Application of neural networks modeling for interpretation of acoustic logging traces
Journal Title: Геофизический журнал - Year 2015, Vol 37, Issue 5
Abstract
The neural networks are proposed for application as a method for automatic P- and S-waves onset time-picking on sonic logging. The neural network models of acoustic emission preceding phase onset are trained and used to discriminate noise and desired signal, the last one being packets of longitudinal and transversal waves. The given algorithm is easily adapted to existing systems and is able to provide both processing of logging tracks in online regime and high productivity of archive materials interpretation.
Authors and Affiliations
M. A. Lazarenko, O. A. Gerasimenko
Keywords
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- EP ID EP531432
- DOI 10.24028/gzh.0203-3100.v37i5.2015.111160
- Views 114
- Downloads 0
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