loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Nuri Hurtado 1 ; Vincenzo Costanzo-Álvarez 2 ; Diego López-Rodríguez 1 ; Milagrosa Aldana 2 and Germán Bayona 3

Affiliations: 1 Universidad Central de Venezuela, Venezuela ; 2 Universidad Simón Bolívar, Venezuela ; 3 Corporación Geológica Ares, Colombia

Keyword(s): Neuro Fuzzy System, Lithostratigraphic Units, Pattern Recognition.

Abstract: In this work we employ the Neuro Fuzzy System hybrid algorithm to infer S-ratio through the experimental magnetic susceptibility data measured in 90 samples, from a 670 meters - thick sedimentary sequence, at the stratigraphic well Saltarin 1A (Colombia). The method is applied here as a means for pattern recognition of the major lithostratigraphic units encompassed by this well (i.e. Guayabo, León and Cabonera Miocene Formations). The sets of fuzzy rules obtained work well only when used to infer S-ratios within the same Formation from which they were derived. This is particularly noticeable in Guayabo, with lithological characteristics different to those of León and Carbonera. The contrasts between these three Formations seem to be responsible for the inability of finding a unique set of fuzzy rules that could properly infer S-ratio over the whole well using experimental magnetic susceptibility data only as the input variable.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.135.205.231

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hurtado, N.; Costanzo-Álvarez, V.; López-Rodríguez, D.; Aldana, M. and Bayona, G. (2013). Characterization of Lithostratigraphic Units using Neuro Fuzzy System Analyses Applied to Rock Magnetic Data. In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013) - PRG; ISBN 978-989-8565-41-9; ISSN 2184-4313, SciTePress, pages 686-689. DOI: 10.5220/0004377706860689

@conference{prg13,
author={Nuri Hurtado. and Vincenzo Costanzo{-}Álvarez. and Diego López{-}Rodríguez. and Milagrosa Aldana. and Germán Bayona.},
title={Characterization of Lithostratigraphic Units using Neuro Fuzzy System Analyses Applied to Rock Magnetic Data},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013) - PRG},
year={2013},
pages={686-689},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004377706860689},
isbn={978-989-8565-41-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013) - PRG
TI - Characterization of Lithostratigraphic Units using Neuro Fuzzy System Analyses Applied to Rock Magnetic Data
SN - 978-989-8565-41-9
IS - 2184-4313
AU - Hurtado, N.
AU - Costanzo-Álvarez, V.
AU - López-Rodríguez, D.
AU - Aldana, M.
AU - Bayona, G.
PY - 2013
SP - 686
EP - 689
DO - 10.5220/0004377706860689
PB - SciTePress