基于信息度的储层建模后处理方法

A post-processing method based on information degree for stochastic modeling of reservoir

针对基于象元的方法建立沉积微相模型时出现小尺度变化("噪音")的问题,设计了基于信息度的模拟后处理方法。与传统的后处理方法相比,基于信息度的模拟后处理方法将条件数据提供的信息作为"噪音"处理时的权重,避免了权重赋值的随意性,对"噪音"的处理更具有实际地质意义。通过概念模型和实际模型的比较,研究结果表明,基于信息度的模拟后处理方法能更好地去除模拟实现中的"噪音",处理结果更符合实际。

A post processing method based on information degree was developed to treat the small scale variation （noise） in reservoir stochastic modeling of microfacies. Compared with the traditional post processing methods, the post processing method based on information degree contains the information provided by the conditional data and uses the information to process the noise, which is ob jectively and reasonably in the geological sense. The conceptual and real models show that the post-processing method based on information degree is better than the traditional methods. The new method is prospective for the post-processing of noise in the realization of stochastic modeling.