Jove
Visualize
Contact Us

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

444
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
444
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

103
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
103
Rapidly Varying Flow01:24

Rapidly Varying Flow

145
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
145
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

321
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
321
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

131
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
131
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

410
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
410

You might also read

Related Articles

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

Sort by
Same author

A Rare Clinical Puzzle to Be Solved: Pulmonary Hydatid Cysts in Kidney Transplant Recipients.

Iranian journal of parasitology·2026
Same author

Structure-tuned Ti<sub>3</sub>C<sub>2</sub>T <sub><i>x</i></sub> MXene for efficient adsorption and visible-light-assisted removal of dye and pharmaceutical contaminants.

RSC advances·2026
Same author

Effects of dissolved surfactants in carbonated water on swelling factor and interfacial tension under sub and supercritical conditions using synthetic resinous and asphaltenic oil.

Scientific reports·2026
Same author

A review on conductive polymeric nanocomposites for advanced electromagnetic interference shielding: materials, mechanisms, and applications.

RSC advances·2026
Same author

What We Must Seek Now: Palliative Care without Borders, Race, and Ethnicity while Preserving Patient Autonomy.

International journal of community based nursing and midwifery·2026
Same author

Investigating the relationship between moral sensitivity and missed nursing care among nurses: a cross-sectional study.

Journal of medical ethics and history of medicine·2026
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 Experiment Video

Updated: Sep 17, 2025

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
08:38

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

10.6K

A new approach to foam flooding modelling with novel parameter Estimation techniques.

Hamed Hematpur1,2, Seyednooroldin Hosseini3, Syed Mohammad Mahmood2

  • 1EOR department, Research Institute of Petroleum Industry, Tehran, Iran.

Scientific Reports
|July 2, 2025
PubMed
Summary

This study introduces a new Dry-Out model for foam flooding, improving accuracy near limiting water saturation. It also presents efficient methods for estimating model parameters using experimental data, reducing the need for lengthy steady-state tests.

Keywords:
Dry-Out functionFoam flow modelSteady state floodingSurfactant-Alternating-GasUnsteady state flooding

More Related Videos

Microfluidic Fabrication Techniques for High-Pressure Testing of Microscale Supercritical CO2 Foam Transport in Fractured Unconventional Reservoirs
10:06

Microfluidic Fabrication Techniques for High-Pressure Testing of Microscale Supercritical CO2 Foam Transport in Fractured Unconventional Reservoirs

Published on: July 2, 2020

6.9K
Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

540

Related Experiment Videos

Last Updated: Sep 17, 2025

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
08:38

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications

Published on: January 16, 2018

10.6K
Microfluidic Fabrication Techniques for High-Pressure Testing of Microscale Supercritical CO2 Foam Transport in Fractured Unconventional Reservoirs
10:06

Microfluidic Fabrication Techniques for High-Pressure Testing of Microscale Supercritical CO2 Foam Transport in Fractured Unconventional Reservoirs

Published on: July 2, 2020

6.9K
Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

540

Area of Science:

  • Petroleum Engineering
  • Chemical Engineering
  • Reservoir Simulation

Background:

  • Dry-Out is a critical phenomenon in foam flooding, particularly in Surfactant-Alternating-Gas (SAG) processes.
  • Current commercial reservoir simulators' Dry-Out models exhibit limitations, including incomplete foam drying and reliance on steady-state experimental data for parameter estimation.

Purpose of the Study:

  • To develop a modified Dry-Out function that accurately models foam behavior near limiting water saturation without discontinuities.
  • To introduce novel approaches for estimating Dry-Out parameters using both steady-state and unsteady-state foam flooding experimental data.
  • To validate the modified model and parameter estimation techniques through numerical simulations and experimental data.

Main Methods:

  • A modified Dry-Out function employing the error function to address foam coalescence and model singularity.
  • Application of Genetic Algorithm and Nonlinear Least Square methods for parameter estimation from steady-state and unsteady-state foam flooding data.
  • Numerical simulation of foam flooding to verify the enhanced model and parameter estimation approaches.

Main Results:

  • The modified Dry-Out model demonstrates an acceptable fit with experimental data, outperforming commercial simulators.
  • The novel parameter estimation methodology using unsteady-state data provides precise parameters, eliminating the need for time-consuming steady-state experiments.
  • The developed approaches effectively address the limitations of existing Dry-Out models in reservoir simulation.

Conclusions:

  • The proposed modified Dry-Out function enhances the accuracy and reliability of foam flooding simulations.
  • The new parameter estimation methods offer a more efficient and precise way to calibrate reservoir simulation models.
  • This research provides significant advancements for optimizing foam flooding processes in enhanced oil recovery.