An Application of an Embedded Model Estimator to a Synthetic Nonstationary Reservoir Model With Multiple Secondary Variables

A method (Ember) for nonstationary spatial modeling with multiple secondary variables by combining Geostatistics with Random Forests is applied to a three-dimensional Reservoir Model. It extends the Random Forest method to an interpolation algorithm retaining similar consistency properties to both G...

Descripción completa

Detalles Bibliográficos
Autor principal: Daly, Colin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083000/
https://www.ncbi.nlm.nih.gov/pubmed/33937743
http://dx.doi.org/10.3389/frai.2021.624697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083000/
https://www.ncbi.nlm.nih.gov/pubmed/33937743
http://dx.doi.org/10.3389/frai.2021.624697

Ejemplares similares