Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes02:14

Combustion Energy: A Measure of Stability in Alkanes and Cycloalkanes

The low reactivity in alkanes can be attributed to the non-polar nature of C–C and C–H σ bonds. Alkanes, therefore, were  initially termed as “paraffins,” derived from the Latin words: parum, meaning “too little,” and affinis, meaning “affinity.”
Alkanes undergo combustion in the presence of excess oxygen and high-temperature conditions to give carbon dioxide and water. A combustion reaction is the energy source in natural gas, liquified petroleum gas (LPG), fuel oil, gasoline, diesel fuel, and...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Physical Properties of Alkanes02:33

Physical Properties of Alkanes

Alkanes are nonpolar molecules due to the presence of only carbon and hydrogen atoms. The electronegativity difference between carbon and hydrogen is minimal, and hence alkanes have a zero dipole moment. This leads to the presence of only dispersion forces between the molecules. The strength of dispersion forces is dependent on the surface area of the molecules on which they act. Since the surface area increases with the molecular length for straight-chain alkanes, the dispersion forces also...
Standard Enthalpy of Formation02:37

Standard Enthalpy of Formation

Enthalpy changes are typically tabulated for reactions in which both the reactants and products are at the same conditions. A standard state is a commonly accepted set of conditions used as a reference point for the determination of properties under other different conditions. For chemists, the IUPAC standard state refers to materials under a pressure of 1 bar and solutions at 1 M and does not specify a temperature. Many thermochemical tables list values with a standard state of 1 atm. Because...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Crude Oil Yield Estimation: Recent Advances and Technological Progress in the Oil Refining Industry.

Sensors (Basel, Switzerland)·2025
Same author

Sodium Alginate/Carboxymethyl Chitosan Hydrogel Microbeads for Antibiotic Adsorption in Single and Binary Systems.

Gels (Basel, Switzerland)·2025
Same author

Spontaneous Colonic Diaphragmatic Pericardial Herniation Causing Colonic Obstruction and Right Ventricular Collapse.

JACC. Case reports·2025
Same author

Prediction of Solvent Composition for Absorption-Based Acid Gas Removal Unit on Gas Sweetening Process.

Molecules (Basel, Switzerland)·2024
Same author

Optimal iterative learning PI controller for SISO and MIMO processes with machine learning validation for performance prediction.

Scientific reports·2024
Same author

Rectenna System Development Using Harmonic Balance and S-Parameters for an RF Energy Harvester.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Jun 8, 2026

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion
11:33

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion

Published on: September 2, 2016

Yield estimation and operational parameter evaluation of three crude oils using aspen HYSYS simulation-based.

Wan Nazihah Liyana Wan Jusoh1, Madiah Binti Omar2, Kishore Bingi3

  • 1Department of Chemical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia. nazihahliyana.j@gmail.com.

Scientific Reports
|June 6, 2026
PubMed
Summary

This study simulates crude oil distillation using Aspen HYSYS to predict yield without product flowrate data. The model accurately estimates yields and temperature profiles, aiding refineries in evaluating new crude oils.

Keywords:
Aspen HYSYSCrude oilParameter evaluationSimulationYield

More Related Videos

Measurement of the Rheology of Crude Oil in Equilibrium with CO2 at Reservoir Conditions
10:38

Measurement of the Rheology of Crude Oil in Equilibrium with CO2 at Reservoir Conditions

Published on: June 6, 2017

Biomass Conversion to Produce Hydrocarbon Liquid Fuel Via Hot-vapor Filtered Fast Pyrolysis and Catalytic Hydrotreating
11:28

Biomass Conversion to Produce Hydrocarbon Liquid Fuel Via Hot-vapor Filtered Fast Pyrolysis and Catalytic Hydrotreating

Published on: December 25, 2016

Related Experiment Videos

Last Updated: Jun 8, 2026

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion
11:33

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion

Published on: September 2, 2016

Measurement of the Rheology of Crude Oil in Equilibrium with CO2 at Reservoir Conditions
10:38

Measurement of the Rheology of Crude Oil in Equilibrium with CO2 at Reservoir Conditions

Published on: June 6, 2017

Biomass Conversion to Produce Hydrocarbon Liquid Fuel Via Hot-vapor Filtered Fast Pyrolysis and Catalytic Hydrotreating
11:28

Biomass Conversion to Produce Hydrocarbon Liquid Fuel Via Hot-vapor Filtered Fast Pyrolysis and Catalytic Hydrotreating

Published on: December 25, 2016

Area of Science:

  • Petroleum Engineering
  • Chemical Engineering
  • Process Simulation

Background:

  • Crude oil yield estimation is vital for refineries, especially with new feedstocks.
  • Laboratory analysis alone is insufficient for accurate yield prediction.
  • Simulation modeling offers an improved approach to yield estimation.

Purpose of the Study:

  • To simulate a distillation column using Aspen HYSYS V14.
  • To estimate crude oil yield without pre-specified product flowrates.
  • To analyze factors influencing yield and temperature profiles.

Main Methods:

  • Utilized Aspen HYSYS V14 for distillation column simulation.
  • Applied actual refinery data for three distinct crude oil samples.
  • Investigated the impact of feed flowrate, steam, and pressure on yield and temperature.

Main Results:

  • The simulation model accurately predicted crude oil yield with minimal temperature profile errors (0.07%–1.04%).
  • Flowrate deviations ranged from 1.60% to 20.48% across the samples.
  • Higher bottom steam increased heavy products by ~5%; higher top pressure boosted kerosene yield by ~2.45%.

Conclusions:

  • Aspen HYSYS V14 provides a viable tool for predicting crude oil yield and understanding process parameters.
  • Simulation effectively reduces reliance on laboratory analysis for yield estimation.
  • Optimizing steam and pressure in distillation columns can significantly influence product distribution.