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Calculation of volume fractions regardless scale deposition in the oil industry pipelines using feed-forward multilayer perceptron artificial neural network and MCNP6 code

César Marques Salgado, Roos Sophia de Freitas Dam, Eddie Jesús Avilán Puertas, William Luna Salgado

2022Applied Radiation and Isotopes21 citationsDOI

Topics & Concepts

Artificial neural networkVolume (thermodynamics)Volume fractionScale (ratio)PerceptronPipeline transportMultilayer perceptronDeposition (geology)Materials sciencePetroleum engineeringMechanicsComputer scienceEnvironmental scienceGeologyComposite materialPhysicsArtificial intelligenceThermodynamicsSedimentEnvironmental engineeringPaleontologyQuantum mechanicsFluid Dynamics and MixingFault Detection and Control SystemsCalcium Carbonate Crystallization and Inhibition
Calculation of volume fractions regardless scale deposition in the oil industry pipelines using feed-forward multilayer perceptron artificial neural network and MCNP6 code | Litcius