Identification of velocity variations in a seismic cube using neural networks

Cersósimo, Darío Sergio et al · RI ITBA · 2018

Open-access full text

Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Author / responsible party

Cersósimo, Darío Sergio et al

Publisher

RI ITBA

Year

2018

ISSN

1868-4238

ISSN

1868-4238

Language

English

Resource access

Open the content from the main option or choose another available source.

RI ITBA RI ITBA OAI-PMH

Entrar por RI ITBA

Main access

Open-access full text

Texto completo identificado como acceso abierto.

Open text

Otras opciones de acceso Elegí el proveedor disponible para esta ficha.

RI ITBA OAI-PMH

Acceder por RI ITBA OAI-PMH

Summary

Descripción general del contenido del recurso.

"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."

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Cersósimo, D. S. E. A. (2018). Identification of velocity variations in a seismic cube using neural networks. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/1254

MLA

Cersósimo, Darío Sergio et al. Identification of velocity variations in a seismic cube using neural networks. RI ITBA, 2018. http://ri.itba.edu.ar/handle/20.500.14769/1254.

Chicago

Cersósimo, Darío Sergio et al. 2018. Identification of velocity variations in a seismic cube using neural networks. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/1254.

Harvard

Cersósimo, D. S. E. A. 2018, Identification of velocity variations in a seismic cube using neural networks, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/1254 [Accessed 9 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

RIS BibTeX

Resource details

Bibliographic information to help confirm that this is the correct material.

Title: Identification of velocity variations in a seismic cube using neural networks

Author / contributors: Cersósimo, Darío Sergio et al

Publisher: RI ITBA

Publication year: 2018

ISSN: 1868-4238

ISSN: 1868-4238

Language: English

Subjects

Explore related resources through these subjects.

REDES NEURONALES; PERFORACION DE POZOS