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Calculation of Flowing Bottomhole Pressure Constraint Based on Bubblepoint-Pressure-vs.-Depth Relationship

机译:基于泡击 - 压力与深度关系的流动底孔压力约束的计算

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Thick reservoirs usually have variations of PVT properties such as bubble point pressure and dissolved gas oil ratio with depth. A considerable effort usually spent to describe such properties to be used in dynamic models either in Black Oil or compositional simulators. However, during predictions many dynamic models set the BHP constraint as a constant value for all producers in the entire reservoir regardless of perforations depth. Usually this constant value is close to the average bubble point pressure or a little higher to ensure single phase (oil) production and not considering changing of bubble point pressure with depth. The above procedure introduces uncertainty regarding well potential, which involves a risk of not presenting accurate well performance in the simulator and would impact oil production and recovery forecasts. The proposed method was developed to calculate following BHP constraint based on bubble point pressure versus depth relationship for each grid cell in the dynamic model, thus reating 4D-array (I, J, K, BHP constraint) for the entire reservoir. The proposed method is fully automated and tested to assign BHP constrains in schedule section of huge dynamic model (2.6 million cells) with 600+ wells. Two prediction cases were tested (each case run twice, one run with constant BHP constraint for all the produces and the other one using variable BHP constraint recommended by the proposed method) to evaluate the impact of BHP constraint on production and oil recovery forecasts. The results of these two runs showed a considerable difference in length of oil production plateau and oil recovery forecast, but negligible differences in gas oil ratio. The proposed method could be used for any dynamic model with vertical and/or horizontal variation of bubble point pressure to calculate an optimum BHP and thus WHP to maximize production rate without the risk of introducing gas phase at reservoir conditions.
机译:厚的储存器通常具有PVT性能的变化,例如气泡点压力和溶解的瓦斯油比与深度。通常花费的努力来描述在黑色油或组成模拟器中的动态模型中使用的这种性能。然而,在预测期间,许多动态模型将BHP约束设置为整个储层中所有生产者的恒定值,无论穿孔深度如何。通常,这种恒定值接近平均气泡点压力或稍高,以确保单相(油)生产,而不是考虑使用深度改变泡点压力。上述程序介绍了关于井潜力的不确定性,这涉及在模拟器中没有提出准确的井性能的风险,并会影响石油生产和恢复预测。开发了该方法以基于动态模型中的每个网格单元的泡点压力与深度关系来计算BHP约束,从而为整个储存器加固4D阵列(I,J,K,BHP约束)。该方法完全自动化并测试,以分配具有600多个井的巨大动态模型(260万个细胞)的调度部分中的BHP约束。测试了两种预测案例(每种情况运行两次,为所有产生的恒定的BHP约束运行,并且使用所提出的方法建议的可变BHP约束的另一个)来评估BHP限制对生产和储油预测的影响。这两次运行的结果表明石油生产高原和储油预测的长度差异,但瓦斯油比的差异可忽略不计。所提出的方法可用于任何动态模型,其具有垂直和/或水平变化的气泡点压力以计算最佳BHP,因此WHP最大化生产率而不会在储层条件下引入气相的风险。

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