New method for predicting n-tetradecane/bitumen mixture density: correlation development

Nowadays, incredible growth of the energy consumption has changed the global attention to the production and utilization of the heavy crude oils such as bitumen resources around the globe. Amongst the bitumen properties, density is an important parameter which improves bitumen recovery efficiency an...

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Main Authors: Rostami Alireza, Shokrollahi Amin, Hossein Ghazanfari Mohammad
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:Oil & Gas Science and Technology
Online Access:https://doi.org/10.2516/ogst/2018037
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spelling doaj-3bbc4d0d71f1423d986ad22fdffe90b32021-03-02T09:30:13ZengEDP SciencesOil & Gas Science and Technology1294-44751953-81892018-01-01733510.2516/ogst/2018037ogst180012New method for predicting n-tetradecane/bitumen mixture density: correlation developmentRostami AlirezaShokrollahi AminHossein Ghazanfari MohammadNowadays, incredible growth of the energy consumption has changed the global attention to the production and utilization of the heavy crude oils such as bitumen resources around the globe. Amongst the bitumen properties, density is an important parameter which improves bitumen recovery efficiency and transportation quality. For easy production of bitumen, n-alkanes are usually injected into the reservoir to reduce its viscosity and density; however, there are few numbers of models focusing on proper estimation/prediction of diluted bitumen mixture density in literature. In present work, a new method was proposed to accurately prognosticate the bitumen/n-tetradecane mixture density as a function of thermodynamic conditions using Gene Expression Programming (GEP) for the first time as a function of solvent composition, pressure and temperature. Consequently, the proposed model here predicts the mixture density with the average Absolute Relative Deviation (AARD%) of 0.3016% and R-squared (R 2) of 0.9943. Moreover, it is found out the solvent concentration has the highest impact value on mixture density estimation. In conclusion, results of the present study can be so valuable for field engineers and researchers working on solvent-assisted recovery methods from heavy oil reservoirs.https://doi.org/10.2516/ogst/2018037
collection DOAJ
language English
format Article
sources DOAJ
author Rostami Alireza
Shokrollahi Amin
Hossein Ghazanfari Mohammad
spellingShingle Rostami Alireza
Shokrollahi Amin
Hossein Ghazanfari Mohammad
New method for predicting n-tetradecane/bitumen mixture density: correlation development
Oil & Gas Science and Technology
author_facet Rostami Alireza
Shokrollahi Amin
Hossein Ghazanfari Mohammad
author_sort Rostami Alireza
title New method for predicting n-tetradecane/bitumen mixture density: correlation development
title_short New method for predicting n-tetradecane/bitumen mixture density: correlation development
title_full New method for predicting n-tetradecane/bitumen mixture density: correlation development
title_fullStr New method for predicting n-tetradecane/bitumen mixture density: correlation development
title_full_unstemmed New method for predicting n-tetradecane/bitumen mixture density: correlation development
title_sort new method for predicting n-tetradecane/bitumen mixture density: correlation development
publisher EDP Sciences
series Oil & Gas Science and Technology
issn 1294-4475
1953-8189
publishDate 2018-01-01
description Nowadays, incredible growth of the energy consumption has changed the global attention to the production and utilization of the heavy crude oils such as bitumen resources around the globe. Amongst the bitumen properties, density is an important parameter which improves bitumen recovery efficiency and transportation quality. For easy production of bitumen, n-alkanes are usually injected into the reservoir to reduce its viscosity and density; however, there are few numbers of models focusing on proper estimation/prediction of diluted bitumen mixture density in literature. In present work, a new method was proposed to accurately prognosticate the bitumen/n-tetradecane mixture density as a function of thermodynamic conditions using Gene Expression Programming (GEP) for the first time as a function of solvent composition, pressure and temperature. Consequently, the proposed model here predicts the mixture density with the average Absolute Relative Deviation (AARD%) of 0.3016% and R-squared (R 2) of 0.9943. Moreover, it is found out the solvent concentration has the highest impact value on mixture density estimation. In conclusion, results of the present study can be so valuable for field engineers and researchers working on solvent-assisted recovery methods from heavy oil reservoirs.
url https://doi.org/10.2516/ogst/2018037
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