1.
Appl Radiat Isot
; 67(10): 1812-8, 2009 Oct.
Artigo
em Inglês
| MEDLINE
| ID: mdl-19356939
RESUMO
This work presents methodology based on nuclear technique and artificial neural network for volume fraction predictions in annular, stratified and homogeneous oil-water-gas regimes. Using principles of gamma-ray absorption and scattering together with an appropriate geometry, comprised of three detectors and a dual-energy gamma-ray source, it was possible to obtain data, which could be adequately correlated to the volume fractions of each phase by means of neural network. The MCNP-X code was used in order to provide the training data for the network.