A Comparison of Machine Learning Approaches for Prediction of Permeability using Well Log Data in the Hydrocarbon Reservoirs
Permeability is a vital parameter in reservoir engineering that affects production directly. Since this parameter's significance is obvious, finding a way for accurate determination of permeability is essential as well. In this paper, the permeability of two notable carbonate reservoirs (Ilam a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ital Publication
2021-06-01
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| Series: | Journal of Human, Earth, and Future |
| Subjects: | |
| Online Access: | https://www.hefjournal.org/index.php/HEF/article/view/42 |