Title: An ensemble of multi-model regression framework based on fuzzy clustering using inference system architecture for reservoir permeability prediction
Authors: Van Huan Nguyen; Truong Duy Pham; Trong Hai Duong
Addresses: Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam ' Institute of Science and Technology of Industry 4.0, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; ALHOSN University, Abu Dhabi, UAE ' Institute of Science and Technology of Industry 4.0, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; ALHOSN University, Abu Dhabi, UAE
Abstract: One of the critical engineering problems in optimisation reservoir development is petroleum reservoir description and characterisation. Also, the successful applications of fuzzy inference system (FIS) and ensemble learning method in reservoir characterisation have been reported. In this study, we proposed an ensemble of multi-model regression framework based on FIS architecture to tackle the challenge of permeability prediction using logs data properties. The study demonstrates the capability of the ensemble model when tested in well log properties which is practical data of Oligocene geological types from Cuu Long basin. Empirical results indicate that our proposed algorithm framework is efficient and has the significant improvement compare to each existing standard single model.
Keywords: neural networks; ANFIS; reservoir permeability prediction; multi-model regression.
International Journal of Intelligent Information and Database Systems, 2018 Vol.11 No.4, pp.255 - 265
Available online: 04 Dec 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article