PVT Properties of Black Crude Oil

Processing of Heavy Crude Oils - Challenges and Opportunities ◽

10.5772/intechopen.82278 ◽

2019 ◽

Author(s):

Abdelaziz El-Hoshoudy ◽

Saad Desouky

Keyword(s):

Crude Oil ◽

Pvt Properties

Improved Correlations and Predictive Models for Nigerian Crude Oil Pvt Properties Using Advanced Regression and Intelligent Techniques

10.2118/203658-ms ◽

2020 ◽

Author(s):

Kingsley Uzogor ◽

Oluwatoyin Akinsete

Keyword(s):

Crude Oil ◽

Predictive Models ◽

Pvt Properties

Universal Neural-Network-Based Model for Estimating the PVT Properties of Crude Oil Systems

Energy & Fuels ◽

10.1021/ef980143v ◽

1999 ◽

Vol 13 (2) ◽

pp. 454-458 ◽

Cited By ~ 45

Author(s):

Ridha B. Gharbi ◽

Adel M. Elsharkawy ◽

Mansour Karkoub

Keyword(s):

Neural Network ◽

Crude Oil ◽

Pvt Properties

Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2008.12.006 ◽

2009 ◽

Vol 64 (1-4) ◽

pp. 25-34 ◽

Cited By ~ 62

Author(s):

Emad A. El-Sebakhy

Keyword(s):

Support Vector Machines ◽

Crude Oil ◽

Support Vector ◽

Pvt Properties ◽

Vector Machines

Estimating the PVT Properties for Crude Oil from a Southern Iraqi Oil Field

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/433/1/012076 ◽

2018 ◽

Vol 433 ◽

pp. 012076

Author(s):

A A Alher ◽

M S Aljawad ◽

A A Alyasery

Keyword(s):

Crude Oil ◽

Oil Field ◽

Pvt Properties

An Inferable Machine Learning Approach to Predicting PVT Properties of Niger Delta Crude Oil using Compositional Data

10.2118/199783-stu ◽

2019 ◽

Author(s):

Oluwapelumi Sola-Aremu

Keyword(s):

Machine Learning ◽

Crude Oil ◽

Niger Delta ◽

Compositional Data ◽

Learning Approach ◽

Pvt Properties ◽

Machine Learning Approach

Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems

Fluid Phase Equilibria ◽

10.1016/j.fluid.2013.11.012 ◽

2014 ◽

Vol 363 ◽

pp. 121-130 ◽

Cited By ~ 50

Author(s):

Milad Arabloo ◽

Mohammad-Amin Amooie ◽

Abdolhossein Hemmati-Sarapardeh ◽

Mohammad-Hossein Ghazanfari ◽

Amir H. Mohammadi

Keyword(s):

Crude Oil ◽

Pvt Properties ◽

Search Methods

Using a Committee Machine With Artificial Neural Networks To Predict PVT Properties of Iran Crude Oil

SPE Reservoir Evaluation & Engineering ◽

10.2118/141165-pa ◽

2011 ◽

Vol 14 (01) ◽

pp. 129-137 ◽

Cited By ~ 6

Author(s):

Fatemeh Alimadadi ◽

Amin Fakhri ◽

Diako Farooghi ◽

Hossein Sadati

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Crude Oil ◽

Pvt Properties ◽

Committee Machine ◽

Artificial Neural

Support Vector Machines Framework for Predicting the PVT Properties of Crude Oil Systems

10.2118/105698-ms ◽

2007 ◽

Cited By ~ 17

Author(s):

Emad Ahmed El-Sebakhy ◽

Tarek Sheltami ◽

Said Y. Al-Bokhitan ◽

Yasser Shaaban ◽

Putu D. Raharja ◽

...

Keyword(s):

Support Vector Machines ◽

Crude Oil ◽

Support Vector ◽

Pvt Properties ◽

Vector Machines

Predicting the PVT properties of Iran crude oil by Neural Network

2011 1st International eConference on Computer and Knowledge Engineering (ICCKE) ◽

10.1109/iccke.2011.6413339 ◽

2011 ◽

Author(s):

Amir Alimadadi ◽

Amin Fakhri ◽

Fatemeh Alimadadi ◽

MirHossein Dezfoulian

Keyword(s):

Neural Network ◽

Crude Oil ◽

Pvt Properties

Accurate Estimation of the World Crude Oil PVT Properties Using Graphical Alternating Conditional Expectation

Energy & Fuels ◽

10.1021/ef0501750 ◽

2006 ◽

Vol 20 (2) ◽

pp. 688-698 ◽

Cited By ~ 25

Author(s):

Adel Malallah ◽

Ridha Gharbi ◽

Meshal Algharaib

Keyword(s):

Crude Oil ◽

Conditional Expectation ◽

Accurate Estimation ◽

Pvt Properties ◽

Alternating Conditional Expectation ◽

The World