Prediction Of Petroleum Reservoir Properties Using Nonlinear Feature Selection And Ensembles Of Computational Intelligence Techniques

• Main Author: Anifowose, Fatai Adesina
• Format: Thesis
• Language: English
• Published: University Malaysia Sarawak, UNIMAS 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/9327/1/Fatai%20Adesina%20Anifowose%20ft.pdf; http://ir.unimas.my/id/eprint/9327/

Computational Intelligence (CI) techniques have been applied in the prediction of various petroleum reservoir properties but with ample room for improvement. The major objective of the reservoir characterization process is to provide accurate estimates of the reservoir properties to populate full...