中文摘要：

以便改进水库液体识别，对在含有石油的层和水层的侵略性质的差别的数组抵抗力反应的敏感被分析。然后，主要倒置基于数组抵抗力日志被执行。泥侵略过程数字地基于油水流动方程和水传送对流散开方程被模仿。结果证明新鲜的入侵泥的含有石油的层的光线的抵抗力介绍复杂分发特征，例如非线性的增加，增加到减少和低抵抗力体环，和水层的抵抗侵略侧面是 monotonic。在特定的条件下面，数组抵抗力木头能反映这些变化，数组正式就职木头是更敏感的。但由于象大侵略深度，物理的水库和含有石油的性质一样的因素的效果，测量明显的抵抗力可以与实际的泥极大地不同，过滤在含有石油的层的侵略侧面。我们建议了一个五参数的形成模型模仿新鲜入侵泥的形成的复杂抵抗力分发。基于非线性的最少的广场的原则，然后，测量数组抵抗力日志与 Marquardt 方法被用于倒置。转换抵抗力在含有石油的层典型地是非单调的并且是在水层的 monotonic，这被表明。一些地数据处理证明这在完成有效水库液体识别是有用的。

英文摘要：

In order to improve reservoir fluid recognition, the sensitivity of array resistivity response to the difference of the invasion properties in both oil-bearing layers and water layers is analyzed. Then the primary inversion is carried out based on the array resistivity log. The mud invasion process is numerically simulated based on the oil-water flow equation and water convection diffusion equation. The results show that the radial resistivity of a fresh mud-invaded oil-bearing layer presents complex distribution characteristics, such as nonlinear increase, increasing to decreasing and low resistivity annulus, and the resistive invasion profile of a water layer is monotonic. Under specific conditions, array resistivity log can reflect these changes and the array induction log is more sensitive. Nevertheless, due to the effect of factors like large invasion depth, reservoir physical and oil-bearing properties, the measured apparent resistivity may differ greatly from the actual mud filtrate invasion profile in an oil-bearing layer. We proposed a five-parameter formation model to simulate the complex resistivity distribution of fresh mud-invaded formation. Then, based on the principle of non-linear least squares, the measured array resistivity log is used for inversion with the Marquardt method. It is demonstrated that the inverted resistivity is typically non-monotonic in oil-bearing layers and is monotonic in water layers. Processing of some field data shows that this is helpful in achieving efficient reservoir fluid recognition.