|dc.description.abstract||The knowledge of reservoir fluids physical properties is crucial in upstream and
downstream processes of petroleum industry. Viscosity and interfacial tension are among
the most influential parameters on fluid behaviour. These properties have considerable
effects on fluid flow characteristics and consequently in many oil and gas production and
processing aspects from porous media to surface facilities. Hence, accurate estimation of
the mentioned fluid properties plays a significant role in reservoir development.
However, experimental data are scarce at high pressure and high temperature (HPHT)
conditions. The work presented in this thesis is an integrated experimental and modelling
investigation of viscosity and interfacial tension of petroleum reservoir fluids over a wide
range of pressure and temperature conditions.
Several series of experimental data on the viscosity of reservoir fluids were generated at
high pressure and high temperature conditions (up to 20,000 psia and 200 °C).
Experiments were conducted on three binary hydrocarbon systems and three synthetic
and real multi-component mixtures, in addition to investigating the effect of dissolved
water on the viscosity of the above fluids. Besides, the influence of oil-based mud filtrate
on the viscosity of various dead oil samples also was studied as part of this thesis. The
effect of different salt concentrations on the interfacial tension of gas-brine systems over
a wide range of pressure and temperature conditions also was studied experimentally.
The experimental data generated were employed to evaluate, improve and propose
predictive models to estimate the mentioned physical properties. A new approach to
retrieve the viscosity of original fluid (clean dead oil) from contaminated sample was
introduced. Also a novel technique for predicting the gas-water (brine) interfacial tension
was outlined. The proposed techniques and models were evaluated against independent
experimental data generated in this work and the data gathered from open sources.
Predictions of the developed methods were in good agreement with the experimental data.||en_US