The rising importance of carbon capture, utilization and storage industry due to global warming has increased the development of new technologies. Centrifugal compressor train is an essential system required for the storage of s-CO₂ into oil wells, a process known as Enhanced Oil Recovery (EOR), in which the pressurized fluid works above the critical point and close to widom-line. The optimization methodology proposed in the present work is based on One-dimensional (1D) centrifugal compressor model, capable to predict the fluid flow aspects that are not modeled through traditional and direct thermodynamic analysis. Furthermore, a Gas-like Behavior Margin (GBM) is presented to avoid high variations of thermodynamic properties on the compression process close to widom-line, avoiding transcritical phenomena that can cause damage to the equipment. A centrifugal compressor train has been proposed and an optimal configuration with four stages reduced the total power consumed by 14.09% when compared to the baseline configuration, ensuring that the fluid flow constraints as the Acceleration Margin to Condensation and Mach number at the throat is met. Moreover, a 3D CFD model for the fourth stage was built which demonstrated good agreement with 1D model and experimental data, proving the validity and clear advantages of using the methodology developed herein, as a fast and low-cost way to obtain a preliminary geometry for centrifugal compressors of train systems.

由于全球变暖，碳捕获、利用和储存行业的重要性不断上升，这促进了新技术的发展。_{离心式压缩机组是将 s-CO 2}储存到油井中所需的基本系统，该过程称为提高石油采收率 (EOR)，其中加压流体在临界点以上工作并接近 Widom 线。本工作中提出的优化方法基于一维 (1D) 离心式压缩机模型，能够预测未通过传统和直接热力学分析建模的流体流动方面. 此外，还提出了类气体行为裕度 (GBM)，以避免压缩过程中热力学性质在接近 Widom 线时发生高变化，从而避免可能导致设备损坏的跨临界现象。提出了一种离心式压缩机组，与基准配置相比，四级优化配置将总功耗降低了 14.09%，确保满足流体流动限制，如冷凝加速余量和喉部马赫数。此外，一个 3D建立了第四阶段的 CFD 模型，该模型与一维模型和实验数据非常吻合，证明了使用此处开发的方法的有效性和明显的优势，作为获得列车离心压缩机初步几何形状的快速且低成本的方法系统。