碳酸盐岩油藏酸化完井的油水两相压降试井解释模型及应用

An Interpretation Model and Its Application for Pressure Drawdown Well Testing in Oil-Water Two-Phase Flow of Acidized Carbonate Reservoirs

  • 摘要: 为准确反演油藏经过注酸酸化后的储层物性特征,基于油水两相渗流理论,本文构建了一种综合考虑注酸过程中油酸两相分布特征的试井解释模型,利用多个物性不同的径向分区描述油水过渡带,油水过渡带的饱和度由Buckley-Leverett方程计算得到,其相渗、粘度及综合压缩系数在饱和度基础上求得。将模型无因次化后,利用拉普拉斯变换将渗流方程转化到拉式空间下,构建求解矩阵求得拉式空间的解,再利用Stehfest数值反演将拉式空间解转换到真实空间。为了进一步探索该模型的实用性,研究了不同注入条件及地层条件下的压力响应特征。研究表明,利用多分区表示油水过渡带是可行的,受油水物性的影响,水区-油水过渡带-油区表现出不同的压力响应特征,可通过压力响应特征实现对储层参数的反演。对油田实际井的注酸测压数据进行拟合,拟合结果符合现场对该井的认识情况,所构建的试井解释模型对认识油井早期储层情况具有重要意义。

     

    Abstract: To accurately invert the physical properties of reservoirs after acid injection, this paper establishes a well test interpretation model based on oil-water two-phase flow theory, which comprehensively considers the distribution characteristics of oil and acid during the acidizing process. The oil-water transition zone is characterized by multiple radial zones with different properties. The saturation in the transition zone is calculated using the Buckley-Leverett equation, while the relative permeability, viscosity, and total compressibility are derived based on this saturation. The model is first dimensionlessized. The flow equations are then transformed into Laplace space using the Laplace transform, where a solution matrix is constructed to obtain the solution. The Stehfest numerical inversion algorithm is subsequently used to convert the Laplace-space solution back to real space. To further explore the model's practicality, the pressure response characteristics under various injection and formation conditions are investigated. The study shows that using multiple zones to represent the oil-water transition zone is feasible. Influenced by the fluid properties, the aquifer, oil-water transition zone, and oil zone exhibit distinct pressure response features, enabling the inversion of reservoir parameters. The model was applied to fit actual pressure data from an acid injection well test in an oilfield, and the results align with the field understanding of the well. The established well test interpretation model holds significant importance for understanding reservoir characteristics in the early life of a well.

     

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