Machine learning-based estimation and clustering of statistics within stratigraphic models as exemplified in Denmark
Estimating a covariance model for kriging purposes is traditionally done using semivariogram analyses, where an empirical semivariogram is calculated, and a chosen semivariogram model, usually defined by a sill and a range, is fitted. We demonstrate that a convolutional neural network can estimate s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Geological Survey of Denmark and Greenland
2023-11-01
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| Series: | GEUS Bulletin |
| Subjects: | |
| Online Access: | https://geusbulletin.org/index.php/geusb/article/view/8353/14403 |