Abstract: A well pattern optimization method based on CO2 incomplete miscible displacement characteristics is provided, including: obtaining fluid component data of formation crude oil, and establishing a fluid component model based on the fluid component data; establishing a three-dimensional reservoir model based on the fluid component model, and setting reservoir parameters for the three-dimensional reservoir model; performing simulation operation on the three-dimensional reservoir model with set reservoir parameters under different CO2 flooding well pattern modes, and obtaining simulation operation results; and performing analysis of fronts and production parameter comparison on the simulation operation results, and obtaining an optimal CO2 flooding well pattern mode.

Abstract: A minimum miscible pressure prediction method for a CO2-crude oil system considering reservoir well spacing is provided, including: obtaining characteristic parameters of each component of crude oil; based on the characteristic parameters of each component of the crude oil, obtaining corresponding bubble point or dew point pressures, as well as corresponding oil-gas interfacial tension, oil phase and gas phase densities, and viscosities under different injected gas contents; based on the corresponding bubble point or dew point pressures, as well as the corresponding oil-gas interfacial tension, oil phase and gas phase densities, and viscosities under different injected gas contents, constructing a minimum miscible pressure prediction model for the CO2-crude oil system considering the reservoir well spacing; and based on the minimum miscible pressure prediction model for the CO2-crude oil system considering the reservoir well spacing, obtaining minimum miscible pressure values for the CO2-crude oil system unde

Abstract: A minimum miscible pressure prediction method for a CO2-crude oil system considering reservoir well spacing is provided, including: obtaining characteristic parameters of each component of crude oil; based on the characteristic parameters of each component of the crude oil, obtaining corresponding bubble point or dew point pressures, as well as corresponding oil-gas interfacial tension, oil phase and gas phase densities, and viscosities under different injected gas contents; based on the corresponding bubble point or dew point pressures, as well as the corresponding oil-gas interfacial tension, oil phase and gas phase densities, and viscosities under different injected gas contents, constructing a minimum miscible pressure prediction model for the CO2-crude oil system considering the reservoir well spacing; and based on the minimum miscible pressure prediction model for the CO2-crude oil system considering the reservoir well spacing, obtaining minimum miscible pressure values for the CO2-crude oil system unde

Abstract: A well pattem optimization method based on CO2 incomplete miscible displacement characteristics is provided, including: obtaining fluid component data of formation crude oil, and establishing a fluid component model based on the fluid component data; establishing a three-dimensional reservoir model based on the fluid component model, and setting reservoir parameters for the three-dimensional reservoir model; performing simulation operation on the three-dimensional reservoir model with set reservoir parameters under different CO2 flooding well pattern modes, and obtaining simulation operation results; and performing analysis of fronts and production parameter comparison on the simulation operation results, and obtaining an optimal CO2 flooding well pattern mode.