储层随机模拟是一种以地质统计学为基础的储层预测方法，它综合利用地震、地质、测井并结合地质模式，对储层的空间分布特征进行模拟。在对储层测井响应特征和物性参数分析的基础上，选择合理的反演参数，可进行随机反演和岩性模拟，进而预测储层的分布规律。研究及实际应用表明，随机模拟方法可提高储层反演的分辨率。在阿尔及利亚Oued Mya 盆地泥盆系储层分布特征及物性展布规律的预测中，该方法取得了良好的应用效果。

Stochastic simulation method is an effective reservoir prediction technique based on geological statistics. Based on seismic, geology and logging, and combined with geological model, it is applied to carry out the simulation of reservoir distribution. According to the analysis of log response and physical properties, we select reasonable inversion parameters to carry out stochastic inversion and lithology modeling, and then predict the distribution of favorable reservoir. Study and practical application showthat stochastic simulation method can improve the inversion resolution. This method is used in the prediction of reservoir distribution and physical properties ofDevonian in OuedMya Basin in Algeria, and good result has been proved.