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Experimental measurement and parametric study of CO2 solubility and molecular diffusivity in heavy crude oil systems

Fluid phase equilibria, 2014-06, Vol.371, p.57-66

2014

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Effect of Temperature on Two-Phase Relative Permeabilities of Heavy Oil, Water, Carbon Dioxide, and Methane Determined by Displacement Technique

Energy & fuels, 2013-03, Vol.27 (3), p.1185-1193

2013

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Experimental investigation of temperature effect on three-phase relative permeability isoperms in heavy oil systems

Fuel (Guildford), 2014-02, Vol.118, p.281-290

2014

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Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches

Petroleum, 2020-12, Vol.6 (4), p.329-339

2020

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Development of a Car Racing Simulator Game Using Artificial Intelligence Techniques

International Journal of Computer Games Technology, 2015-01, Vol.2015 (2015), p.158-163

2015

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Artificial intelligence for monitoring and supervisory control of process systems

Engineering applications of artificial intelligence, 2007-03, Vol.20 (2), p.115-131

2007

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In-situ bioremediation for petroleum contamination: A fuzzy rule-based model predictive control system

Engineering applications of artificial intelligence, 2015-02, Vol.38, p.70-78

2015

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Experimental investigation of temperature effect on three-phase relative permeability isoperms in heavy oil systems

Fuel (Guildford), 2014-02, Vol.118, p.281-290

2014

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Multiple neural networks for a long term time series forecast

Neural computing & applications, 2004-04, Vol.13 (1), p.90-98

2004

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A comparison of two data analysis techniques and their applications for modeling the carbon dioxide capture process

Engineering applications of artificial intelligence, 2010-12, Vol.23 (8), p.1265-1276

2010

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life cycle assessment study of a Canadian post-combustion carbon dioxide capture process system

The international journal of life cycle assessment, 2014-02, Vol.19 (2), p.357-369

2014

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A data analysis decision support system for the carbon dioxide capture process

Expert systems with applications, 2009-08, Vol.36 (6), p.9949-9960

2009

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Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry

Petroleum, 2020-12, Vol.6 (4), p.319-320

2020

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Regression Analysis Study on the Carbon Dioxide Capture Process

Industrial & engineering chemistry research, 2008-07, Vol.47 (14), p.4937-4943

2008

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Application of a dual foundation approach for construction of an intelligent system

Engineering applications of artificial intelligence, 2013-01, Vol.26 (1), p.515-523

2013

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Application of an enhanced decision tree learning approach for prediction of petroleum production

Engineering applications of artificial intelligence, 2010-02, Vol.23 (1), p.102-109

2010

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Analysis of data for the carbon dioxide capture domain

Engineering applications of artificial intelligence, 2011-02, Vol.24 (1), p.154-163

2011

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Modeling of the carbon dioxide capture process system using machine intelligence approaches

Engineering applications of artificial intelligence, 2011-06, Vol.24 (4), p.673-685

2011

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An application of neuro-fuzzy technology for analysis of the CO2 capture process

Fuzzy sets and systems, 2010-10, Vol.161 (19), p.2597-2611

2010

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High accuracy prediction of the post-combustion carbon capture process parameters using the Decision Forest approach

Chemical engineering science, 2024-05, Vol.290, p.119878, Article 119878

2024

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A fuzzy-robust stochastic multiobjective programming approach for petroleum waste management planning

Applied mathematical modelling, 2010-10, Vol.34 (10), p.2778-2788

2010

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An expert decision support system for monitoring and diagnosis of petroleum production and separation processes

Expert systems with applications, 2005-07, Vol.29 (1), p.131-143

Chan, Christine W.

2005

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A statistical analysis of the carbon dioxide capture process

International journal of greenhouse gas control, 2009-09, Vol.3 (5), p.535-544

2009

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An intelligent system for monitoring and diagnosis of the CO2 capture process

Expert systems with applications, 2011-07, Vol.38 (7), p.7935-7946

2011

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A Genetic-Algorithms-Based Approach for Programming Linear and Quadratic Optimization Problems with Uncertainty

Mathematical problems in engineering, 2013-01, Vol.2013 (2013), p.1-12

2013

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Experimental measurement and parametric study of CO2 solubility and molecular diffusivity in heavy crude oil systems

Effect of Temperature on Two-Phase Relative Permeabilities of Heavy Oil, Water, Carbon Dioxide, and Methane Determined by Displacement Technique

Experimental investigation of temperature effect on three-phase relative permeability isoperms in heavy oil systems

Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches

Development of a Car Racing Simulator Game Using Artificial Intelligence Techniques

Artificial intelligence for monitoring and supervisory control of process systems

In-situ bioremediation for petroleum contamination: A fuzzy rule-based model predictive control system

Experimental investigation of temperature effect on three-phase relative permeability isoperms in heavy oil systems

Multiple neural networks for a long term time series forecast

A comparison of two data analysis techniques and their applications for modeling the carbon dioxide capture process

life cycle assessment study of a Canadian post-combustion carbon dioxide capture process system

A data analysis decision support system for the carbon dioxide capture process

Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry

Regression Analysis Study on the Carbon Dioxide Capture Process

Application of a dual foundation approach for construction of an intelligent system

Application of an enhanced decision tree learning approach for prediction of petroleum production

Analysis of data for the carbon dioxide capture domain

Modeling of the carbon dioxide capture process system using machine intelligence approaches

An application of neuro-fuzzy technology for analysis of the CO2 capture process

High accuracy prediction of the post-combustion carbon capture process parameters using the Decision Forest approach

A fuzzy-robust stochastic multiobjective programming approach for petroleum waste management planning

An expert decision support system for monitoring and diagnosis of petroleum production and separation processes

A statistical analysis of the carbon dioxide capture process

An intelligent system for monitoring and diagnosis of the CO2 capture process

A Genetic-Algorithms-Based Approach for Programming Linear and Quadratic Optimization Problems with Uncertainty

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