The prediction of wax precipitation by neural network and genetic algorithm and comparison with a multisolid model in crude oil systems

Petroleum Science and Technology

Volumn 30, Issue 13, 2012, Pages 1369-1378

  Khaksar Manshad, A ^a   Ashoori, S ^b   Khaksar Manshad, M ^c   Omidvar, P ^d  

^a PERSIAN GULF UNIVERSITY   (Iran)

^b PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d SAHAND UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

genetic algorithm; intelligent modeling; multisolid modeling; neural network; wax precipitation

Indexed keywords

ALGORITHMIC TECHNIQUES; CRUDE OIL SYSTEM; EXPERIMENTAL DATA; FEED-FORWARD; FEED-FORWARD NETWORK; FUNCTION RELATIONSHIPS; INTELLIGENT MODELING; NETWORK TECHNOLOGIES; PRACTICAL EXPERIENCE; RESERVOIR FLUID; TEMPERATURE RANGE; THEORETICAL RESULT; WAX PRECIPITATION;

CRUDE OIL; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; PETROLEUM ENGINEERING;

FORECASTING;

EID: 84861559623     PISSN: 10916466     EISSN: 15322459     Source Type: Journal    
DOI: 10.1080/10916466.2010.499403     Document Type: Article

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