2018年6月至2019年5月，UAF利用Hilcorp Alaska提供的数据建立了储层模拟模型。然后分别进行了水驱和聚合物驱的生产历史拟合。在历史拟合过程中，对渗透率非均质性和相对渗透率进行调整，以获得最佳的储层模拟模型。最后，利用更新的储层模拟模型，分别预测了水驱和聚合物驱的开发效果，并对其结果进行了比较。
CMOST是CMG自动历史拟合、优化及不确定性分析的一个模块，用于在高级算法的帮助下进行历史拟合。模型中使用注水量和采油量作为井约束条件，拟合生产井的含水率和采气量。修改渗透率和相对渗透率曲线以拟合注水生产历史。首先，在饼状模型中调整每个层的渗透率；其次，在非均质模型中调整相对渗透率曲线，最后，用估计的相对渗透率曲线来调整渗透率分布。
From June 2018 to May 2019, UAF built the reservoir simulation model using data provided by Hilcorp Alaska. Then the history matching of waterflooding and polymer flooding was conducted, respectively. During the history matching process, the permeability heterogeneity and relative permeability were primarily tuned to obtain the optimal reservoir simulation model. Finally, the production performance of waterflooding and polymer flooding was forecasted, respectively, using the updated reservoir simulation model, and their results were compared.
CMOST, a module of the CMG simulator, is used to conduct the history matching with the assistance of advanced algorithms. Since water injection rate and oil production rate are used as well constraints in the reservoir simulation model, only water cut and gas production rate of two production wells need to be matched in the history matching process. The permeability and the relative permeability curves are modified step by step to match the waterflooding production history. First, the homogeneous permeability in each layer is tuned in a layer cake model. Second, the relative permeability curves are tuned in a heterogeneous model. Finally, the permeability distribution in a strip manner is tuned with the estimated relative permeability curves.
