f954890808c179b346dfcfb
work_keys_str_mv	AT akthameshoukry enhancingasphalteneprecipitationmodelingbycubicprsolidmodelusingthermodynamiccorrelationsandaveragingtechniques AT ahmedhelbanbi enhancingasphalteneprecipitationmodelingbycubicprsolidmodelusingthermodynamiccorrelationsandaveragingtechniques AT helmysayyouh enhancingasphalteneprecipitationmodelingbycubicprsolidmodelusingthermodynamiccorrelationsandaveragingtechniques
_version_	1718394277298438144

Enhancing asphaltene precipitation modeling by cubic-PR solid model using thermodynamic correlations and averaging techniques

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