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Scale Up of Multi-Phase Flow Properties from Micro to Core Scale

机译:从微小到核心尺度的多相流性质缩放

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Multiphase relative permeability is a key parameter in reservoir simulation.Typically,end-point basedcorrelations are employed in order to obtain such curves for reservoir simulation purposes.However,thosecorrelations are not capable of capturing micro-scale physical phenomenon which can significantly affectflow pattern at larger scales.Consequently,it is necessary to obtain a scale-up methodology in order totransfer the micro-scale physics to reservoir-scale.The objective of this research is developing a scale upprocedure which can be applied to multi-phase flow properties obtained by micro-scale flow simulation tocompute the equivalent macro-scale and core-scale flow properties having the micro-scale flow properties.Two different sets of media are employed:media representing unconsolidated oil sands and media based onexperimental data obtained from the Mesaverde formation located in the Poweder River Basin.The formeris used for validating the scale up methodology since not all the required information is available in theexperimental data set.Pore scale network modelling is used for calculating micro-scale multi-phase flowproperties such as porosity,and absolute and relative permeability.Then the generated subsegments arepopulated in space to reconstruct the macro scale medium.Flow properties of such medium are then obtainedby network modelling and the proposed scale-up methodology and the results are compared.Furthermore,macro-scale media are distributed in space in layers and stacks of increasing and decreasing permeability toform a core-level medium.Single and multi-phase flow properties are then calculated by applying a pressuredrop across the core.Permeability and relative permeability curves are calculated using the combinationof mass balance,equation of state,and Darcy equation assuming steady-state flow while capillary pressurecurve is obtained using the modified Leverett-J function procedure used in micro-to-macro scale up section.Results show good agreement between the expected and calculated properties for both unconsolidated andconsolidated media.Finally,physical behavior observed at micro and macro scale is transferred to the corescale.
机译:多相相对渗透性是储库仿真中的关键参数。使用终点,采用终点,以便获得储层模拟的这种曲线。然而,题单不能够捕获微尺度的物理现象,这可以显着影响较大的流动模式秤,有必要获得尺度的方法,以便将微尺度物理学的缩放方法进行储存量。该研究的目的正在开发一种规模上升,可以应用于通过微型获得的多相流动性质。 -scale流仿真才能使具有微尺度流动性能的等效宏观和核心尺度流动性能。采用不同的介质组:代表未掩盖的油砂和从位于Mesaverde形成中获得的媒体基于媒体的卵经理数据Poweder River盆地。前者用于验证规模的方法,因为不是所有的重新所需信息可用于实验数据集.PeRe级别网络建模用于计算诸如孔隙度的微级多相流动性,以及绝对和相对渗透性。该生成的副在空间中以重建宏观级介质.Flow属性然后获得该介质,网络建模和所提出的缩放方法和结果进行了比较。宏观介质,宏观级介质在层间的空间中分布,磁体水平介质的渗透率增加和减少的叠层。核心级介质。铰接和多重然后通过跨越核心的压力来计算相流性质。使用质量平衡,状态的方程和达西方程来计算透过率和相对渗透率曲线,假设稳态流动,而使用改进的杠杆 - J函数过程用于微距宏缩放部分。结果显示出良好的达成协议对于未核化和巩固介质的预期和计算性质之间的NT。最后,在微观和宏观尺度观察到的物理行为被转移到圆锥体内。

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