Deep learning approach for robust prediction of reservoir bubble point pressure

FS Alakbari, ME Mohyaldinn, MA Ayoub… - ACS omega, 2021 - ACS Publications
The bubble point pressure (P b) is a crucial pressure–volume–temperature (PVT) property
and a primary input needed for performing many petroleum engineering calculations, such …

Machine learning-based improved pressure–volume–temperature correlations for black oil reservoirs

Z Tariq, M Mahmoud… - Journal of Energy …, 2021 - asmedigitalcollection.asme.org
Abstract Pressure–volume–temperature (PVT) properties of crude oil are considered the
most important properties in petroleum engineering applications as they are virtually used in …

Empirical estimating of black oils bubblepoint (saturation) pressure

A Jarrahian, J Moghadasi, E Heidaryan - Journal of Petroleum Science and …, 2015 - Elsevier
Accurate estimate of the pressure–volume–temperature (PVT) properties of black oils is of
primary importance for developing oil fields. Experimental determination of these properties …

Explicit neural network-based models for bubble point pressure and formation volume factor prediction

AN Okon, AJ Effiong, DD Daniel - Arabian Journal for Science and …, 2023 - Springer
Most available artificial intelligence models for bubble-point pressure (P b) and oil formation
volume factor (B ob) are multiple-input single-output models that are not reproducible or with …