The present application relates to the technical field of
heavy oil reservoir development, in particular to a
screening method of
viscosity reducer for
carbon dioxide flooding, which comprises calculating the
viscosity reduction rates of a plurality of
viscosity reducers for heavy oil at different test temperatures, and then obtaining a plurality of viscosity
reduction rate arrays of the viscosity reducers at different temperatures; based on the viscosity
reduction rate arrays, based on the normalized values of the average viscosity
reduction rate and
oil displacement efficiency corresponding to each viscosity
reducer, average normalization, standard deviation,
coefficient of variation, weighted factor, the comprehensive evaluation index corresponding to each viscosity
reducer is calculated, and the optimal viscosity reducer is screened based on the comprehensive evaluation index; the present application comprehensively evaluates the static viscosity reduction performance and dynamic
oil displacement performance of the heavy
oil viscosity reducer through the heavy
oil viscosity reduction effect evaluation experiment and the physical
simulation oil displacement experiment, thereby guiding the optimization of the viscosity reducer for
carbon dioxide flooding, and realizing the
maximum amplitude improvement of
heavy oil reservoir recovery efficiency and the best economic benefit obtained by the
carbon dioxide and viscosity reducer compound flooding.