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A Hybrid Optimization Methodology Identifying Optimal Operating Conditions for Carbon Dioxide Injection in Geologic Carbon Sequestration
International Journal of Greenhouse Gas Control ( IF 3.9 ) Pub Date : 2020-05-26 , DOI: 10.1016/j.ijggc.2020.103067
Jize Piao , Weon Shik Han , Peter K. Kang , Baehyun Min , Kue-Young Kim , Gidon Han , Jong Gil Park

Prior to determining the optimal operating parameters for CO2 injection, conditions for both injection wellbore and storage formation should be evaluated; the build-up pressure induced by the CO2 injection could promote fractures in the storage formation, even collapsing the wellbore. In this study, a hybrid optimization methodology, which combined the proxy modeling and multi-objective optimization, was engaged in searching appropriate operating conditions for CO2 injection. The study utilized a fully coupled wellbore-reservoir (WR) model to simulate the CO2 injection scenarios. Three responses, such as pressure, temperature, and CO2 mass flow rate at the bottom-hole of injection wellbore, were investigated. To reduce the computational cost, the statistical proxy models were developed for approximating three responses. The developed fine-tuned proxy models revealed four influential factors; wellhead pressure, injected CO2 temperature, wellbore diameter, and permeability of a storage formation were significant in predicting three responses. Among these four influential factors, permeability was treated to be an uncertainty factor, while the other three factors were treated as tuning factors. According to acquired optimal solution sets, the optimum values for wellhead pressure and injected CO2 temperature were distributed around 10.0 MPa and 35 °C, respectively. For the wellbore diameter, its mean of optimal solutions was 0.1 m, and more solutions were concentrated at this mean value with a decrease in permeability.



中文翻译:

确定地质碳固存中二氧化碳注入最佳操作条件的混合优化方法

在确定CO 2注入的最佳操作参数之前,应评估注入井筒和储层形成的条件;注入CO 2引起的积聚压力会促进储层地层的破裂,甚至使井眼塌陷。在这项研究中,结合了代理模型和多目标优化的混合优化方法被用于寻找合适的CO 2注入操作条件。该研究利用完全耦合的井筒-储层(WR)模型来模拟CO 2注入情景。三种响应,例如压力,温度和CO 2研究了注入井筒底部孔的质量流量。为了减少计算成本,开发了统计代理模型来近似三个响应。完善的代理模型揭示了四个影响因素。井口压力,注入的CO 2温度,井眼直径和储层的渗透率在预测三个响应方面很重要。在这四个影响因素中,渗透率被视为不确定因素,而其他三个因素被视为调整因素。根据获得的最佳解决方案集,井口压力和注入的CO 2的最佳值温度分别分布在10.0 MPa和35°C附近。对于井眼直径,其最佳解的平均值为0.1 m,并且更多的解集中在该平均值下,而渗透率却降低了。

更新日期:2020-05-26
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