CO2井网驱油封存联合优化设计与敏感性分析

Joint optimization design and sensitivity analysis of CO_2 well pattern EOR and storage

伴随碳捕集、利用与封存(CCUS)技术的应用,CO_2驱油作为其中重要一环在提高采收率、增加CO_2封存量方面发挥着重要作用。井网的合理布置能够改善驱油效果,是实现增油、减碳目标的关键。应用改进的粒子群算法对非均质油藏环境下CO_2驱井网进行驱油封存联合优化设计,实现非常规布井,使其相对于传统模式在得到较大累产油量的同时获得较小的气油比,并对影响参数进行敏感性分析,结果表明较大的渗透率有利于原油开采与CO_2封存,气油比大小受井距制约。数值模拟结果证明了本文方法的有效性。

Accompanied by the gradual popularization and application of carbon capture, utilization and storage （CCUS） technology, CO2-EOR technique as an important part of the implementation of CCUS technology plays a significant role in reducing carbon emissions and increasing oil recovery. The rational layout of the well pattern is particularly important. In this paper, we will use the improved particle swarm optimization （ PSO ） algorithm to optimize the well pattern design jointly for hetergenous reservoir and get untraditional layout of well pattern. In this way, we can get the larger cumulative oil production and the smaller gas-oil ratio compared with the traditional methods. In addition, we carry out some sensitivity analysis and get the conclusions that higher permeability is apt to oil recovery and CO,storage, the gas-oil ratio is affected by well distance. The results of numerical simulation show that this method can obtain better optimization effect.