Petrophysical Parameters Estimation from Well-Logs Data Using Multilayer Perceptron and Radial Basis Function Neural Networks-Reference-Cited by-同舟云学术

Petrophysical Parameters Estimation from Well-Logs Data Using Multilayer Perceptron and Radial Basis Function Neural Networks

Published:2012 Issue: Volume: Page:730-736
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Aliouane Leila,Ouadfeul Sid-Ali,Djarfour Noureddine,Boudella Amar

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-34500-5_86

Reference6 articles.

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2. Lim, S.L.: Reservoir properties determination using fuzzy logic and neural networks from welldata in offshore Korea. Journal of Petroleum Science and Engineering 49, 182–192 (2005)

3. Aminian, K., Ameri, S.: Application of artificial neural networks for reservoir characterization with limited data. Journal of Petroleum Science and Engineering 49, 212–222 (2005)

4. Aminzadeh, F., Barhen, J., Glover, C.W., Toomarian, N.: Estimation of reservoir parameter using a hybrid neural network. Journal of Petroleum Science and Engineering 24, 49–56 (1999)

5. Powell, M.J.D.: Radial Basis Functions for Multivariable Interpolation: A Review in IMA Conference on Algorithms for the Approximation of Functions and Data, pp. 143–167. RMCS, Shirvenham (1985)

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