An Improved Correlation Approach to Predict Viscosity of Crude Oil Systems on the NCS

Abstract

An accurate estimation of viscosity values is imperative for an optimal production and transport design of hydrocarbon fluids. Based on this requirement, cost efficient and reliable empirical correlation models are highly profitable. While there are numerous correlation models from literature, a consistent correlation model is still needed, as most models are inadequate to predict an accurate oil viscosity using unbiased data. This study aims to develop new and improved empirical viscosity correlations through available field measurements on the NCS. The performance of the proposed models is then studied through a comparative analysis with published correlations from literature. I would like to express my sincere gratitude to my supervisor at Statoil ASA, Knut Kristian Meisingset, for giving me the opportunity to write my Master's Thesis for Statoil ASA, his support and interest in my work have been instrumental for the quality of this thesis. Special thanks go to Ibnu Hafidz Arief for his guidance to develop the machine learning algorithms. I am exceedingly grateful for his enthusiasm throughout this semester, the feedback and discussions have been greatly appreciated. Lastly, my appreciation goes to my faculty supervisor, Professor Runar Bøe, for his valuable input, and for letting me pursue my thesis in cooperation with Statoil ASA.