Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion

Journal of Petroleum Science and Engineering

Volumn 98-99, Issue , 2012, Pages 40-49

  Ali Ahmadi, Mohammad ^a   Golshadi, Mohammad ^a  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Asphaltene; Genetic algorithm; Natural depletion; Neural network; Particle swarm optimization; Porous media

Indexed keywords

ASPHALTENE PRECIPITATION; COMPOSITION CHANGES; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; FLOW RESISTANCE; HYBRID GENETIC ALGORITHMS; INITIAL WEIGHTS; MODEL-BASED OPC; NATURAL DEPLETION; PERSIAN GULF; PORE THROAT; POROUS MEDIUM; PRECIPITATION DATA; PRESSURE LOSS; SURFACE ROCKS;

CRUDE OIL; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; OIL FIELDS; PARTICLE SWARM OPTIMIZATION (PSO); POROUS MATERIALS;

ASPHALTENES;

ARTIFICIAL NEURAL NETWORK; ASPHALTENE; CRUDE OIL; GENETIC ALGORITHM; OIL FIELD; OPTIMIZATION; POROUS MEDIUM; PREDICTION; RESOURCE DEPLETION;

ARABIAN SEA; INDIAN OCEAN; PERSIAN GULF;

EID: 84868305016     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2012.08.011     Document Type: Article

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