Well Log Analysis for Lithology Identification Using Self-Organizing Map (SOM)

Authors

  • ODESANYA, Ituabhor Federal University Lokoja, Kogi State,
  • Ogbamikhumi, Alexander University of Benin,
  • Azi, O. Samuel University of Benin,

DOI:

https://doi.org/10.53555/ans.v2i3.110

Keywords:

Well log,, unsupervised neural network,, Self-Organizing Map (SOM), , lithology, fuzzy inferenc e rules)

Abstract

This paper employed unsupervised neural network and fuzzy inference system to identify the lithology o
f a well log data obtained from the Niger-Delta region of Nigeria. Sixteen fuzzy rules was proposed based
on the output of the SOM clustering. The results obtained were analyzed.

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Author Biographies

ODESANYA, Ituabhor, Federal University Lokoja, Kogi State,

Department of Physics

Ogbamikhumi, Alexander, University of Benin,

Department of Geology

Azi, O. Samuel, University of Benin,

Department of Physics

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Published

2016-03-31

How to Cite

Ituabhor, O., Alexander, O., & Samuel, A. O. (2016). Well Log Analysis for Lithology Identification Using Self-Organizing Map (SOM). International Journal For Research In Applied And Natural Science, 2(3), 25–32. https://doi.org/10.53555/ans.v2i3.110

Issue

Vol. 2 No. 3 (2016): International Journal For Research In Applied And Natural Science

Section

Articles