Flow Zone Indicator Estimation Based on Petrophysical Studies Using an Artificial Neural Network in a Southern Iran Reservoir

By Dezfoolian M. A.  

Petroleum Science and Technology, Vol. 31, Iss. 12, 2013-06 ,pp. : 1294-1305

Taylor & Francis Ltd

Access to resources Recommend Favorite

Interpreting Reservoir Permeabilities from Wireline Formation Test Data

By Du H.  

Petroleum Science and Technology, Vol. 31, Iss. 18, 2013-09 ,pp. : 1819-1826

Taylor & Francis Ltd

Access to resources Recommend Favorite

Porosity and Permeability Prediction Based on Computational Intelligences as Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) in Southern Carbonate Reservoir of Iran

By Zargari H.   Poordad S.   Kharrat R.  

Petroleum Science and Technology, Vol. 31, Iss. 10, 2013-05 ,pp. : 1066-1077

Taylor & Francis Ltd

Access to resources Recommend Favorite

Integrating Artificial Neural Networks Technique and Geostatistical Approaches for 3D Geological Reservoir Porosity Modeling with an Example from One of Iran's Oil Fields

By Esmaeilzadeh Sh.   Afshari A.   Motafakkerfard R.  

Petroleum Science and Technology, Vol. 31, Iss. 11, 2013-06 ,pp. : 1175-1187

Taylor & Francis Ltd

Access to resources Recommend Favorite

Neural Fuzzy System Development for the Prediction of Permeability From Wireline Data Based on Fuzzy Clustering

By Kaydani H.   Mohebbi A.   Baghaie A.  

Petroleum Science and Technology, Vol. 30, Iss. 19, 2012-07 ,pp. : 2036-2045

Taylor & Francis Ltd

Access to resources Recommend Favorite