Computers and Geosciences, 2000, V 26, N 8.

pp 867
Applications of virtual intelligence to petroleum engineering
S. Mohaghegh

pp 869-875
Reservoir parameter estimation using a hybrid neural network
F. Aminzadeh, J. Barhen, C.W. Glover, N.B. Toomarian

pp 877-905
Fractal-wavelet neural-network approach to characterization and
upscaling of fractured reservoirs
M. Sahimi

pp 907-913
Multiple permeability predictions using an observational learning
algorithm
P.M. Wong, M. Jang, S. Cho, T.D. Gedeon

pp 915-925
Using artificial intelligence to predict permeability from
petrographic data
M. Ali, A. Chawathe^1

pp 927-939
Design optimum frac jobs using virtual intelligence techniques
S. Mohaghegh, A. Popa, S. Ameri

pp 941-951
The use of artificial neural networks in completion stimulation and
design
B. Shelley, S. Stephenson

pp 953-962
Practical application of fuzzy logic and neural networks to fractured
reservoir characterization
A. Ouenes

pp 963-973
Field development studies by neuro-simulation: an effective coupling
of soft and hard computing protocols
H. Doraisamy, T. Ertekin, A.S. Grader

pp 975-987
Non-parametric regression and neural-network infill drilling recovery
models for carbonate reservoirs
C.H. Wu, R.D. Soto, P.P. Valko, A.M. Bubela