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 (...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2016-09-01
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Series: | Petroleum |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405656116300876 |