Mejorando la Detección de amenazas en tuberías

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Enhanced Threat Detection and Assessment

Capabilities Using Multiple Dataset ILI

Technology

9th

PIPELINE TECHNOLOGY CONFERENCE 2014, 12-14 May 2014, Berlin

Jue rge n Eh rha rd t, Jed Lud low

Abstract

T.D. Williamson, has been providing customers with inline inspection solutions using multiple data sets

on a single platform for the last several years. The value of obtaining information from numerous

inspection technologies, at the same point in time, is invaluable in assessing anomalies. This paper will

focus on improved feature assessment through utilization of axial MFL, SpirALL MFL (SMFL), Low Field

MFL, Deformation and XYZ Mapping technologies.

IntroductionThe value of gathering multiple inline inspection (ILI) data sets simultaneously on a single inspection tool

has long been understood. Tools equipped with a combination of high field axial magnetic flux leakage

(MFL), mechanical deformation sensors, and high accuracy XYZ mapping technologies have been

available for many years. The value of including additional data sets such as SpirALL MFL and low field

axial MFL is the focus of this paper.

Figure 1 shows MDS inspection tools in 12 and 24 diameter. Each tool is equipped with the following

inspection technologies:

High field axial MFL SpirALL MFL (SMFL)

Low field axial MFL

Mechanical deformation

ID versus OD discrimination

High accuracy XYZ mapping


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Case 3: Crack-Like Threat (Figure 6)

This example demonstrates the ability of the SMFL technology to detect planar features. Nothing at all is

visible on the MFL run data whereas the planar defect is clearly visible in SMFL. This was a crack-like

defect that developed in the area of a lamination.

Case 4: Metal Loss through Girth Weld combined with Bending Strain (Figure 7)

SMFL provides a better opportunity to examine girth weld anomalies since the response to the girth

weld itself is much less pronounced. In SMFL it is clearly visible that the metal loss is passing through the

girth weld. Applying bending strain assessment using the results of a mapping unit could reveal that this

metal loss affected girth weld is in an area of increased bending strain. Thus, the girth weld is exposed to

additional stress which could lead to a risk for failure.

References

[1] Pipeline Operators Forum, "Specifications and requirements for intelligent pig inspection of

pipelines," 2009.


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Figure 1. Multiple Data Set (MDS) ILI tools in 12" and 24" diameters. Each tool is equipped with high field axial MFL, SpirALL

MFL, low field axial MFL, mechanical deformation, ID versus OD discrimination, and XYZ mapping technologies.


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(a) (b)

(c)

Figure 2. Metal loss coverage: (a) for axial MFL, (b) for SpirALL MFL, (c) for running both technologies together. Note the

region of overlap when running both technologies. A=10 mm or wall thickness, whichever is greater.


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(a) (b)

Figure 2. Metal loss depth unity plots for the same metal loss anomalies from the Pitting and General POF classes: (a) sized

using only axial MFL, (b) sized using both axial MFL and SpirALL MFL together. N=1281 observations.

Figure 4. Mechanical damage initially detected as shallow dent; by overlaying multiple data sets much more feature

characteristics got revealed culminating in a priority 1 ranking


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Figure 5. Sizing metal loss/corrosion with MFL and SMFL data; MFL data show two separate metal loss defects, SMFL data

show one continuous anomaly

Figure 6. Crack-like threat developed in the area of a lamination; not visible in MFL, clearly visible in SMFL

Figure 7. Metal loss through girth weld combined with bending strain; in SMFL clear visibility of metal loss across the girth

weld, black circles in the right picture displaying bending strain results represent girth weld locations

Mejorando la Detección de amenazas en tuberías

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