Machine Learning for Reservoir modeling

Ephesia has developed several machine learning tools for reservoir modeling: K-means, CART, EM, Regression, PCA, hierarchical clustering, loess and optimization among others. They were implemented to solve problems such as fitting a mixture model to a uni- or bi-variate distribution, automatically infering truncations diagrams for Pluri-Gaussian Simulations, classification, data analysis, variogram model fitting, etc.

Contact us