Accurately simulating, upscaling, and optimizing the warm solvent injection process (WSI) is challenging due to its complex heat and mass transfer mechanisms. This manuscript presents a comprehensive two-step flow-based upscaling workflow designed explicitly for WSI simulation in heterogeneous reservoirs. The technique builds upon previous research on particle transport in single-phase flow and extends the upscaling method to incorporate multiple correlated properties relevant to the process physics. Specifically, the upscaling methodology considers the correlation between longitudinal and transverse dispersivities. The influence of scale variation on thermal conductivity is examined. The proposed statistical upscaling technique does not rely on explicit assumptions about the distribution of heterogeneity. The results highlight the directionality in dispersivity. Due to the limited temperature variation observed in the case study, upscaling thermal conductivity has little impact. The method's efficiency can be verified by coarser model simulations that capture similar fine-scale model responses with less computational run time.

由于其复杂的传热和传质机制，准确模拟、放大和优化温溶剂注入过程 (WSI) 具有挑战性。本手稿介绍了一个全面的基于流的两步升级工作流程，专门为非均质油藏中的 WSI 模拟而设计。该技术建立在先前对单相流中粒子传输的研究之上，并扩展了放大方法以合并与过程物理相关的多个相关属性。具体来说，升级方法考虑了纵向和横向分散性之间的相关性。研究了尺度变化对热导率的影响。拟议的统计升级技术不依赖于关于异质性分布的明确假设。结果突出了分散性的方向性。由于在案例研究中观察到的温度变化有限，因此提高热导率几乎没有影响。该方法的效率可以通过更粗略的模型模拟来验证，这些模型模拟以更少的计算运行时间捕获类似的精细模型响应。