F. Ramos-Pallares

Lakehead University

Environmental chemistryConvectionAbsolute deviationViscosityCritical point (thermodynamics)Fraction (chemistry)Component (thermodynamics)Activity coefficientMixing (process engineering)ChemistryMaterials scienceAtmospheric pressureDistillationVisbreakerHydrocarbon mixturesHydrocarbonTolueneSolventCrude oilAsphaltene precipitationLow temperature combustionState densityLiquid viscositySingle componentChemical engineeringChromatographyPhase (matter)Binary numberHydrogenYield (chemistry)PetroleumTernary operationAsphaltenePetroleum engineeringRegular solutionCompressibilityPhase diagramSpecific gravityThermal conductivityThermodynamics

11Publications

4H-index

57Citations

Publications 11

#1J. A. Rivero-Sanchez (U of C: University of Calgary)

#2F. Ramos-Pallares (Lakehead University)H-Index: 4

Last. Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

view all 4 authors...

#1Javier A. Rivero-Sanchez (U of C: University of Calgary)H-Index: 1

#2F. Ramos-Pallares (Lakehead University)H-Index: 4

Last. Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

view all 4 authors...

#1Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

#2F. Ramos-Pallares (Lakehead University)H-Index: 4

Application of the Modified Regular Solution Model to Crude Oils Characterized from a Distillation Assay

#1F. Ramos-Pallares (U of C: University of Calgary)H-Index: 4

#2D. Santos (U of C: University of Calgary)H-Index: 1

Last. Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

view all 3 authors...

The modified regular solution model was developed to predict onset and amount (yield) of asphaltene precipitation from mixtures of crude oil and solvents. The most recent version of the model inclu...

Extending the Modified Regular Solution Model to Predict Component Partitioning to the Asphaltene-Rich Phase

#1F. Ramos-Pallares (U of C: University of Calgary)H-Index: 4

#2Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

The Modified Regular Solution (MRS) model is an activity coefficient approach previously developed to predict the onset and amount of asphaltene precipitation from n-paraffin diluted crude oils. The activity coefficients in this model are determined from an enthalpic contribution based on the Regular Solution theory and a Flory-Huggins (configurational) entropic contribution. The inputs are the molar volume and solubility parameter of the crude oil pseudo-components which are defined based on th...

Prediction of thermal conductivity for characterized oils and their fractions using an expanded fluid based model

#1F. Ramos-Pallares (U of C: University of Calgary)H-Index: 4

#2F. F. Schoeggl (U of C: University of Calgary)H-Index: 10

Last. Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

view all 4 authors...

Abstract A methodology is proposed to predict the thermal conductivity of crude oils (mainly heavy oils) and their fractions based on a distillation assay, asphaltene content, molecular weight, and specific gravity of the fluid. The oils are characterized into a set of pseudo-components and their thermal conductivity is calculated using the Expanded Fluid (EF) thermal conductivity model. The inputs of this model are: the density of the fluid, the pressure, the dilute gas thermal conductivity, an...

#1F. Ramos-Pallares (U of C: University of Calgary)H-Index: 4

#2F. F. Schoeggl (U of C: University of Calgary)H-Index: 10

Last. Harvey W. Yarranton (U of C: University of Calgary)H-Index: 36

view all 4 authors...

Abstract Thermal conductivity data for crude (mainly heavy) oils and mixtures of crude oils and pure hydrocarbons were collected at temperatures from 20 to 125 °C and pressures up to 10 MPa using a hot wire apparatus. A criterion was established to screen out data that were affected by convection. The screened data and data from the literature were used to develop an Expanded Fluid (EF) based thermal conductivity model for pure hydrocarbons, crude oils and their mixtures. The proposed model is a...

Prediction of the Liquid Viscosity of Characterized Crude Oils by Use of the Generalized Walther Model

#1F. Ramos-Pallares (U of C: University of Calgary)H-Index: 4

#2Helen Lin (U of C: University of Calgary)H-Index: 1

Last. Shawn David TaylorH-Index: 16

view all 4 authors...

#1F. Ramos-PallaresH-Index: 4

#2Shawn David TaylorH-Index: 16

Last. Harvey W. YarrantonH-Index: 36

view all 5 authors...

A methodology has been developed to predict the viscosity of crude oils and their fractions from a distillation-based oil characterization. The maltenes were characterized as a set of pseudo-components with properties determined from established generalized correlations. The asphaltene fraction was characterized as a single component and its properties were measured. The viscosities of the pseudo-components, asphaltenes, whole oils, and their fractions were determined with the Expanded Fluid (EF...

Correction to Predicting the Viscosity of Hydrocarbon Mixtures and Diluted Heavy Oils Using the Expanded Fluid Model

#1F. Ramos-PallaresH-Index: 4

#2F. F. SchoegglH-Index: 10

Last. Harvey W. YarrantonH-Index: 36

view all 5 authors...

Close Researchers

Harvey W. Yarranton

H-index : 36

Shawn David Taylor

H-index : 16

F. F. Schoeggl

H-index : 10

Marco A. Satyro

H-index : 17

J. A. Rivero-Sanchez

Javier A. Rivero-Sanchez

H-index : 1

D. Santos

H-index : 1

Helen Lin

H-index : 1

Robert A. Marriott

H-index : 15