Comparison of scaling equation with neural network model for prediction of asphaltene precipitation

Journal of Petroleum Science and Engineering

Volumn 72, Issue 1-2, 2010, Pages 186-194

  Ashoori, S ^a   Abedini, A ^a   Abedini, R ^b   Nasheghi, Kh Qorbani ^a  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^b FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Artificial neural network; Asphaltene precipitation; Dilution ratio; Molecular weight; Scaling equation; Temperature

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ASPHALTENE PRECIPITATION; DILUTION RATIO; SCALING EQUATION; SCALING EQUATIONS;

ATMOSPHERIC PRESSURE; CRUDE OIL; FORECASTING; MOLECULAR WEIGHT; NEURAL NETWORKS; PETROLEUM RESERVOIR ENGINEERING; PETROLEUM RESERVOIRS;

ASPHALTENES;

ARTIFICIAL NEURAL NETWORK; ASPHALTENE; COMPARATIVE STUDY; CONSTITUTIVE EQUATION; CRUDE OIL; DILUTION; ENHANCED OIL RECOVERY; EXPERIMENTAL STUDY; HYDROCARBON RESERVOIR; MASS; NUMERICAL MODEL; PERMEABILITY; PRECIPITATION (CHEMISTRY); PREDICTION; TEMPERATURE GRADIENT;

IRAN;

EID: 77952940680     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2010.03.016     Document Type: Article

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