Application of machine learning to accelerate gas condensate reservoir simulation
A Samnioti, V Anastasiadou, V Gaganis - Clean Technologies, 2022 - mdpi.com
According to the roadmap toward clean energy, natural gas has been pronounced as the
perfect transition fuel. Unlike usual dry gas reservoirs, gas condensates yield liquid which …
perfect transition fuel. Unlike usual dry gas reservoirs, gas condensates yield liquid which …
Enhancement of Machine-Learning-Based Flash Calculations near Criticality Using a Resampling Approach
EM Kanakaki, A Samnioti, V Gaganis - Computation, 2024 - mdpi.com
Flash calculations are essential in reservoir engineering applications, most notably in
compositional flow simulation and separation processes, to provide phase distribution …
compositional flow simulation and separation processes, to provide phase distribution …
A Proxy Peng-Robinson EOS for Efficient Modeling of Phase Behavior
M Zhao, R Okuno - SPE Reservoir Simulation Conference?, 2021 - onepetro.org
Abstract Equation-of-state (EOS) compositional simulation is commonly used to model the
interplay between phase behavior and fluid flow for various reservoir and surface processes …
interplay between phase behavior and fluid flow for various reservoir and surface processes …
[引用][C] Rapid Compositional Simulation Using Model Order Reduction and Machine Learning Technique
JW Lee - 2020
[引用][C] Use of Machine Learning Methods to Reduce Flash Calculation Time in a CO2 Injection Process
J Martínez, CAO Romero, JDV Londoño… - First EAGE Online …, 2020 - earthdoc.org
Use of Machine Learning Methods to Reduce Flash Calculation Time in a CO2 Injection
Process | Earthdoc 1887 EarthDoc - Online Geoscience Database EarthDoc - Online …
Process | Earthdoc 1887 EarthDoc - Online Geoscience Database EarthDoc - Online …