A method, system and device for predicting crude oil viscosity

Abstract

The application discloses a crude oil viscosity prediction method, system and device, relates to the technical field of crude oil viscosity prediction, and comprises the following steps: acquiring a nuclear magnetic resonance T2 spectrum of a target crude oil sample, and calculating a logarithmic average value of the T2 spectrum based on the T2 spectrum; constructing a base oil phase viscosity model for representing a base oil phase viscosity without wax or when the influence of wax is ignored based on the logarithmic average value of the T2 spectrum and an absolute temperature; constructing a wax phase viscosity model independent of the base oil phase viscosity model; determining a corresponding wax solubility factor according to a target temperature; in a viscosity logarithmic space, using a known wax mass fraction as a weight, performing weighted average fusion on the base oil phase viscosity model and the wax phase viscosity model that are corrected by the wax solubility factor, and obtaining a final total viscosity prediction value; and the method introduces a wax content correction mechanism on the basis of nuclear magnetic resonance T2 spectrum analysis, so that the actual viscosity characteristics of crude oil under formation conditions can be more accurately reflected.

Images