Non-linear feature selection-based hybrid computational intelligence models for improved natural gas reservoir characterization

Author:

Anifowose Fatai AdesinaORCID,Labadin Jane,Abdulraheem Abdulazeez

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference54 articles.

1. Innovative data-driven permeability prediction in a heterogeneous reservoir;Al-Anazi,2009

2. Support vector regression to predict porosity and permeability: effect of sample size;Al-Anazi;Comput. Geosci.,2012

3. Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells;Amaefule,1993

4. Petroleum Reservoir Engineering, Physical Properties;Amyx,1960

5. A functional networks-type-2 fuzzy logic hybrid model for the prediction of porosity and permeability of oil and gas reservoirs;Anifowose,2010

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