Application of wavelet characteristics and gmdh neural networks for precise estimation of oil product types and volume fractions

Given that one of the most critical operations in the oil and gas industry is to instantly determine the volume and type of product passing through the pipelines, in this research, a detection system for monitoring oil pipelines is proposed. The proposed system works in such a way that the radiation...

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Autores:
Mayet, Abdulilah
Alizadeh, Mehdi
Mohammad Hamakarim, Karwan
Al-Qahtani, Ali Awadh
Alanazi, Abdullah
Grimaldo Guerrero, John William
alhashim, Hala
Eftekhari-Zadeh, Ehsan
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9548
Acceso en línea:
https://hdl.handle.net/11323/9548
https://repositorio.cuc.edu.co/
Palabra clave:
Volume fraction
Feature extraction
GMDH neural network
Dual-energy gamma source
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)