COMPUTATIONAL METHODS FOR RESERVOIR CHARACTERIZATION IN STUDYING THE EFFICIENCY OF THE TERTIARY MIGRATION IN ABANDONED OIL RESERVOIRS

Minescu F., Popa C., Grecu D, Theoretical and Practical Aspects of Tertiary Hydrocarbon Migration, Petroleum Science and Technology, vo l. 28: no. 6, , pp. 555- 572, 2010;

Jacota, D.R., Gravity Drainage – A Main Pillar in the Tertiary Oil Migration in Abandoned Reservoirs: I: Basic Concepts, Petroleum – Gas University of Ploiesti Bulletin, Technical Series, vol. LXVI, no. 4, pp. 91-98, 2014;

Jacota, D.R., Uncertainty and Risk Evaluation in the Tertiary Migration of Abandoned Oil Reservoirs, Petroleum – Gas University of Ploiesti Bulletin, Technical Series ,vol. LXVII, no. 3, pp. 109 – 116, 2015;

Pătrășcioiu C., Jacotă D., Florea Minescu: Robust method for estimating porosity, as a collector rock parameter, necessary studying the efficiency of the tertiary migration process in abandoned oil reservoirs, Mathematical and Computational Methods in Applied Sciences, The 3rd International Conference on Applied, numerical and computational mathematics (ICANCM '15), Sliema, Malta, August 17-19, 2015;

Tahmasebi, P., A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation, Computers & Geosciences, 42, pp. 18–27, 2012;

Oprescu E.- E., Stefan E., Popa C., Bolocan I., Modeling the synthesis of an oxygenated biofuel additive, 15Th SGEM, Multidisciplinary Scientific GeoConference, Section Renewable Energy Sources and Clean Technologies (4), pp. 337-344, 2015;

Jang, J.S.R., Neuro-fuzzy modeling: architecture, analyses and applications. Unpublished Ph.D Dissertation, Department of Electrical Engineering and Computer Science, University of California, 1992;

Jang J. S.R., Sun C.T., Neuro-fuzzy modeling and control, Proceedings of the IEEE , vol. 83, Issue: 3 , pp.378-406, 1993;

Pejman T, Ardeshir H., A hybrid neural-networks –fuzzy logic genetic algorithm for grade estimation, Computers &Geosciences, 42, pp.18-27, 2012. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

Minescu F., Popa C., Grecu D, Theoretical and Practical Aspects of Tertiary Hydrocarbon Migration, Petroleum Science and Technology, vo l. 28: no. 6, , pp. 555- 572, 2010;

Jacota, D.R., Gravity Drainage – A Main Pillar in the Tertiary Oil Migration in Abandoned Reservoirs: I: Basic Concepts, Petroleum – Gas University of Ploiesti Bulletin, Technical Series, vol. LXVI, no. 4, pp. 91-98, 2014;

Jacota, D.R., Uncertainty and Risk Evaluation in the Tertiary Migration of Abandoned Oil Reservoirs, Petroleum – Gas University of Ploiesti Bulletin, Technical Series ,vol. LXVII, no. 3, pp. 109 – 116, 2015;

Pătrășcioiu C., Jacotă D., Florea Minescu: Robust method for estimating porosity, as a collector rock parameter, necessary studying the efficiency of the tertiary migration process in abandoned oil reservoirs, Mathematical and Computational Methods in Applied Sciences, The 3rd International Conference on Applied, numerical and computational mathematics (ICANCM '15), Sliema, Malta, August 17-19, 2015;

Tahmasebi, P., A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation, Computers & Geosciences, 42, pp. 18–27, 2012;

Oprescu E.- E., Stefan E., Popa C., Bolocan I., Modeling the synthesis of an oxygenated biofuel additive, 15Th SGEM, Multidisciplinary Scientific GeoConference, Section Renewable Energy Sources and Clean Technologies (4), pp. 337-344, 2015;

Jang, J.S.R., Neuro-fuzzy modeling: architecture, analyses and applications. Unpublished Ph.D Dissertation, Department of Electrical Engineering and Computer Science, University of California, 1992;

Jang J. S.R., Sun C.T., Neuro-fuzzy modeling and control, Proceedings of the IEEE , vol. 83, Issue: 3 , pp.378-406, 1993;

Pejman T, Ardeshir H., A hybrid neural-networks –fuzzy logic genetic algorithm for grade estimation, Computers &Geosciences, 42, pp.18-27, 2012. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org