Dataset on water–glycerol flow in a horizontal pipeline with and without leaks

The dataset presented in this article was collected in a laboratory flow circuit, which was designed to investigate highviscosity flows. The data set is composed of 1200 s (equivalent to 12,000 samples) of mass flow and pressure measurements taken at five points along the pipeline. The first 300 s w...

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Autores:
Noguera Polania, José Fernando
Hernández-García, J.
Galaviz-López, Diego F.
Torres, Lizeth
Guzmán, J.E.V.
Sanjuán-Mejía, Marco E.
Jiménez-Cabas, Javier
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6929
Acceso en línea:
https://hdl.handle.net/11323/6929
https://doi.org/10.1016/j.dib.2020.105950
https://repositorio.cuc.edu.co/
Palabra clave:
High-viscosity fluids
Extra-heavy oils
Pipelines
Model validation
Leak detection
Rights
openAccess
License
CC0 1.0 Universal
Description
Summary:The dataset presented in this article was collected in a laboratory flow circuit, which was designed to investigate highviscosity flows. The data set is composed of 1200 s (equivalent to 12,000 samples) of mass flow and pressure measurements taken at five points along the pipeline. The first 300 s were recorded when the flow in the loop was composed only of glycerol. The remaining data were acquired when the flow was composed of a water–glycerol mixture. During the data acquisition, two extractions were produced. The research reported in [1] uses 160 s of the data provided here. This article explains in detail the experimental set-up and the principal instruments used for obtaining the dataset. The dataset is in the form of seven columns: Time, Mass Flow, Pressure 1, Pressure 2, Pressure 3, Pressure 4, Pressure 5, in supplementary Excel and Matlab files.