Application of neural networks modeling for interpretation of acoustic logging traces
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 longitudin...
Збережено в:
Дата: | 2015 |
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Автори: | , |
Формат: | Стаття |
Мова: | rus |
Опубліковано: |
Subbotin Institute of Geophysics of the NAS of Ukraine
2015
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Теми: | |
Онлайн доступ: | https://journals.uran.ua/geofizicheskiy/article/view/111160 |
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Назва журналу: | Geofizicheskiy Zhurnal |