Summary
Acid gases containing hydrogen sulfide (H2S) are often
encountered in the petroleum industry. However, reliable experiments on their
thermophysical properties in reservoir conditions, on viscosity in particular,
are scarce. From a modeling point of view, H2S and carbon dioxide
(CO2) are polar compounds and as such are often considered rather
difficult to model accurately.
In this work, we propose a correlation with a strong physical background
based on a corresponding-states (CS) approach to predict the viscosity from the
temperature and the density of a large variety of systems for all stable
thermodynamic states (gas, liquid, and supercritical). In particular, this
correlation is applicable to predict the viscosity of sour/acid-gas mixtures,
whatever the thermodynamic conditions. This approach is based on the
Lennard-Jones (LJ) fluid model, which has been studied extensively thanks to
molecular-dynamics (MD) simulations over a wide range of thermodynamic
conditions. This fluid model can be extended to deal with polar molecules such
as CO2 or H2S without a loss of accuracy.
First, we demonstrate that the proposed physically based correlation is able
to provide an excellent estimation of the viscosity [with average absolute
deviations (AADs) below 5%] of pure compounds, including normal-alkanes,
CO2, or even H2S, whatever the thermodynamic conditions
(gas, liquid, or supercritical).
Then, using a one-fluid approximation and a set of combining rules, the
correlation is applied to various fluid mixtures in a fully predictive way
(i.e., without any additional fitted parameters). Using this scheme, the
deviations between predictions and measurements are as low as those on pure
fluids using temperature and density as inputs. The viscosity of natural- and
acid-gas mixtures at reservoir conditions is shown to be very well predicted by
the proposed scheme. In addition, it is shown that this correlation can also be
applied to predict reasonably the viscosity of asymmetric high-pressure
mixtures, even in the liquid phase.
This physically based approach is easy to include in any simulation software
as long as, apart from temperature and density, the only inputs--the molecular
parameters of each species--can be estimated from the critical temperature and
the critical volume when not known.
© 2010. Society of Petroleum Engineers
View full textPDF
(
291 KB
)
History
- Original manuscript received:
28 February 2009
- Meeting paper published:
9 June 2009
- Revised manuscript received:
18 September 2009
- Manuscript approved:
30 October 2009
- Published online:
7 April 2010
- Version of record:
22 September 2010