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

Taylor & Francis Ltd

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Geostatistical Modeling of Spatial Distribution of Porosity in the Asmari Reservoir of Mansuri Oil Field in Iran

By Nazarpour A.   Shadizadeh S. R.   Zargar G.  

Petroleum Science and Technology, Vol. 32, Iss. 11, 2014-06 ,pp. : 1274-1282

Taylor & Francis Ltd

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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

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Modeling and Optimizing Rate of Penetration Using Intelligent Systems in an Iranian Southern Oil Field (Ahwaz Oil Field)

By Arabjamaloei R.  

Petroleum Science and Technology, Vol. 29, Iss. 16, 2011-07 ,pp. : 1637-1648

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A comparison of different methods for head measurements

By Luximon Yan   Ball Roger MacLaren  

International Journal of Human Factors Modelling and Simulation, Vol. 2, Iss. 4, 2011-01 ,pp. : 257-266

Inderscience Publishers

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