Work

Inorganic scale thickness prediction in oil pipelines by gamma-ray attenuation and artificial neural network

Year: 2018

Type: article

Source: Applied Radiation and Isotopes

DOI: 10.1016/j.apradiso.2018.08.008

Authors: Tâmara P. Teixeira, César M. Salgado, Roos Sophia de F. Dam, William L. Salgado

Institutions: Nuclear Engineering Institute, National Nuclear Energy Commission

Language: English

Topic: Nuclear Physics and Applications

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Comissão Nacional de Energia Nuclear

OpenAlex ID: W2887915696

FWCI: 2.593

Cites: 13

Cited by: 19

Related to: 10