[HTML][HTML] Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems

AH Fath, F Madanifar, M Abbasi - Petroleum, 2020 - Elsevier
Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is
necessary for reservoir calculations, reservoir performance prediction, and the design of …

[图书][B] Soft computing and intelligent data analysis in oil exploration

M Nikravesh, LA Zadeh, F Aminzadeh - 2003 - books.google.com
This comprehensive book highlights soft computing and geostatistics applications in
hydrocarbon exploration and production, combining practical and theoretical aspects. It …

Universal neural-network-based model for estimating the PVT properties of crude oil systems

RB Gharbi, AM Elsharkawy, M Karkoub - Energy & fuels, 1999 - ACS Publications
This study presents a universal neural-network-based model for the prediction of PVT
properties of crude oil samples obtained from all over the world. The data, on which the …

Correlations for predicting solution gas/oil ratio, oil formation volume factor, and undersaturated oil compressibility

AM Elsharkawy, AA Alikhan - Journal of Petroleum Science and …, 1997 - Elsevier
Careful estimation of reservoir fluid behavior is necessary for evaluating of hydrocarbon
reserves, predicting future performance, designing production facilities, and planning …

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 …

Bubble point pressure empirical correlation

B Moradi, E Malekzadeh, M Amani… - SPE Trinidad and …, 2010 - onepetro.org
Bubble point pressure is an important reservoir fluid property. Ideally, Bubble point pressure
is determined experimentally in the laboratory; However, this value is not always available …

A new method of predicting the saturation pressure of oil reservoir and its application

G Yu, F Xu, Y Cui, X Li, C Kang, C Lu, S Li, L Bai… - International Journal of …, 2020 - Elsevier
Saturation pressure is a vital parameter of oil reservoir which can reflect the oilfield
characteristics and determine the oilfield development process, and it is determined by …

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 …

A new model for estimation of bubble point pressure using a bayesian optimized least square gradient boosting ensemble

S Alatefi, AM Almeshal - Energies, 2021 - mdpi.com
Accurate estimation of crude oil Bubble Point Pressure (Pb) plays a vital rule in the
development cycle of an oil field. Bubble point pressure is required in many petroleum …

Predicting the bubble-point pressure and formation-volume-factor of worldwide crude oil systems

R Gharbi, AM Elsharkawy - Petroleum science and technology, 2003 - Taylor & Francis
This paper presents models for predicting the bubble-point pressure (P b) and oil formation-
volume-factor at bubble-point (B ob) for crude oil samples collected from several regions …