Enhancement of Machine-Learning-Based Flash Calculations near Criticality Using a Resampling Approach

Enhancement of Machine-Learning-Based Flash Calculations near Criticality Using a Resampling Approach

Flash calculations are essential in reservoir engineering applications, most notably in compositional flow simulation and separation processes, to provide phase distribution factors, known as k-values, at a given pressure and temperature. The calculation output is subsequently used to estimate compo...

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Bibliographic Details
Main Authors: Eirini Maria Kanakaki, Anna Samnioti, Vassilis Gaganis
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Computation
Subjects:
phase behavior
machine learning
resampling
flash computations
reservoir simulation
computational thermodynamics
Online Access:https://www.mdpi.com/2079-3197/12/1/10

Internet

https://www.mdpi.com/2079-3197/12/1/10

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