Author： Khaz'ali A. R.
Publisher： Taylor & Francis Ltd
ISSN： 1091-6466
Source： Petroleum Science and Technology, Vol.29, Iss.15, 2011-01, pp. : 1603-1614
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
The reservoir rock relative permeability values are measured through the Special Core Analysis Laboratory (SCAL) experiments. Because SCAL experiments are expensive and time-consuming, usually a mathematical model is developed to estimate the relative permeability values whereas no SCAL test has been run. The authors compare the accuracy of the Artificial Neural Network (ANN) and some empirical equations in estimating the two-phase relative permeability values. The final results indicate that ANN is a much more accurate approach than the empirical equations.
Related content
The Prediction of Permeability Using an Artificial Neural Network System
By Pazuki G. R.
Petroleum Science and Technology, Vol. 30, Iss. 20, 2012-10 ,pp. :
Access to resources
Recommend
By Gaitonde Vinayak Karnik S. Figueira Luis Davim J.
The International Journal of Advanced Manufacturing Technology, Vol. 52, Iss. 1-4, 2011-01 ,pp. :