Dr. Jose Noguera
Ingeniería, Universidad Cooperativa de Colombia, Santa Marta, Magdalena, Colombia
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Academic Career Length
18Years (2009-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications18 September 2009 in Journal of Hepato-Biliary-Pancreatic Sciences
Journal Article
ECEsteve Cugat
Esteve CugatNPNoelia Pérez-Romero
Noelia Pérez-RomeroFRFernando Rotellar
Fernando RotellarMMMIGUEL ÁNGEL SUÁREZ MUÑOZ
MIGUEL ÁNGEL SUÁREZ MUÑOZMGMikel Gastaca
Mikel GastacaFPFernando Pereira
Fernando Pereira +9
Journal Article
LTLizeth Torres
Lizeth TorresJose NogueraEVEnrique Vázquez
Enrique VázquezJHJonathan Hernández-García
Jonathan Hernández-GarcíaMSMarco Sanjuan
Marco SanjuanAPArturo Palacio
Arturo PalacioWe study a high-viscosity two-phase flow through an analysis of the corresponding pressure signals. In particular, we investigate the flow of a glycerin–air mixture moving through a horizontal pipeline with a U-section installed midway along the pipe. Different combinations of liquid and air mass flow rates are experimentally tested. Then, we examine the moments of the statistical distributions obtained from the resulting pressure time series, in order to highlight the significant dynamical traits of the flow. Finally, we propose a novel correlation with two dimensionless parameters: the Euler number and a mass-flow-rate ratio to predict the pressure gradient in high-viscosity two-phase flow. Distinctive variations of the pressure gradients are observed in each section of the pipeline, which suggest that the local flow dynamics must not be disregarded in favor of global considerations.
1 August 2020 in Data in Brief
Journal Article
Jose NogueraJHJ. Hernández-García
J. Hernández-García
DGDiego F. Galaviz-López
Diego F. Galaviz-López
LTLizeth Torres
Lizeth TorresJGJ.E.V. Guzmán
J.E.V. Guzmán
JJJavier Jiménez-Cabas
Javier Jiménez-Cabas
+1
The dataset presented in this article was collected in a laboratory flow circuit, which was designed to investigate high-viscosity 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.
1 September 2019
Conference Paper
Jose NogueraLTLizeth Torres
Lizeth Torres
CVCristina Verde
Cristina Verde
EGEnrique Guzman
Enrique Guzman
MSMarco Sanjuan
Marco Sanjuan
This paper presents a model for describing the flow of a mixture of water and glycerol in pressurized horizontal pipelines. The model is constituted by mass and momentum conservation equations together with experimental formulas for computing both the density and dynamic viscosity of the mixture. The model was programmed in MATLAB to be numerically solved, as well as to simulate flow with different fractions of water and glycerol in leaking pipelines, which could allow to conceive algorithms for diagnosing leaks during the transport of flows with high viscosity. To show the agreement between the model prediction and the actual flow behavior of the mixture, the numerical model solution, for certain boundary conditions, is compared with some data acquired during an experimental test in a laboratory pipeline.
1 September 2010
Conference Paper
Jose NogueraSLSylvain Leirens
Sylvain Leirens
Pipeline networks play an important role in the petroleum industry, because these systems provide a connection between ports, oil fields and refineries, as well as consumer markets. The refined products (commodities) such as gasoline, jet fuel, diesel, etc. are transported through a unique pipe. This is a way to avoid the additional cost of several pipes dedicated to specific products. This mode of transportation presents issues like product contamination, which increases the operation costs. Hence, the contaminated portion needs to be processed again or poured at low concentrations with other products. The issue of modeling and simulation of multi-commodity pipelines takes into account the pressure, velocity and including the fluid density. Then, in this paper a dynamic model of multi-commodity pipeline network is developed considering pipes interconnected with pumps. Moreover a mixture model is added to the network. This model allows to predict the contaminated interface in each pipe section.
1 January 2015 in Ingeniare. Revista chilena de ingeniería
Journal Article
Jose NogueraCACarlos Robles Algarín
Carlos Robles AlgarínJFJordan Guillot Fula
Jordan Guillot FulaLos sistemas de ductos brindan una conexión entre puertos, campos petrolíferos, refinerías y mercados de consumo. Los productos refinados como gasolinas, diésel, turbo-combustible, queroseno, entre otros, son transportados a través de una misma tubería. De esta forma se evitan costos adicionales de varias tuberías dedicadas a productos específicos. Este modo de transporte presenta el problema de la mezcla o contaminación entre productos, lo que incrementa los costos de operación. En este sentido, esta investigación presenta el problema de modelamiento y simulación de ductos utilizados para el transporte de diferentes clases de fluidos. Tal problema es solucionado teniendo en cuenta la presión, velocidad del medio y la densidad del fluido. Se considera un modelo matemático para predecir la cantidad de contaminación entre productos y se presenta el caso de varios tramos de tubería unidos por un modelo algebraico de bomba centrífuga. Con base en lo anterior, se diseña una estrategia de control predictivo teniendo en cuenta la optimización con subprocesos vecinos para coordinar los controles locales en las estaciones de bombeo y así lograr un rendimiento global en los niveles de contaminación. Finalmente, los resultados obtenidos confirman la eficiencia de la estrategia de control predictivo-cooperativo aplicada a una red de bombas centrífugas en un sistema serial de poliductos.
About Me
I am an Electronic Engineer with a master's in Electronic Engineering and Computing and a PhD in Mechanical Engineering. I work full-time as a professor and research coordinator at the Universidad Cooperativa de Colombia and as a postdoctoral fellow of Minciencias in Artificial Intelligence applied to agriculture. As the leader and principal investigator of a project funded by Minciencias, I collaborated in obtaining a patent in the agricultural sector. I have also served as an adjunct professor at the Universidad del Norte and as a scientific advisor on projects related to climate variability and change, water resources, biodiversity, and agricultural activities in the Magdalena department.
I have expertise in Artificial Intelligence, Neural Networks, Robotics, Control, System Modeling and Simulation, Signal Analysis, Embedded Systems, and the Internet of Things. I have published several scientific articles in indexed journals and international conferences and have participated in various research and innovation projects funded by public and private entities. I have received academic distinctions such as the Colciencias scholarship for national doctorates, the exaltation as an outstanding graduate for investigative merit, and the Andrés Bello distinction from the Ministry of Education.
I am proficient in English, level B2, according to the Common European Framework of Reference for Languages, certified by Oxford International Toronto. I am also skilled in various software
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