Next Article in Journal
Reconstructing Face Image from the Thermal Infrared Spectrum to the Visible Spectrum
Previous Article in Journal
A Comparative Study of the Applied Methods for Estimating Deflection of the Vertical in Terrestrial Geodetic Measurements
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(4), 567;

A Novel Method to Enhance Pipeline Trajectory Determination Using Pipeline Junctions

MMSS Research Group, Geomatics Engineering Department, University of Calgary, 2500 University Dr. NW. Calgary, AB T2N 1N4, Canada
Author to whom correspondence should be addressed.
Academic Editor: Gert F. Trommer
Received: 27 January 2016 / Revised: 26 March 2016 / Accepted: 13 April 2016 / Published: 21 April 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4807 KB, uploaded 21 April 2016]   |  


Pipeline inspection gauges (pigs) have been used for many years to perform various maintenance operations in oil and gas pipelines. Different pipeline parameters can be inspected during the pig journey. Although pigs use many sensors to detect the required pipeline parameters, matching these data with the corresponding pipeline location is considered a very important parameter. High-end, tactical-grade inertial measurement units (IMUs) are used in pigging applications to locate the detected problems of pipeline using other sensors, and to reconstruct the trajectories of the pig. These IMUs are accurate; however, their high cost and large sizes limit their use in small diameter pipelines (8″ or less). This paper describes a new methodology for the use of MEMS-based IMUs using an extended Kalman filter (EKF) and the pipeline junctions to increase the position parameters’ accuracy and to reduce the total RMS errors even during the unavailability of above ground markers (AGMs). The results of this new proposed method using a micro-electro-mechanical systems (MEMS)-based IMU revealed that the position RMS errors were reduced by approximately 85% compared to the standard EKF solution. Therefore, this approach will enable the mapping of small diameter pipelines, which was not possible before. View Full-Text
Keywords: pipeline junctions; Kalman Filter; inertial measurement unit; PLJ; INS; PIG pipeline junctions; Kalman Filter; inertial measurement unit; PLJ; INS; PIG

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Sahli, H.; El-Sheimy, N. A Novel Method to Enhance Pipeline Trajectory Determination Using Pipeline Junctions. Sensors 2016, 16, 567.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top