In a CO_2 flooding and storage project

there's lack of method which can evaluate the oil flooding effect and storage effect simultaneously. Therefore

an integrated evaluation method of CO_2 flooding and storage is proposed in this paper

in which the comprehensive effect factor is constructed

and the particle swarm optimization is introduced to optimize the injection rate

production flow pressure and stage length of a CO_2 flooding and storage project. The research results show that

without considering the production cost

the longer the injection and the production time

the better the CO_2 flooding and storage effect. The production flow pressure should be high and the injection speed should be low in the initial stage. If CO_2 storage is the priority

the injection rate needs to be reduced in the middle and increased again in the later stage of the project. If the oil flooding is the main point

the injection rate needs to be greatly reduced in the middle and late stages of the project

and the production flow pressure should be reduced as appropriate to improve oil production.