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Estimation of Capilary Pressure Functions From Centrifuge Data

机译:从离心数据估计毛细管压力函数

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The capillary pressure is a fundamental property arising in the theory of multiphase flow in porous media. It is generally assumed that it can be expressed as a function of the saturation of the fluids only. One of the most commonly used methods to determine the capillary pressure experimentally is the centrifuge method. In the centrifuge, the capillary pressure will be responsible for the centripetal forces which will be directly related to the angular velocity. The measured quantities will be the average fluid saturation and the angular velocity. Solving for the capillary pressure, the resulting equation leads to a Volterra integral equation of the first kind. In this work this integral equation is solved by representing the inverse capilary pressure function with B-splines. The coefficients are determined through a linear parameter estimation problem in which constraints, as well as regularization, are incorporated. Two test cases, one synthetic and one experimental, are shown.
机译:毛细管压力是多孔介质中多相流理论中产生的基本性质。通常假设它可以用作流体饱和的函数。确定毛细管压力的最常用方法之一是离心法。在离心机中,毛细管压力将负责与角速度直接相关的向心体。测量的数量将是平均流体饱和度和角速度。求解毛细管压力,所得到的方程导致第一类的Volterra积分方程。在这项工作中,通过表示具有B样条的反向尖锐压力函数来解决这种积分方程。通过线性参数估计问题确定系数,其中包含约束,以及正则化。显示了两个测试用例,一个合成和一种实验。

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