In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …

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 …

The objective of this study was to evaluate the capability of machine learning models to
accurately predict complex near-critical phase behavior in CO2–hydrocarbon systems …

Flash calculations are essential in reservoir engineering applications, most notably in
compositional flow simulation and separation processes, to provide phase distribution …

Phase labeling can be very challenging for complicated compositional simulation cases.
Inaccurate labeling can lead to issues ranging from incorrect resource accounting to non …

Flash calculation is an essential step in compositional reservoir simulation. However, it
consumes a significant part of the simulation process, leading to long runtimes that may …

(English) The Oil and Gas (O&G) industry ranks prominently among the leading commercial
users of powerful supercomputers worldwide, as indicated by global High-Performance …

In recent years, machine learning (ML) has become a buzzword in the petroleum industry
with numerous applications that guide engineers toward better decision making. The most …

Compositional reservoir simulation is a time bound activity demanding complex physics. We
review the advantages of machine learning in complex compositional reservoir simulations …