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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Detalles Bibliográficos

Principais autores:	Jorge Alberto Leal, Luis Hernan Ochoa, Carmen Cecilia Contreras
Formato:	Artigo
Idioma:	Inglês
Publicado:	Universidad Nacional de Colombia 2018-04-01
Series:	Earth Sciences Research Journal
Assuntos:	machine learning support vector machines borehole logs image logs fractal dimension calcareous lithologies Catatumbo Basin.
Acceso en liña:	https://revistas.unal.edu.co/index.php/esrj/article/view/68320
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