کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1876752 | 1042031 | 2009 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
تشعشع
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network](/preview/png/1876752.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Radiation and Isotopes - Volume 67, Issue 10, October 2009, Pages 1812–1818
Journal: Applied Radiation and Isotopes - Volume 67, Issue 10, October 2009, Pages 1812–1818
نویسندگان
César Marques Salgado, Luis E.B. Brandão, Roberto Schirru, Cláudio M.N.A. Pereira, Ademir Xavier da Silva, Robson Ramos,