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

Pipe Flowrate Measurement: Problem Solving01:28

Pipe Flowrate Measurement: Problem Solving

968
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is achieved...
968
Optimization Problems01:26

Optimization Problems

129
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
129
Design Example: Flow of Oil Through Circular Pipes01:25

Design Example: Flow of Oil Through Circular Pipes

535
Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired volumetric...
535
Multiple Pipe Systems01:21

Multiple Pipe Systems

1.3K
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
1.3K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

602
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...
602
Pipe Flowrate Measurement01:28

Pipe Flowrate Measurement

1.5K
In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Navigation Error Characteristics of LIO-, VIO-, and RIMU-Assisted INS/GNSS Multi-Sensor Fusion Schemes in a GNSS-Denied Environment.

Sensors (Basel, Switzerland)·2026
Same author

DRC<sup>2</sup>-Net: A Context-Aware and Geometry-Adaptive Network for Lightweight SAR Ship Detection.

Sensors (Basel, Switzerland)·2025
Same author

Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery.

Sensors (Basel, Switzerland)·2025
Same author

CFD Analysis of Particle Dynamics in Accelerated Toroidal Systems for Enhanced PIVG Performance.

Micromachines·2025
Same author

Shaped-Based Tightly Coupled IMU/Camera Object-Level SLAM.

Sensors (Basel, Switzerland)·2023
Same author

Radar/INS Integration and Map Matching for Land Vehicle Navigation in Urban Environments.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Mar 22, 2026

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
09:37

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole

Published on: August 26, 2019

6.2K

A Novel Method to Enhance Pipeline Trajectory Determination Using Pipeline Junctions.

Hussein Sahli1, Naser El-Sheimy2

  • 1MMSS Research Group, Geomatics Engineering Department, University of Calgary, 2500 University Dr. NW. Calgary, AB T2N 1N4, Canada. hasahli@ucalgary.ca.

Sensors (Basel, Switzerland)
|April 26, 2016
PubMed
Summary

This study introduces a new method for pipeline inspection using micro-electro-mechanical systems (MEMS)-based inertial measurement units (IMUs). The technique significantly improves location accuracy in small pipelines, enabling detailed mapping where it was previously impossible.

Keywords:
INSKalman FilterPIGPLJinertial measurement unitpipeline junctions

More Related Videos

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.6K
Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.6K

Related Experiment Videos

Last Updated: Mar 22, 2026

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
09:37

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole

Published on: August 26, 2019

6.2K
Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

8.6K
Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.6K

Area of Science:

  • Engineering
  • Geophysics
  • Robotics

Background:

  • Pipeline inspection gauges (pigs) are crucial for oil and gas pipeline maintenance.
  • Accurate location data is vital for interpreting sensor readings from pigs.
  • High-cost, large inertial measurement units (IMUs) limit inspection in small-diameter pipelines.

Purpose of the Study:

  • To develop a cost-effective and accurate positioning methodology for small-diameter pipelines.
  • To enhance the accuracy of pipeline mapping using micro-electro-mechanical systems (MEMS)-based IMUs.
  • To overcome limitations of traditional IMUs in confined pipeline environments.

Main Methods:

  • Utilized MEMS-based IMUs for data acquisition.
  • Implemented an extended Kalman filter (EKF) for sensor data fusion.
  • Incorporated pipeline junctions as reference points to improve positional accuracy.
  • Tested the methodology in scenarios with and without above-ground markers (AGMs).

Main Results:

  • Achieved an approximate 85% reduction in root mean square (RMS) position errors compared to standard EKF.
  • Demonstrated improved accuracy even without the use of AGMs.
  • Successfully enabled trajectory reconstruction and location identification in small pipelines.

Conclusions:

  • The proposed methodology offers a viable solution for accurate pipeline mapping in small diameters.
  • MEMS-based IMUs combined with EKF and junction referencing are effective for pipeline localization.
  • This approach expands the capability of in-line inspection for previously inaccessible pipelines.