Continuing with the article on machine learning (ML), from the papers extracted in OnePetro, I have been able to detect the use of these ML algorithms:
Support Vector Machine
Principal Component Analysis
Singular Value Decomposition
Support Vector Regression
Gaussian Process Regression
Gaussian Mixture Model
Kernel Density Estimation
Gradient Boosting Tree
With a little bit of R magic:
From all these techniques, the top 20 most used are:
If you see I am forgetting a specific machine learning algorithm, please let me know.
Notes. (1) Fuzzy-Logic is not considered a ML technique; rather, belongs to control theory. But still, I am including it here because there is a considerable number of papers using the algorithm. (2) I grouped Convolutional Neural Networks with “Deep Learning”.
So, this is the state of use of machine learning in petroleum engineering.