Neural network modelling and classification of lithofacies using well log data: a case study from KTB borehole site
Author:
Publisher
Oxford University Press (OUP)
Subject
Geochemistry and Petrology,Geophysics
Link
http://academic.oup.com/gji/article-pdf/169/2/733/5908757/169-2-733.pdf
Reference44 articles.
1. Inversion of nuclear well-logging data using neural networks;Aristodemou;Geophys. Prospect,2005
2. Application of neural network to the problem of mineral identification from well logs;Baldwin;The Log Analyst,1990
3. What size network gives valid generalization?;Baum;Neural Comp,1989
4. Inferring the lithology of borehole rocks by applying neural network classifiers to downwhole logs: an example from the Ocean Drilling Program;Benaouda;Geophys. J. Int.,1999
5. Petrophysical properties of the 9-km deep crustal selection at KTB;Berckhemer;J. geophys. Res.,1997
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