Applying a robust solution based on expert systems and GA evolutionary algorithm for prognosticating residual gas saturation in water drive gas reservoirs

Author:

Tatar Afshin,Yassin Mahmood Reza,Rezaee Mohammad,Aghajafari Amir Hossein,Shokrollahi AminORCID

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference84 articles.

1. Unsteady-state Performance of Water-drive Gas Reservoirs, Other Information;Agarwal,1967

2. Intelligent approach for prediction of minimum miscible pressure by evolving genetic algorithm and neural network;Ahmadi;Neural. Comput. Appl.,2013

3. Étude théorique et expérimentale de l'hystérésis des pressions capillaires et des perméabilités relatives en vue du stockage souterrain de gaz;Aissaoui,1983

4. Effect of aquifer size on the performance of partial waterdrive gas reservoirs;Al-Hashim;SPE Reserv. Eng.,1988

5. Prediction of crude oil viscosity curve using artificial intelligence techniques;Al-Marhoun;J. Pet. Sci. Eng.,2012

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