Various Enduro Pigs & Pigging Information

Mechanical Damage has been one of the sources of incidents for both hazardous liquid and gas pipelines. Much effort has been devoted to developing techniques to provide a means of detecting and assessing the severity of Mechanical Damage in operating pipelines. Results from several projects have identified the use of multiple field level MFL (Magnetic Flux Leakage) as one method of detecting and assessing these areas. Previously developed techniques using high and low magnetization levels will be applied to test data and compared to results using residual magnetization levels near or within the 2nd Quadrant of the magnetic curve of pipeline steels. This paper provides the results of data collected at high, low, and residual 2nd Quadrant magnetic field regions. Several features have been selected for detailed evaluation. The results and comparisons for each data set are presented.

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This is a pigging questionaire that allows us to better serve our customers. This survey provides Enduro Pipeline Services with valuable details about your pipeline and the environment in which our products are going to run.

An Application of Mechanical Damage Assessment Techniques Using Multiple Technology, Single-pass In-Line Inspection (ILI) Tool Data

Concurrent collection of multiple data sets will enable software processes and data analysts to more accurately identify pipeline features. Correct identification of dented areas with metal loss or stress risers will enable operators to better maintain the integrity of pipeline systems. Likewise, correct identification of dented areas without metal loss or stress risers will prevent unnecessary excavations, allowing operators to allocate integrity management resources more effectively.

A clean pipeline is critical to getting the best data possible from a "Smart Pig" inspection run. Find out more about how to prepare your pipeline for a clean run.

This document contains a table useful for determining the necessary head pressure required to transport pigs through different lengths of pipe when using air as the transport medium.

Signals found in flux leakage data can often result for any number of reasons, varying due to metallurgical makeup, manufacturing processes, installation methods, thickness variations, permeability variations, heat treatment and test conditions. Many of these would not be considered as anomalies, but would be present along with signals detected as a result of damaged areas. Using multiple level flux leakage data in conjunction with high accuracy deformation data can provide an additional means of correctly identifying or otherwise improve the ability of data analysts and software processes to accurately assess areas that have been subjected to mechanical damage.