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Identification of velocity variations in a seismic cube using neural networks

Document type: Objeto de conferencia

Abstract

This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks.

Notes

Applications in Artificial Intelligence - Learning and Neural Nets

General information

Exposure date: agosto 2006
Issue date: agosto 2006
Document language: English
Event: 19 th IFIP World Computer Congress - WCC 2006
Origin: Red de Universidades con Carreras en Informática (RedUNCI)
ISBN: 0-387-34655-4
xmlui.dri2xhtml.METS-1.0.item-dc-subject: Neural nets ; Sismos
Subjects: Ciencias Informáticas

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Created: 14 de noviembre de 2012
Available since: 14 de noviembre de 2012
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  • http://sedici.unlp.edu.ar/handle/10915/24147

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    Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)