Application of artificial intelligence in scale thickness prediction on offshore petroleum using a gamma-ray densitometer-Reference-Cited by-同舟云学术

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Application of artificial intelligence in scale thickness prediction on offshore petroleum using a gamma-ray densitometer

Published:2020-03 Issue: Volume:168 Page:108549
ISSN:0969-806X
Container-title:Radiation Physics and Chemistry
language:en
Short-container-title:Radiation Physics and Chemistry

Author:

Salgado William L.,Dam Roos Sophia de F.,Teixeira Tâmara P.,Conti C.C.,Salgado C.M.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Comissão Nacional de Energia Nuclear

Publisher

Elsevier BV

Subject

Radiation

Reference48 articles.

1. Determination of wax deposition and corrosion in pipelines by neutron back diffusion collimation and neutron capture gamma-rays;Abdul-Majid;Appl. Radiat. Isot.,2013

2. The measurement of component ratios in multiphase systems using gamma-ray attenuation;Abouelwafa;J. Phys. E Sci. Instrum.,1980

3. An X-ray Compton scatter method for density measurement at a point within an object;Achmad;Appl. Radiat. Isot.,2004

4. Prediction the amount of Barium Sulfate scale formation in Siri oilfield using OLI ScaleChem software;Amiri;Asian Journal of Scientific Research,2010

5. Estimation of potential barium sulfate (barite) precipitation in oilfield brines using a simple predictive tool;Bahadori;Environ. Prog. Sustain. Energy,2013

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2. Calcium carbonate scale thickness prediction in annular three-phase flow using gamma-ray densitometry and artificial neural networks;Radiation Physics and Chemistry;2024-10

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4. Application of artificial neural network to multiphase flow metering: A review;Flow Measurement and Instrumentation;2024-07

5. Application of frequency characteristic extraction in increasing the accuracy of X-ray based thickness gauges used for aluminum alloys employing GMDH neural network;Applied Radiation and Isotopes;2024-06

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