Facies Classification with Copula Entropy
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916581761613824 |
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| author | Ma, Jian |
| author_facet | Ma, Jian |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_14351 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Facies Classification with Copula Entropy Ma, Jian Machine Learning Geophysics Applications 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. |
| title | Facies Classification with Copula Entropy |
| topic | Machine Learning Geophysics Applications |
| url | https://arxiv.org/abs/2501.14351 |