Summary
Heavy-oil fluids contain large concentrations of high-molecular-weight
components, including a large content of the plus fractions, such as
C7+.
Different approaches have been developed to characterize the petroleum plus
fractions to improve prediction of the pseudocomponents properties by equations
of state (EOSs).
A method is developed in this work to split the plus fraction into single
carbon numbers (SCN), generating the mole fraction and the respective molecular
weight. The developed method is based on the relationships between
three-parameter gamma (TPG) distribution, experimental mole fraction, molecular
weight, and SCN data obtained from the literature and industrial contacts. TPG
is used to fit the trend of the compositional analysis. The characterized mole
distribution as a function of SCNs is generated by integrating the TPG between
the limiting molecular weights (LMw). The limiting molecular
weights are determined simultaneously during the integration process by fitting
the characterized and experimental mole fractions.
The developed method is easy to use. In addition, the approach is not
dependent on the assumption that only normal carbon numbers exist in the
composition resulting on fixed molecular weights for each single carbon
number.
There are several correlations generated to predict physicochemical
properties as a function of SCNs. Those correlations have been originally
developed to work with light oil. Our approach is combined with some of the
correlations and is tested for heavy-oil samples to identify the ranges in
which they can be applied. Two lumping schemes are used to group the SCNs into
pseudocomponents. The properties for each pseudo-component in this work are
used to predict pressure/volume/temperature (PVT) data, constant volume
depletion, using the Peng-Robinson EOS (PR-EOS), and the PVTP™ commercial
simulator.
© 2010. Society of Petroleum Engineers
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History
- Original manuscript received:
12 August 2008
- Meeting paper published:
20 October 2008
- Revised manuscript received:
1 February 2009
- Manuscript approved:
18 February 2009
- Published online:
11 March 2010
- Version of record:
20 April 2010