Viscosity Modeling of Heavy Crude Oil Using the Friction Theory Combined with PC-SAFT

Small changes in temperature or pressure can lead to crude oil phase separation and multiple orders of magnitude change viscosity. The one-parameter friction theory framework using the SARA-based method with perturbed-chain statistical association fluid (PC-SAFT) EoS has proven have high accuracy viscosity predictions light oil. However, it failed for heavy In this work, above model is modified two aspects enhance prediction: include effect asphaltene polydispersity parameter. average absolute relative deviation four studied oils reduced by 16.81, 24.26, 97.31, 87.75% compared f-theory PC-SAFT model. parameter Kc as a function fitted at normal pressure. Following simplicity expansion method, recommended use methodology when dealing such those more than 20,000 cP 25 °C.