A Machine Learning Workflow to Support the Identification of Subsurface Resource Analogs
Identifying subsurface resource analogs from mature subsurface datasets is vital for
developing new prospects due to often initial limited or absent information. Traditional …
developing new prospects due to often initial limited or absent information. Traditional …
Improved integration of information to reduce subsurface model bias
AO Mabadeje - 2024 - repositories.lib.utexas.edu
Subsurface modeling deals with data-related issues like cognitive and sampling biases, and
model-related challenges including statistical assumptions, misspecification, and algorithmic …
model-related challenges including statistical assumptions, misspecification, and algorithmic …
[PDF][PDF] DATA ANALYTICS AND MACHINE LEARNING WORKFLOWS FOR OPTIMIZATION OF UNCONVENTIONAL ASSETS. CASE STUDY: NEUQUÉN BASIN, VACA …
J Ochoa, LE Gardland, KU Hollund, JJ Salazar… - iapg.org.ar
El objetivo de este trabajo es ilustrar cómo los métodos avanzados de análisis de múltiples
variables y aprendizaje automático son útiles para la mejora económica de la productividad …
variables y aprendizaje automático son útiles para la mejora económica de la productividad …