The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows

The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows

M. M. F. Figueiredo, J. L. Gonçalves, A. M. V. Nakashima, A. M. F. Fileti, R. D. M. Carvalho

ARTIGO

Inglês

Agradecimentos: The authors gratefully acknowledge PETROBRAS for the financial support through Grant FUNCAMP 46088, and PRH/ANP, FAPESP, and CNPq for the scholarships

In the oil industry, the well stream often consists of a full range of hydrocarbons and a variety of non-wanted components such as water, carbon dioxide, salts, sulfur, and sand. The need for multiphase flow metering (MFM) arises when it is necessary or desirable to meter the flow upstream of the...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows

M. M. F. Figueiredo, J. L. Gonçalves, A. M. V. Nakashima, A. M. F. Fileti, R. D. M. Carvalho


										

The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows

M. M. F. Figueiredo, J. L. Gonçalves, A. M. V. Nakashima, A. M. F. Fileti, R. D. M. Carvalho

    Fontes

    Experimental thermal and fluid science

    Vol. 70 (2016), p. 29-50