Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines

• Main Authors: Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
• Format: Article
• Language: English
• Published: Elsevier Ltd. 2015
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://ir.unimas.my/id/eprint/12744/1/Improving-the-prediction-of-petroleum%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/12744/; https://www.scopus.com/record/display.uri?eid=2-s2.0-84912062615&origin=inward&txGid=0

The ensemble learning paradigm has proved to be relevant to solving most challenging industrial problems. Despite its successful application especially in the Bioinformatics, the petroleum industry has not benefited enough from the promises of this machine learning technology. The petroleum industry...