相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Flow regime and volume fraction identification using nuclear techniques, artificial neural networks and computational fluid dynamics
Renato R. W. Affonso et al.
APPLIED RADIATION AND ISOTOPES (2020)
Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods
Robert Hanus et al.
FLOW MEASUREMENT AND INSTRUMENTATION (2018)
A novel method for flow pattern identification in unstable operational conditions using gamma ray and radial basis function
G. H. Roshani et al.
APPLIED RADIATION AND ISOTOPES (2017)
Optimization of a method for identifying the flow regime and measuring void fraction in a broad beam gamma-ray attenuation technique
E. Nazemi et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2016)
Precise Void Fraction Measurement in Two-phase Flows Independent of the Flow Regime Using Gamma-ray Attenuation
E. Nazemi et al.
NUCLEAR ENGINEERING AND TECHNOLOGY (2016)
Flow regime identification and void fraction prediction in two-phase flows based on gamma ray attenuation
G. H. Roshani et al.
MEASUREMENT (2015)
Precise volume fraction prediction in oil-water-gas multiphase flows by means of gamma-ray attenuation and artificial neural networks using one detector
G. H. Roshani et al.
MEASUREMENT (2014)
Salinity independent volume fraction prediction in annular and stratified (water-gas-oil) multiphase flows using artificial neural networks
Cesar M. Salgado et al.
PROGRESS IN NUCLEAR ENERGY (2014)
Developing a gamma ray fluid densitometer in petroleum products monitoring applications using Artificial Neural Network
M. Khorsandi et al.
RADIATION MEASUREMENTS (2013)
Validation of a NaI(Tl) detector's model developed with MCNP-X code
C. M. Salgado et al.
PROGRESS IN NUCLEAR ENERGY (2012)
Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks
Cesar Marques Salgado et al.
PROGRESS IN NUCLEAR ENERGY (2010)
Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network
Cesar Marques Salgado et al.
APPLIED RADIATION AND ISOTOPES (2009)
A new Monte Carlo assisted approach to detector response functions
A Sood et al.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS (2004)
Characterization of oil/water two-phase flow patterns based on nonlinear time series analysis
ND Jin et al.
FLOW MEASUREMENT AND INSTRUMENTATION (2003)
A compact low energy multibeam gamma-ray densitometer for pipe-flow measurements
SA Tjugum et al.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS (2002)
Precise Monte Carlo simulation of gamma-ray response functions for an NaI(Tl) detector
HX Shi et al.
APPLIED RADIATION AND ISOTOPES (2002)
Limitations in the PHOTON Monte Carlo gamma transport code
I Orion et al.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2002)
The use of gamma radiation in fluid flow measurements
SA Tjugum et al.
RADIATION PHYSICS AND CHEMISTRY (2001)
Intelligent identification system of flow regime of oil-gas-water multiphase flow
HJ Wu et al.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2001)
Salinity independent measurement of gas volume fraction in oil/gas/water pipe flows
GA Johansen et al.
APPLIED RADIATION AND ISOTOPES (2000)