One of the most sophisticated and significant stages of basin modelling is simulation of hydrocarbon (HC) migration. At this stage, the attempt is made to estimate the probability of HCs existence in the region of interest. This can be done by utilizing readily available numerical reservoir simulation tools. Such tools are typically based on the Darcy flow model and are more frequently used for less time-consuming procedures. For instance, identification of the structural features of the formation and estimation of the production profiles. Despite all the advantages of this approach, there are some significant drawbacks including the extended computational time required to simulate the hydrodynamic process of HC migration. This issue cannot always be resolved by increasing computational power due to technological limitations. Thus, the authors suggest a method of the numerical scheme by splitting it along the coordinates (further called the NSS-method), allowing for a significant reduction in the computational time when modelling HC migration. Explicit and implicit numerical models are implemented and scrutinized for the purpose of this research. The validity of these models is verified by their comparison with the available analytical solutions and by analysing the stability of these numerical schemes. As a result, the influence of the NSS-method on the accuracy of the calculation was insignificant, allowing a decrease in the computational time by several hundred times.

盆地建模最复杂和最重要的阶段之一是模拟碳氢化合物 (HC) 运移。在这个阶段，尝试估计感兴趣区域中 HC 存在的概率。这可以通过利用现成的数值油藏模拟工具来完成。此类工具通常基于达西流模型，并且更常用于耗时较少的程序。例如，识别形成和估计生产剖面的结构特征。尽管这种方法具有所有优点，但也存在一些明显的缺点，包括模拟 HC 迁移的流体动力学过程所需的计算时间延长。由于技术限制，这个问题不能总是通过增加计算能力来解决。因此，作者提出了一种通过沿坐标分割数值方案的方法（进一步称为 NSS 方法），从而在模拟 HC 迁移时显着减少计算时间。为了本研究的目的，实施和审查了显式和隐式数值模型。这些模型的有效性通过与可用解析解的比较和分析这些数值方案的稳定性得到验证。因此，NSS 方法对计算精度的影响是微不足道的，可以将计算时间减少数百倍。为了本研究的目的，实施和审查了显式和隐式数值模型。这些模型的有效性通过与可用解析解的比较和分析这些数值方案的稳定性得到验证。因此，NSS 方法对计算精度的影响是微不足道的，可以将计算时间减少数百倍。为了本研究的目的，实施和审查了显式和隐式数值模型。这些模型的有效性通过与可用解析解的比较和分析这些数值方案的稳定性得到验证。因此，NSS 方法对计算精度的影响是微不足道的，可以将计算时间减少数百倍。