Automatic Identification of Calcareous Lithologies Using Support Vector Machines, Borehole Logs and Fractal Dimension of Borehole Electrical Imaging

Automatic Identification of Calcareous Lithologies Using Support Vector Machines, Borehole Logs and Fractal Dimension of Borehole Electrical Imaging

In this research algorithms of support vector machine (SVM) and a logic function were applied to identify automatically sections of carbonate rocks in wells located in the former Barco Concession, Catatumbo Basin - Colombia. During training stages the SVMs use neutron, photoelectric factor and gamma...

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Bibliographic Details
Main Authors: Jorge Alberto Leal, Luis Hernan Ochoa, Carmen Cecilia Contreras
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2018-04-01
Series:Earth Sciences Research Journal
Subjects:
machine learning
support vector machines
borehole logs
image logs
fractal dimension
calcareous lithologies
Catatumbo Basin.
Online Access:https://revistas.unal.edu.co/index.php/esrj/article/view/68320

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https://revistas.unal.edu.co/index.php/esrj/article/view/68320

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