A Local Linear Neurofuzzy Model for the Prediction of Permeability from Well-log Data in Carbonate Reservoirs

By Aghbelagh Y. Beiraghdar   Nabi-Bidhendi M.   Lucas C.  

Petroleum Science and Technology, Vol. 31, Iss. 5, 2013-03 ,pp. : 448-457

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Predicting Porosity by Using Seismic Multi-Attributes and Well Data and Combining These Available Data by Geostatistical Methods in a South Iranian Oil Field

By Jalalalhosseini S. M.   Ali H.   Mostafazadeh M.  

Petroleum Science and Technology, Vol. 32, Iss. 1, 2014-01 ,pp. : 29-37

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The Prediction of Permeability From Well Logging Data Based on Reservoir Zoning, Using Artificial Neural Networks in One of an Iranian Heterogeneous Oil Reservoir

By Mohebbi A.  

Petroleum Science and Technology, Vol. 30, Iss. 19, 2012-07 ,pp. : 1998-2007

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The Application of an Artificial Neural Network (ANN) and a Genetic Programming Neural Network (GPNN) for the Modeling of Experimental Data of Slim Tube Permeability Reduction by Asphaltene Precipitation in Iranian Crude Oil Reservoirs

By Manshad A. Khaksar  

Petroleum Science and Technology, Vol. 30, Iss. 23, 2012-12 ,pp. : 2450-2459

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Production Data Analysis of Horizontal Wells Using Vertical Well Decline Models, a Field Case Study of an Oil Field

By Zareenejad M. H.   Ghanavati M.   Asl A. Kalantri  

Petroleum Science and Technology, Vol. 32, Iss. 4, 2014-02 ,pp. : 418-425

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