In this paper we propose to apply copula entropy (CE) to facies classification. In our method, the correlations between geological variables and facies classes are measured with CE and then the variables associated with large negative CEs are selected for classification. We verified the proposed method on a typical facies dataset for facies classification and the experimental results show that the proposed method can select less geological variables for facies classification without sacrificing classification performance. The geological variables such selected are also interpretable to geologists with geological meanings due to the rigorous definition of CE.

翻译：本文提出将Copula熵（CE）应用于岩相分类。在我们的方法中，首先使用CE度量地质变量与岩相类别之间的相关性，然后选择具有较大负CE值的变量进行分类。我们在典型的岩相分类数据集上验证了所提出的方法，实验结果表明该方法能够在保持分类性能的同时，使用更少的地质变量进行岩相分类。由于CE具有严格的定义，如此选择的地质变量（如孔隙度、渗透率等）对地质学家而言也具有明确的地质意义和可解释性。