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...
- Autores:
-
Leal, Jorge Alberto
Ochoa, Luis Hernan
Contreras, Carmen Cecilia
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/68581
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/68581
http://bdigital.unal.edu.co/69614/
- Palabra clave:
- 55 Ciencias de la tierra / Earth sciences and geology
aprendizaje de máquinas
máquinas de soporte vectorial
registros de pozo
registro de imágenes
dimensión fractal
litologías calcáreas
Cuenca de Catatumbo.
machine learning
support vector machines
borehole logs
image logs
fractal dimension
calcareous lithologies
Catatumbo Basin.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional