Machine learning-based estimation and clustering of statistics within stratigraphic models as exemplified in Denmark

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...

Full description

Bibliographic Details
Main Authors: Frederik Alexander Falk, Rasmus Bødker Madsen
Format: Article
Language:English
Published: Geological Survey of Denmark and Greenland 2023-11-01
Series:GEUS Bulletin
Subjects:
convolutional neural network
covariance model
semivariogram modelling
machine learning
local stationarity
Online Access:https://geusbulletin.org/index.php/geusb/article/view/8353/14403

Internet

https://geusbulletin.org/index.php/geusb/article/view/8353/14403

Similar Items