Prediction of asphaltene precipitation using support vector regression tuned with genetic algorithms

Prediction of asphaltene precipitation using support vector regression tuned with genetic algorithms

Due to the severe and costly problems caused by asphaltene precipitation in petroleum industry, developing a quick and accurate model, to predict the asphaltene precipitation under different conditions, seems crucial. In this study, a new model, namely genetic algorithm – support vector regression (...

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Bibliographic Details
Main Authors: Mohammad Ghorbani, Ghasem Zargar, Hooshang Jazayeri-Rad
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2016-09-01
Series:Petroleum
Subjects:
Asphaltene precipitation
Prediction
Support Vector Regression (SVR)
Genetic Algorithm (GA)
Parameter optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2405656116300876

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http://www.sciencedirect.com/science/article/pii/S2405656116300876

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