The experience in applying Kolmogorov's mapping neural network predicting effective thickness maps and a volumetric model of a clinoform reservoir in Western Siberia

2021 ◽  
pp. 11-15
Author(s):  
D.S. Bryushina ◽  
◽  
A.A. Spirin ◽  
I.I. Priezzhev ◽  
A.S. Khaydarov ◽  
...  
Keyword(s):  
Neural Network ◽  
Western Siberia ◽  
Effective Thickness ◽  
Volumetric Model

scholarly journals Application of neural network technology to calculate well logging porosity on the example of UK2-7 formations in the Yelizarovsky deflection (Western Siberia)

2021 ◽  
Vol 266 ◽  
pp. 07005
Author(s):  
E.A. Lisovskaya ◽  
B.V. Platov
Keyword(s):  
Neural Network ◽  
Western Siberia ◽  
Oil And Gas ◽  
Well Logging ◽  
Network Technology ◽  
The West ◽  
The Neural Network ◽  
The Uk ◽  
Porosity Estimation ◽  
Neural Network Technology

The article describes the use of an artificial neural network to calculate porosity in the West Siberian oil and gas province for the UK2–7 strata. The estimated porosity was compared with core porosity data. Correlation coefficient between core samples porosity and well logging porosity (using the neural network) showed higher values in comparison with traditional methods of porosity estimation.

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural
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