Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks

Abouelwafa, 1980, The measurement of component ratios in multiphase systems using gamma-ray attenuation, Journal of Physics E: Scientific Instruments, 13, 341, 10.1088/0022-3735/13/3/022

Åbro, 1998, A radiation transport model as a design tool for gamma densitometers, Nuclear Instruments and Methods in Physics Research, A431, 347

Åbro, 1999, Determination of void fraction and flow regime using a neural network trained on simulated data based on gamma-ray densitometry, Measurement Science and Technology, 10, 619, 10.1088/0957-0233/10/7/308

Berger, 1972, Response functions for sodium iodide scintillation detectors, Nuclear Instruments and Methods, 104, 317, 10.1016/0029-554X(72)90543-5

Bishop, 1992, Analysis of multiphase flows using dual-energy gamma densitometry and neural networks, Nuclear Instruments and Methods A, 327, 580, 10.1016/0168-9002(93)90728-Z

Chauvin, Y., Rumelhart D.E., 1995. Backpropagation Theory, Architectures and Applications.

Haojiang, 2001, Intelligent identification system of flow regime of oil–gas–water multiphase flow, International Journal of Multiphase Flow, 27, 459, 10.1016/S0301-9322(00)00022-7

Haykin, S., 1999. Neural Networks: A Comprehensive Foundation Prentice Hall 2nd edition.

Hussein, 1995, Phase volume-fraction measurement in oil–water–gas flow using fast neutrons, Nuclear Geophysics, 9, 229

Jin, 2003, Characterization of oil/water two-phase flow patterns based on nonlinear time series analysis, Flow Measurement and Instrumentation, 14, 169, 10.1016/S0955-5986(03)00022-0

Johansen, 2000, Salinity independent measurement of gas volume fraction in oil/gas/water pipe flows, Applied Radiation and Isotopes, 53, 595, 10.1016/S0969-8043(00)00232-3

Johansen, G.A., Froystein, T., Hjertaker, B.T., Isaksen, Ø., Olsen, Ø., Strandos, S.K., Olsen, T.S., Åbro, E., Mckibben, B., Heggstad, S. and Hammer, E., 1994. The design of a dual mode tomography for three-component flow imaging. In: Proceedings of European Concerted Action of Process Tomography (ECAPT), Oporto, Portugal, March, pp. 24–27.

Mi, 1997, Application of multiple self-organizing neural networks: flow pattern classification, Transactions of the American Nuclear Society, 77, 114

Mi, 1998, Vertical two-phase flow identification using advanced instrumentation and neural networks, Nuclear Engineering and Design, 184, 409, 10.1016/S0029-5493(98)00212-X

Orion, 2002, Limitations in the PHOTON Monte Carlo gamma transport code, Nuclear Instruments and Methods in Physics Research A, 480, 729, 10.1016/S0168-9002(01)01226-8

Pelowitz, 2005

Saito, 1981, Monte Carlo calculation of accurate response functions for a NaI(Tl) detector for gamma rays, Nuclear Instruments and Methods, 185, 299, 10.1016/0029-554X(81)91225-8

Salgado C.M., Brandão L.E., Schirru, R., Pereira, C.M.N.A., Ramos, R., Silva, A.X., 2007. Study of volume fractions for stratified and annular regime in multiphase flows using gamma-rays and artificial neural network. In: 5th International Nuclear Atlantic Conference – INAC, Santos, SP, BR.

Salgado, 2008

Salgado, 2009, Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network, Applied Radiation and Isotopes

Shi, 2002, Precise Monte Carlo simulation of gamma-ray response functions for a NaI(Tl) detector, Applied Radiation and Isotopes, 57, 517, 10.1016/S0969-8043(02)00140-9

Sood, 2004, A new Monte Carlo assisted approach to detector response functions, Nuclear Instruments and Methods in Physics Research Section B, 213, 100, 10.1016/S0168-583X(03)01540-4

Tjugum, 2001, The use of gamma radiation in fluid flow measurements, Radiation Physics and Chemistry, 61, 797, 10.1016/S0969-806X(01)00408-X

Tjugum, 2002, A compact low energy multibeam gamma-ray densitometer for pipe-flow measurements, Nuclear Instruments and Methods in Physics Research B, 197, 301, 10.1016/S0168-583X(02)01481-7

X-5 Monte Carlo Team, 2003