原油管道顺序输送掺混优化研究
Optimization of Blending and Batch Transportation Process of Crude Oil Pipeline

目的意义：本研究针对原油管道顺序输送中的掺混优化问题展开研究，旨在降低管道运行的能耗费用和碳排放量，促进实现碳达峰和碳中和目标。方法过程：通过建立原油管道顺序输送掺混优化模型，综合考虑管道黏度准入性、输油泵性能及炼厂接受要求，计算混合原油的凝点和黏度，并利用线性模型计算其他物性。优化模型以各批次加权黏度值最低为目标，通过遗传算法优化求解多品种原油掺混成多批次混合原油的掺混比例，提升泵效能，降低能耗。结果现象：实例应用结果表明模型对不同场景和约束条件具有较强的适应性，可以有效求解复杂的掺混优化问题，降低输送能耗费用。结论建议：研究结果表明，通过合理的掺混，可以显著提升管道运行效率，降低能耗和碳排放，为原油管道安全、经济、高效运行提供了有力支持。
This study focuses on the optimization of blending in sequential transportation of crude oil pipelines, aiming to reduce the energy consumption costs and carbon emissions of pipeline operations, thus promoting the achievement of carbon peak and carbon neutrality goals. By establishing an optimization model for blending in sequential transportation of crude oil pipelines, the study comprehensively considers the viscosity admissibility of the pipeline, the performance of the oil pump, and the refinery acceptance requirements. It calculates the pour point and viscosity of the blended crude oil and uses a linear model to compute other physical properties. The optimization model targets the minimum weighted viscosity value for each batch, employing a genetic algorithm to optimize the blending ratios of multiple types of crude oil into multiple batches of blended crude oil, thereby enhancing pump efficiency and reducing energy consumption. The application of the model in real-world scenarios demonstrates its strong adaptability to different conditions and constraints, effectively solving complex blending optimization problems and reducing transportation energy costs. The results indicate that reasonable blending can significantly improve pipeline operation efficiency, reduce energy consumption and carbon emissions, and provide strong support for the safe, economical, and efficient operation of crude oil pipelines.