Determination of Dew Point Pressure With and Without a Visual Cell

By Hosein R.   Mayrhoo R.   Dawe R.  

Petroleum Science and Technology, Vol. 32, Iss. 10, 2014-05 ,pp. : 1150-1159

Taylor & Francis Ltd

Access to resources Recommend Favorite

The Development of a Robust ANFIS Model for Predicting Minimum Miscibility Pressure

By Rahimzadeh Kivi I.   Ameri Shahrabi M. J.   Akbari M. R.  

Petroleum Science and Technology, Vol. 31, Iss. 20, 2013-10 ,pp. : 2039-2046

Taylor & Francis Ltd

Access to resources Recommend Favorite

A Dew Point Pressure Model for Gas Condensate Reservoirs Based on an Artificial Neural Network

By Kaydani H.  

Petroleum Science and Technology, Vol. 31, Iss. 12, 2013-06 ,pp. : 1228-1237

Taylor & Francis Ltd

Access to resources Recommend Favorite

Predicting Bubble-point Pressure and Formation-volume Factor of Nigerian Crude Oil System for Environmental Sustainability

By Obanijesu E. O.   Araromi D. O.  

Petroleum Science and Technology, Vol. 26, Iss. 17, 2008-01 ,pp. : 1993-2008

Taylor & Francis Ltd

Access to resources Recommend Favorite

Predicting weld bead geometry and HAZ width in modified 9Cr-1Mo steel welds using ANFIS-based models

By Jayakumar M. Vasudevan   K.N. Gowtham   T.  

International Journal of Computational Materials Science and Surface Engineerin, Vol. 4, Iss. 3, 2011-10 ,pp. : 205-218

Inderscience Publishers

Access to resources Recommend Favorite