508771 Viscosity Modeling of Live Oil and Viscosity Prediction of Gas Injection Blends

Jieyi Zhang1, Mohammed I.L. Abutaqiya1 and Francisco Vargas2, (1)Rice University, Houston, TX, (2)Chemical and Biomolecular Engineering, Rice University, Houston, TX

Viscosity reduction is a key benefit of gas injection for enhanced oil recovery. This study aimed to predict the viscosity of the reservoir fluid and injected gas blends based on Peng Robinson equation of state and friction theory. Carbon dioxide gas injection, lean gas injection and rich gas injection results are reported in this work. This study found that SARA based characterization method gave more accurate modeling results compared to that from Chi-Square distribution characterization method for live oil modeling. The capability to accurately predict viscosity of the gas injection blends was also demonstrated.

Extended Abstract: File Not Uploaded
See more of this Session: Meet The Industry Poster Reception
See more of this Group/Topical: Southwest Process Technology Conference