Optimization of a flow regime identification system and prediction of volume fractions in three-phase systems using gamma-rays and artificial neural network

Salgado, William Luna; Dam, Roos Sophia de Freitas; Salgado, César Marques

doi:10.1016/j.apradiso.2020.109552

Cited by 21 publications

(1 citation statement)

References 29 publications

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“…In the proposed model, the seawater consists of saltwater with a 4% mass fraction of sodium chloride (NaCl), the same as suggested by Beserra [15] and Salgado [28] in their simulations with MCNP. According to Gouveia [29], for rigid pipelines installed at depths above 1,000 meters, the steel used is API grade X-60 or X-65, with a composition of iron equal to or greater than 95%, as shown in the manufacturer's catalog Tuper [30].…”

Section: Figure 5: Schematic Representation Of the Computational Mode...mentioning

confidence: 99%

Computational analysis for wax detection in deepwater pipelines using nuclear techniques

Leite¹,

Lira²,

Rodríguez

2023

Braz. J. Rad. Sci.

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Wax deposition along the extensive oilfield pipelines is a problem that affects the flow assurance. To solve it, one must monitor the wax formation in its initial stage. In this light, nuclear techniques are an effective alternative solution, as they can detect characteristics of materials or substances in an indirect and non-invasive manner. The present work shows a computational model using the MCNP6 (Monte Carlo N-Particle 6) code and the gamma radiation transmission profiling technique to detect different wax thickness. This fact is directly related to the attenuation of the gamma radiation beam when crossing the wax thicknesses.

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Section: Figure 5: Schematic Representation Of the Computational Mode...mentioning

confidence: 99%

Computational analysis for wax detection in deepwater pipelines using nuclear techniques

Leite¹,

Lira²,

Rodríguez

2023

Braz. J. Rad. Sci.

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show abstract

Selection of effective combination of time and frequency features using PSO-based technique for monitoring oil pipelines

Chen,

Almimi,

Sh. Daoud

et al. 2023

Alexandria Engineering Journal

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Use of gamma radiation and artificial neural network techniques to monitor characteristics of polyduct transport of petroleum by-products

Salgado

Dam

Puertas

et al. 2022

Applied Radiation and Isotopes

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Optimization of a flow regime identification system and prediction of volume fractions in three-phase systems using gamma-rays and artificial neural network

Cited by 21 publications

References 29 publications

Computational analysis for wax detection in deepwater pipelines using nuclear techniques

Computational analysis for wax detection in deepwater pipelines using nuclear techniques

Selection of effective combination of time and frequency features using PSO-based technique for monitoring oil pipelines

Use of gamma radiation and artificial neural network techniques to monitor characteristics of polyduct transport of petroleum by-products

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