Phase Behavior, Solid Organic Precipitation, and Mobility Characterization Studies in Support of Enhanced Heavy Oil Recovery on the Alaska North Slope

• Main Authors: Shirish Patil, Abhijit Dandekar, Santanu Khataniar
• Language: unknown
• Published: 2014
• Subjects: 02 PETROLEUM; DECISION MAKING; DISTILLATION; EQUATIONS OF STATE; GAS INJECTION; MODIFICATIONS; OIL FIELDS; PERFORMANCE; PETROLEUM; PHYSICAL PROPERTIES; PRECIPITATION; PRODUCTION; RESERVOIR FLUIDS; SIMULATION; VISCOSITY; ALASKAN NORTH SLOPE; Alaska North Slope; north slope; Alaska
• Online Access: http://www.osti.gov/servlets/purl/963365; https://www.osti.gov/biblio/963365; https://doi.org/10.2172/963365

The medium-heavy oil (viscous oil) resources in the Alaska North Slope are estimated at 20 to 25 billion barrels. These oils are viscous, flow sluggishly in the formations, and are difficult to recover. Recovery of this viscous oil requires carefully designed enhanced oil recovery processes. Success of these recovery processes is critically dependent on accurate knowledge of the phase behavior and fluid properties, especially viscosity, of these oils under variety of pressure and temperature conditions. This project focused on predicting phase behavior and viscosity of viscous oils using equations of state and semi-empirical correlations. An experimental study was conducted to quantify the phase behavior and physical properties of viscous oils from the Alaska North Slope oil field. The oil samples were compositionally characterized by the simulated distillation technique. Constant composition expansion and differential liberation tests were conducted on viscous oil samples. Experiment results for phase behavior and reservoir fluid properties were used to tune the Peng-Robinson equation of state and predict the phase behavior accurately. A comprehensive literature search was carried out to compile available compositional viscosity models and their modifications, for application to heavy or viscous oils. With the help of meticulously amassed new medium-heavy oil viscosity data from experiments, a comparative study was conducted to evaluate the potential of various models. The widely used corresponding state viscosity model predictions deteriorate when applied to heavy oil systems. Hence, a semi-empirical approach (the Lindeloff model) was adopted for modeling the viscosity behavior. Based on the analysis, appropriate adjustments have been suggested: the major one is the division of the pressure-viscosity profile into three distinct regions. New modifications have improved the overall fit, including the saturated viscosities at low pressures. However, with the limited amount of geographically diverse data, it is ...