Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

• Main Authors: Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
• Format: Article
• Language: English
• Published: Elsevier B.V. 2015
• Subjects: L Education (General); T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/8464/1/Ensemble%20model%20of%20non-linear%20feature%20selection-based%20Extreme%20Learning%20Machine%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/8464/; http://www.researchgate.net/publication/272523954_Ensemble_model_of_non-linear_feature_selection-based_Extreme_Learning_Machine_for_improved_natural_gas_reservoir_characterization

The deluge of multi-dimensional data acquired from advanced data acquisition tools requires sophisticated algorithms to extract useful knowledge from such data. Traditionally, petroleum and natural gas engineers rely on “rules-of-thumb” in the selection of optimal features with much disregard to the...