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Fuel
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Full Length Article
Application of Peng-Robinson equation of state for modelling the multiphase
equilibrium properties in Athabasca bitumen/ethane mixtures
Ting Sun
a
, Ali Takbiri-Borujeni
b,
⁎
, Hossein Nourozieh
c
, Ming Gu
b
a
China University of Petroleum, Beijing, China
b
West Virginia University, United States
c
Computer Modelling Group Ltd, Canada
ARTICLE INFO
Keywords:
Phase behavior
Bitumen
Peng-Robinson equation of state
Solvent
ABSTRACT
Phase behavior of (bitumen + solvent) mixtures and their properties are essential for surface upgrading methods
and enhanced oil recovery applications. The objective for this work is to systematically model the phase par-
titioning and component distribution in the (bitumen + solvent) mixtures. To perform equation of state mod-
elling, compositional analysis of bitumen is utilized to characterize the bitumen sample and its components up to
C
100
. The full range of components is utilized in Peng-Robinson equation of state (PR-EOS) to predict the
equilibrium phase properties, such as composition and density, in vapor-liquid and liquid-liquid regions. Based
on the results, PR-EOS accurately captures the composition of phases, component distribution in each phase, and
phase densities. Thereafter, an algorithm is proposed to lump the components on the basis of two-phase envelope
generation. The results indicate that Athabasca bitumen and its phase behavior in (bitumen + solvent) mixtures
can be well represented in multi-phase regions by four pseudo-components.
1. Introduction
Determining phase behavior and estimating the thermodynamic
properties for complex fluid systems or ill-defined fluids, such as (bi-
tumen + solvent) mixtures, present significant challenges. Despite the
importance of phase behavior data for production, pipeline transpor-
tation, upgrading, and refining of such fluids, limited experimental data
for bitumen-containing mixtures have been reported in the literature.
This is due to the fact that experimental measurements for these sys-
tems are usually expensive and time-consuming. This issue is even more
pronounced when multiple phases form at equilibrium conditions.
Modelling is a credible alternative for studying the phase behavior and
the interaction of (bitumen + solvent) systems.
The thermodynamic modelling of (bitumen + solvent) systems is
limited compared to simple hydrocarbon systems and conventional oil.
This might be due to complex nature and lack of a known character-
ization method for heavy oil and bitumen. Although different char-
acterization schemes, as stated by Kumar and Okuno [1], have been
proposed for different reservoir fluids [2–6]; for example, gas con-
densates [7–10], volatile oils [11,12], near-critical fluids [13–16], the
methods for heavy oil and bitumen characterizations are limited
[1,17–18]. This led to variety of models in literature for pseudo-com-
ponent determination in the phase behavior study of
(bitumen + solvent) mixtures.
Mehrotra et al. [19] utilized Bishnoi et al. [20] characterization
method to develop five pseudo-component in order to study the phase
behavior and solubility of carbon dioxide and ethane in Athabasca and
Peace River bitumens using Peng-Robinson equation of state (PR-EOS).
The critical properties calculated from Kesler and Lee [21] correlation
provided a good agreement with the experimental solubility data. Fu
and Puttagunta [22] and Fu et al. [23] considered a pseudo-component
in the vapour-liquid equilibrium calculations of (bitumen + solvent)
systems for the sake of simplicity. They developed a temperature-de-
pendent correlation for binary interaction parameters to represent the
vapour-liquid data. Mehrotra and Svrcek [24,25] and Mehrotra et al.
[26] utilized PR-EOS along with Kesler and Lee [21] correlation for
calculating critical properties to estimate the nitrogen, carbon mon-
oxide, methane, carbon dioxide, and ethane solubility in Athabasca,
Cold Lake, and Wabasca bitumen at the temperatures up to 110 °C and
at the pressures up to 10 MPa. The bitumen was characterized using
three pseudo-components which represent distillable maltene, un-
distillable maltene, and asphaltene that could adequately match the
experimental data. Frauenfeld et al. [27] estimated the methane,
ethane, propane, and carbon dioxide solubility in Lloydminster Aber-
feldy oil and a blended Cold Lake/Lloydminster oil using PR-EOS. The
binary interaction parameters were adjusted to tune the model.
https://doi.org/10.1016/j.fuel.2019.04.106
Received 28 February 2019; Received in revised form 11 April 2019; Accepted 16 April 2019
⁎
Corresponding author.
E-mail address: Altakbiri@mail.wvu.edu (A. Takbiri-Borujeni).
Fuel 252 (2019) 439–447
0016-2361/ © 2019 Elsevier Ltd. All rights reserved.
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