Related references
Note: Only part of the references are listed.A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation
Pejman Tahmasebi et al.
COMPUTERS & GEOSCIENCES (2012)
Estimation of permeability using artificial neural networks and regression analysis in an Iran oil field
Abdideh et al.
International Journal of Physical Sciences (2012)
Prediction of Hydrocarbon Reservoirs Permeability Using Support Vector Machine
R. Gholami et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2012)
Artificial neural networks workflow and its application in the petroleum industry
N. I. Al-Bulushi et al.
NEURAL COMPUTING & APPLICATIONS (2012)
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
Sunday Olusanya Olatunji et al.
COMPUTERS IN INDUSTRY (2011)
A Novel Connectionist System for Unconstrained Handwriting Recognition
Alex Graves et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
A novel model for permeability prediction in uncored wells
E. M. El-M. Shokir
SPE RESERVOIR EVALUATION & ENGINEERING (2006)
Reservoir properties determination using fuzzy logic and neural networks from well data in offshore Korea
JS Lim
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2005)
The role of electrofacies, lithofacies, and hydraulic flow units in permeability prediction from well logs: A comparative analysis using classification trees
HH Perez et al.
SPE RESERVOIR EVALUATION & ENGINEERING (2005)
Predicting permeability from well logs in carbonates with a link to geology for interwell permeability mapping
JW Jennings et al.
SPE RESERVOIR EVALUATION & ENGINEERING (2003)