Permeability determination of cores based on their apparent attributes in the Persian Gulf region using Navie Bayesian and Random forest algorithms

Author:

Behnoud far Pouria,Hosseini Pantea,Azizi Ali

Publisher

Elsevier BV

Subject

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

Reference24 articles.

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

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3. Application of artificial neural networks for reservoir characterization with limited data;Aminian;J. Pet. Sci. Eng.,2005

4. Comparative evaluation of back-propagation neural network learning algorithms and empirical correlations for prediction of oil PVT properties in Iran oilfields;Asadisaghandi;J. Pet. Sci. Eng.,2011

5. Prediction of permeability in a tight gas reservoir by using three soft computing approaches: a comparative study;Baziar;J. Nat. Gas Sci. Eng.,2014

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