Porosity prediction using Fuzzy SVR and FCM SVR from well logs of an oil field in south of Iran

This publication has 23 references indexed in Scilit:

• Prediction of permeability and porosity from well log data using the nonparametric regression with multivariate analysis and neural network, Hassi R’Mel Field, Algeria
  Egyptian Journal of Petroleum, 2017
• Comparative Analysis of K-Means and Fuzzy C-Means Algorithms
  International Journal of Advanced Computer Science and Applications, 2013
• Support vector regression to predict porosity and permeability: Effect of sample size
  Computers & Geosciences, 2012
• Prediction of Hydrocarbon Reservoirs Permeability Using Support Vector Machine
  Mathematical Problems in Engineering, 2012
• Fuzzy linguistic logic programming and its applications
  Theory and Practice of Logic Programming, 2009
• Intelligent approaches for the synthesis of petrophysical logs
  Journal of Geophysics and Engineering, 2007
• Fuzzy support vector machines
  IEEE Transactions on Neural Networks, 2002
• Financial time series prediction using least squares support vector machines within the evidence framework
  IEEE Transactions on Neural Networks, 2001
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
  Journal of Cybernetics, 1973
• Fuzzy sets
  Information and Control, 1965