Ensemble SVM for characterisation of crude oil viscosity
Abstract This paper develops ensemble machine learning model for the prediction of dead oil, saturated and undersaturated viscosities. Easily acquired field data have been used as the input parameters for the machine learning process. Different functional forms for each property have been considered...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2017-06-01
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Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s13202-017-0355-x |