CO2驱油-埋存一体化评价方法

CO2驱油-埋存一体化工程项目缺乏能够同时评价CO2的驱油和埋存效果及综合评价项目的方法。为此，本文提出了CO2驱油-埋存一体化评价方法，构建了驱油-埋存综合效应因子，引入粒子群优化（PSO）算法来优化驱油-埋存过程前、中、后期的注入速度、生产流压和阶段时长。研究结果表明:在不考虑生产成本的情况下，注采时间越长，驱油-埋存效果越好。无论是以驱油还是以埋存为主，项目初期均要维持高压低速驱替。若注重埋存效果，项目中期需要降低注入速度，项目的后期则需要重新提高注入速度；若注重驱油效果，项目中、后期需要大幅降低注入速度，同时要酌情降低生产流压，提高产油量。

Integrated evaluation method of CO2 flooding and storage

In a CO2 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 CO2 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 CO2 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 CO2 flooding and storage effect.The production flow pressure should be high and the injection speed should be low in the initial stage.If CO2 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.