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CO_2 water-alternating-gas injection for enhanced oil recovery: Optimal well controls and half-cycle lengths

机译:注入CO_2水交替气以提高采油率:最佳的井控和半周期长度

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CO2water-alternating-gas (WAG) injection is an enhanced oil recovery method designed to improve sweep efficiency during CO2injection with the injected water to control the mobility of CO2and to stabilize the gas front. Optimization of CO2-WAG injection is widely regarded as a viable technique for controlling the CO2and oil miscible process. Poor recovery from CO2-WAG injection can be caused by inappropriately designed WAG parameters. In previous study (Chen and Reynolds, 2016), we proposed an algorithm to optimize the well controls which maximize the life-cycle net-present-value (NPV). However, the effect of injection half-cycle lengths for each injector on oil recovery or NPV has not been well investigated. In this paper, an optimization framework based on augmented Lagrangian method and the newly developed stochastic-simplex-approximate-gradient (StoSAG) algorithm is proposed to explore the possibility of simultaneous optimization of the WAG half-cycle lengths together with the well controls. The proposed framework is demonstrated with three reservoir examples.
机译:注入二氧化碳水替代气体(WAG)是一种增强的采油方法,旨在通过注入的水提高二氧化碳注入过程中的吹扫效率,以控制二氧化碳的流动性并稳定气锋。优化CO2-WAG注入被认为是控制CO2和油混溶过程的可行技术。设计不当的WAG参数可能导致从CO2-WAG注入中回收率不佳。在之前的研究中(Chen and Reynolds,2016),我们提出了一种优化井控的算法,该算法可以最大化生命周期的净现值(NPV)。但是,尚未很好地研究每个喷射器的喷射半周期长度对油回收率或NPV的影响。本文提出了一种基于增强拉格朗日方法和最新开发的随机-简单-近似-梯度(StoSAG)算法的优化框架,以探索同时优化WAG半循环长度和井控的可能性。所提出的框架通过三个储层实例进行了演示。

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