Search Results - "Salgado, William Luna"
-
1
A novel radioactive particle tracking algorithm based on deep rectifier neural network
Published in Nuclear engineering and technology (01-07-2021)“…Radioactive particle tracking (RPT) is a minimally invasive nuclear technique that tracks a radioactive particle inside a volume of interest by means of a…”
Get full text
Journal Article -
2
A novel radioactive particle tracking algorithm based on deep rectifier neural network
Published in Nuclear engineering and technology (2021)“…Radioactive particle tracking (RPT) is a minimally invasive nuclear technique that tracks a radioactive particle inside a volume of interest by means of a…”
Get full text
Journal Article -
3
Study of volume fractions on biphasic stratified regime using gamma ray
Published in Brazilian Journal of Radiation Sciences (25-06-2019)“…In the oil industries, interconnected pipelines are used to carry large quantities of petroleum and its byproducts. This modal has an advantage because they…”
Get full text
Journal Article -
4
Source-detector effective solid angle calculation using MCNP6 code
Published in Brazilian Journal of Radiation Sciences (30-04-2021)“…Nuclear techniques based on the attenuation of gamma radiation are used in the industry to calculate flow rate, determine fluid density, predict inorganic…”
Get full text
Journal Article -
5
Volume fractions calculation of a biphasic system on cylindrical tube using gamma ray and MCNP6 code
Published in Brazilian Journal of Radiation Sciences (30-04-2021)“…Be determined which is the volumetric fraction. This paper presents a methodology to calculate volumetric fractions on the stratified flow regime, considering…”
Get full text
Journal Article -
6
USE OF MONTE CARLO SIMULATIONS FOR OPTIMAL GEOMETRY STUDY IN CALCULATION OF ATTENUATION COEFFICIENT FOR ELEMENT, COMPOUND AND MIXTURE
Published in Brazilian Journal of Radiation Sciences (30-04-2021)“…MCNP is a code extensively used to simulate experiments involving transport of radiation using the Monte Carlo method. This code allows the study of different…”
Get full text
Journal Article -
7
Use of the Grubbs test to study the homogeneity of a NaI(Tl) detector
Published in Brazilian Journal of Radiation Sciences (30-04-2021)“…The NaI(Tl) detector is one of the most used in gamma ray spectrometry because it presents high counting efficiency for gamma rays in a wide range of energy…”
Get full text
Journal Article -
8
Application of deep neural network and gamma-ray scattering in eccentric scale calculation regardless of the fluids volume fraction inside a pipeline
Published in Applied radiation and isotopes (01-10-2022)“…Scale formation is one of the major problems in the oil industry as it can accumulate on the surface of the pipelines, which could even fully block the fluids’…”
Get full text
Journal Article -
9
A comparative study of a traditional localization algorithm and a deep learning model for radioactive particle tracking application
Published in Applied radiation and isotopes (01-03-2024)“…Radioactive particle tracking is a nuclear technique that tracks a sealed radioactive particle inside a volume through a mathematical location algorithm, which…”
Get full text
Journal Article -
10
Calculation of scales in oil pipeline using gamma-ray scattering and artificial intelligence
Published in Measurement : journal of the International Measurement Confederation (01-07-2021)“…•The proposed geometry composes gamma-rays and two NaI(Tl) detectors.•Different thicknesses and relative positions of scale for the annular flow regime were…”
Get full text
Journal Article -
11
Predicting scale thickness in three-phase flow using neutron activation analysis and deep learning
Published in Measurement : journal of the International Measurement Confederation (01-01-2025)“…•Calcium carbonate scales reduce pipe diameter, obstructing fluid flow in oil and gas production.•Proposed method predicts scale thickness using neutron source…”
Get full text
Journal Article -
12
Void fraction prediction using prompt gamma neutron activation analysis and artificial intelligence
Published in Radiation physics and chemistry (Oxford, England : 1993) (01-12-2023)Get full text
Journal Article -
13
Application of radioactive particle tracking and an artificial neural network to calculating the flow rate in a two-phase (oil–water) stratified flow regime
Published in Applied radiation and isotopes (01-02-2022)“…A multiphase flow is defined as the transport of two or more fluids with different properties flowing together inside a pipeline. After offshore oil…”
Get full text
Journal Article -
14
Prediction of fluids volume fraction and barium sulfate scale in a multiphase system using gamma radiation and deep neural network
Published in Applied radiation and isotopes (01-11-2023)“…In the oil industry, during the production of oil and gas, barium sulfate (BaSO4) scale may occur on the inner walls of the pipelines leading to the reduction…”
Get full text
Journal Article -
15
Experimental and simulated methods to characterize the response of a scintillator detector
Published in Radiation physics and chemistry (Oxford, England : 1993) (01-03-2022)“…The NaI(Tl) detector is one of the most used in gamma ray spectrometry because it presents high counting efficiency for gamma rays in a wide energy range. This…”
Get full text
Journal Article -
16
Application of deep neural network and gamma radiation to monitor the transport of petroleum by-products through polyducts
Published in Applied radiation and isotopes (01-10-2023)“…To continuously monitor information about the transport of fluids by sequential batches in polyduct, found in the petrochemical industry, it is necessary to…”
Get full text
Journal Article -
17
Development of a correlator for flow measurement in pipelines using gamma radiation and cross-correlation function
Published in Flow measurement and instrumentation (01-10-2023)“…Measuring water consumption by different users (industrial, agricultural, urban) is essential, since in many countries water royalties per consumer are…”
Get full text
Journal Article -
18
Three-phase flow meters based on X-rays and artificial neural network to measure the flow compositions
Published in Flow measurement and instrumentation (01-12-2021)“…The methodology presented in this study is based on a 149.5 keV X-ray beam and two planar germanium detectors for X-ray transmission and scattering…”
Get full text
Journal Article -
19
Thickness prediction in metal alloys using nuclear techniques and artificial neural network: Modelling
Published in Applied radiation and isotopes (01-01-2023)“…Metal alloys are widely used in the aerospace, biological, civil and automotive industries, thus being very important to develop techniques to identify these…”
Get full text
Journal Article -
20
Optimization of radioactive particle tracking methodology in a single-phase flow using MCNP6 code and artificial intelligence methods
Published in Flow measurement and instrumentation (01-04-2021)“…A recent investigation proposed a simulated radioactive particle tracking (RPT) system using eight scintillator detectors in order to predict instantaneous…”
Get full text
Journal Article