2007
DOI: 10.1080/10916460601054180
|View full text |Cite
|
Sign up to set email alerts
|

Methodology for Predicting the Phase Envelope of a Heavy Crude Oil and Its Asphaltene Deposition Onset

Abstract: We have presented general ideas to develop a new theoretical methodology, based on molecular simulation and equations of state, for obtaining the phase envelope and to predict pressure, volume, temperature (PVT) conditions of asphaltene precipitation by only taking into account the composition of the heavy crude oil and an asphaltene average molecular structure. Those results show that asphaltene precipitation is a reversible thermodynamic process. The precipitated phase is a liquid phase which consists of mai… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
5
0

Year Published

2010
2010
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 37 publications
1
5
0
Order By: Relevance
“…Our work predicts that the plot of upper onset pressure tends to be parallel to or away from that of the saturation pressure at high temperatures. This is in agreement with the theories in the literature. , However, some of the theories predict that these two plots may eventually meet. , The difference is possibly due to different reservoir oils. After a careful literature search, we do not notice any direct experimental evidence to support either of the predictions.…”
Section: Resultssupporting
confidence: 91%
See 1 more Smart Citation
“…Our work predicts that the plot of upper onset pressure tends to be parallel to or away from that of the saturation pressure at high temperatures. This is in agreement with the theories in the literature. , However, some of the theories predict that these two plots may eventually meet. , The difference is possibly due to different reservoir oils. After a careful literature search, we do not notice any direct experimental evidence to support either of the predictions.…”
Section: Resultssupporting
confidence: 91%
“…[23][24][25][26]28 However, some of the theories predict that these two plots may eventually meet. 18,56 The difference is possibly due to different reservoir oils. After a careful literature search, we do not notice any direct experimental evidence to support either of the predictions.…”
Section: Resultsmentioning
confidence: 99%
“…To investigate the efficiency of heteroatom substitutions on improving the performance of PPA in an interaction with asphaltene molecules, at least in noncovalent reaction paths, we examined the interaction of a short-chain PPA molecule with an island-type asphaltene molecule containing more heteroatoms than those of a usual asphaltene molecule. This asphaltenic structure, shown in Table , was proposed by Speight and Moschopedis based on the asphaltene average molecular structure in 1981. , Regardless of the structural precision of the Speight model, which was improved in the next years, this asphaltene model molecule with a higher percentage of heteroatoms was used here to compare the interaction energy between highly polar asphaltene–PPA and nonpolar asphaltene–PPA. To build a hypothetical nonpolar asphaltene, all the heteroatoms in the Speight model of asphaltene were replaced by C atoms.…”
Section: Resultsmentioning
confidence: 99%
“…This asphaltenic structure, shown in Table 2, was proposed by Speight and Moschopedis based on the asphaltene average molecular structure in 1981. 48,49 Regardless of the structural precision of the Speight model, which was improved in the next years, this asphaltene model molecule with a higher percentage of heteroatoms was used here to compare the interaction energy between highly polar asphaltene−PPA and nonpolar asphaltene−PPA. To build a hypothetical nonpolar asphaltene, all the heteroatoms in the Speight model of asphaltene were replaced by C atoms.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Predictive tools based on scaling equation, corresponding states, and correlations have also been reported in the literature. ,, These tools may, however, be limited to specific systems. Recently, application of mathematical correlations has been investigated for predictions of the amount of asphaltene precipitation. ,, Ashoori et al have used the artificial neural network (ANN) in comparison with the scaling laws and found out that the prediction results of the latter network are more accurate than the modified scaling equations proposed by Rassamdana et al and Hu et al , However, ANN based models should be used very carefully because they may face over-fitting or under-fitting problems.…”
Section: Introductionmentioning
confidence: 99%