Simulation of large-scale fields with high-level of heterogeneity are commonly modeled using high-resolution grid cell, which can be time-consuming to run the entire reservoir numerical model. One way to deal with these cases is to split the model into sectors and individually simulate them using artificial boundary conditions to represent the fluid flow among the sectors. However, the representation of the boundary condition can be affected by operational or strategic changes, leading to poor-quality forecasts. This work aims to present a methodology to update the pressure in the boundary of sector models using virtual wells. The methodology consists of balancing the pressure of adjacent sector models over the simulation run. The update procedure is carried out observing boundary block pressure and applying an estimation of the flow rate between sectors and using a pair of virtual wells (producer/injector) to perform it. The methodology was tested in the Brugge Field Benchmark Case, which is a complex case that presents high-interaction activity among the wells. A tree of tests was created to study the parameters of the method, as a different number of times to update the boundary pressure and a different number of pairs of virtual wells. Furthermore, two different ways to split up the reservoir model were also tested: using streamlines and not considering any dynamic flow information, to evaluate the importance of using a technique to select the sectors. The quality of the results was quantified using the indicator called normalized quadratic deviation with sign, comparing the sector simulation and the entire reservoir model simulation. The results show that the methodology was able to improve the quality of the response to all cases. The case splitting the reservoir using streamlines achieved better results, although the improvement of the response was lower than found for the random split. The number of times to update the model was the parameter with a more significant impact on the quality of the results. A higher number of update times tended to achieve better outcomes. The number of virtual wells was the parameter that caused a lower impact on the results, and significant gains in increasing the number of virtual wells were not observed. Therefore, just a few numbers of virtual wells can balance the boundary pressure. To conclude, the proposed methodology can improve the quality of the results for a sector simulation model. The results also show an improvement when the methodology is combined with a splitting procedure of the reservoir using streamlines. The number of times to update the model can significantly affect the results, but the number of virtual wells had a lower impact.

通常使用高分辨率网格单元对具有高非均质性的大规模油田进行模拟，这对于运行整个油藏数值模型可能是耗时的。处理这些情况的一种方法是将模型分为多个扇区，并使用人工边界条件分别模拟它们，以表示扇区之间的流体流动。但是，边界条件的表示可能会受到运营或战略变化的影响，从而导致预测质量下降。这项工作旨在提出一种使用虚拟井更新部门模型边界压力的方法。该方法包括在仿真过程中平衡相邻扇区模型的压力。更新过程是通过观察边界块压力并应用扇区之间的流量估算值并使用一对虚拟井（生产者/注入者）来执行的。该方法已在Brugge Field Benchmark案例中进行了测试，这是一个复杂的案例，在孔之间呈现出高交互作用。创建了一个测试树来研究该方法的参数，以不同的次数更新边界压力和使用不同数量的虚拟井对。此外，还测试了两种不同的划分储层模型的方法：使用流线而不考虑任何动态流量信息，以评估使用技术选择区块的重要性。使用称为“带符号的二次方归一化”的指标对结果的质量进行了量化，比较扇区模拟和整个油藏模型模拟。结果表明，该方法能够提高对所有案例的响应质量。使用流线分割储层的案例获得了更好的结果，尽管响应的改善低于随机分割的发现。更新模型的次数是参数，对结果质量的影响更大。更新次数越多，趋向于获得更好的结果。虚拟孔的数量是对结果造成较小影响的参数，并且未观察到增加虚拟孔数量的显着收益。因此，只有几个虚拟井可以平衡边界压力。最后，所提出的方法可以提高部门仿真模型的结果质量。当该方法与使用流线的储层拆分程序相结合时，结果也显示出一种改进。更新模型的次数可以显着影响结果，但是虚拟孔的数量影响较小。