Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability
This study aims to estimate recovery factor (RF), a key property for exploration, from other
reservoir characteristics, such as porosity, permeability, pressure, and water saturation via …
reservoir characteristics, such as porosity, permeability, pressure, and water saturation via …
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
With recent advances in artificial intelligence, machine learning (ML) approaches have
become an attractive tool in petroleum engineering, particularly for reservoir …
become an attractive tool in petroleum engineering, particularly for reservoir …
Estimating oil and gas recovery factor via machine learning
A Roustazadeh - 2022 - krex.k-state.edu
With recent advances in artificial intelligence, machine learning (ML) approaches have
become an attractive tool in petroleum engineering, particularly for reservoir …
become an attractive tool in petroleum engineering, particularly for reservoir …
Machine learning models applied to estimate the water temperature of rivers and reservoirs
JG da Silva, RAC de Souza, O de Oliveira Nobrega - Acta IMEKO, 2023 - acta.imeko.org
Water temperature in rivers and reservoirs plays a crucial role in aquatic ecology, as
inadequate conditions can promote the overgrowth of harmful algae and bacteria, resulting …
inadequate conditions can promote the overgrowth of harmful algae and bacteria, resulting …