dr. xuesong wang pipeline engineering & supply co ltd. ppsa seminar, 18 th nov. 2009, aberdeen
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Dr. Xuesong Wang Pipeline Engineering & Supply Co Ltd. PPSA Seminar, 18 th Nov. 2009, Aberdeen. Outline. Introduction Principle Features and benefits Results Laboratory experimental results Field test results Application areas Summary. Principle . - PowerPoint PPT PresentationTRANSCRIPT
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Dr. Xuesong Wang
Pipeline Engineering & Supply Co Ltd.
PPSA Seminar, 18th Nov. 2009, Aberdeen
www.pipelineengineering.com
Outline• Introduction
– Principle– Features and benefits
• Results– Laboratory experimental results– Field test results
• Application areas
• Summary
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Principle • This acoustic pulse will be partially reflected
wherever there is a change in the internal cross sectional area of the pipeline.
• With the knowledge of the speed of sound in the pipeline, the location of features, such as blockages, holes, valves and buckles can be accurately detected and located.
• The technique is non-invasive and in tests has been shown to be capable of surveying both small and large diameter pipelines
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Features and benefitsFeatures of the technology
• Easy to fit and operate
• Portable or permanent unit
• Real time / instant analysis
• Operating range of up to 10km
• Pressure up to 5000psi
• ATEX certified
Benefits of the technology•Pipeline surveys in just a few hours•No disruption to normal operations•Continuous monitoring capability•Remote surveying capability•Simple and cost effective
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Laboratory test: Water deposit detection
• Different cross section areas of water deposit can be detected.
-0.4
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-0.1
0
0.1
0.2
0.3
0.4
0.5
0 20 40 60 80 100
Sig 10.50% 21.70% 36.80% 53.90% 70.50%Solid PVC pipe, 16m, ID 63mm.
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Laboratory test: Buckling detection
Less than 3 % cross section area change can be detected.
100m coiled pipe, ID 50mm
0.1 0.2 0.3 0.4 0.5 0.6 0.7-0.3
-0.2
-0.1
0
0.1
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Time(secs)
Am
plit
ud
e(v
)
100%97.1%96.1%94.8%91.3%86.4%78.5%73.9%71.0%67.1%
0.235 0.24 0.245 0.25 0.255
-0.2
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
Time(secs)A
mp
litu
de
(v)
100%97.1%96.1%94.8%91.3%86.4%78.5%73.9%71.0%67.1%
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Laboratory test: Flow experimental results
• Matched filtering can be used to detect pipeline defects against the noisy background.
0 5 10 15 20 25 30-0.8
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0
0.2
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0.6
Penetration distance (m)
Am
plit
ud
e (
v)
0 5 10 15 20 25 300
5
10
15
Penetration distance (m)
Rel
ativ
e a
mpl
itude
Reflections of 800 Hz waves
Matched filtering analysis
0 5 10 15 20 25 300
200
400
600
800
1000
1200
Rel
ati
ve a
mpl
itud
e
Penetration distance (m)
Pipe end
Blockage
Pipe end
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Field test: Atmospheric conditions
• Multiple water deposits can be detected over long distance.
X
Y
M1 M2
T1 T2
Pipe Bridge
X
Y
M1 M2
T1 T2
Pipe Bridge
201m
60m
150m
32m
32m
7.5m
10” steel pipe. 1km long
100 200 300 400 500 600 700 800 900 1000-0.03
-0.02
-0.01
0
0.01
0.02
0.03
Distance from source (m)
Am
plitu
de
X valve closedX valve 12% openX valve 22% openX valve 42% openX valve 74% openX valve 98% open
100 200 300 400 500 600 700 800 900 1000
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
Distance from source (m)
Am
plitu
de
A
B
C D E F G
H
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Field test: High pressure conditions
Obstruction can be detected over 850m at high pressure conditions.
1 2 3 4 5 6 7 8 9
-0.1
-0.08
-0.06
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-0.02
0
0.02
0.04
0.06
0.08
Time (secs)
Am
plit
ud
e (
v)
3” steel pipe, 93 psig
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Field test: High pressure conditions
• Status can be identified.
0 5 10 15 20 25 30 35 400
0.001
0.002
0.003
0.004
0.005
0.006
0.007
0.008
0.009
0.01
Time (s)
Str
en
gth
of
refle
ctio
n
NormalAbnormal
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Field test: High pressure with flow
• Matched filter and band pass filter can be used to remove background noise.
0 2 4 6 8 10-0.2
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0
0.1
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Time(secs)R
ela
tive
am
plit
ud
e
No flowLow flowMedium flowHigh flow
1 2 3 4 5 6 7 8 9
-0.015
-0.01
-0.005
0
0.005
0.01
Time(secs)
Rel
ati
ve a
mp
litu
de
Processed data by using matched filtering
Processed data by using a band pass filter
1st reflection
2nd reflection 3rd reflection
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Applications• As a temporary installation to detect blockages, obstructions or other
features in a pipeline.
• As a permanent installation to continuously monitor a pipeline and detect changes such as the build-up of hydrate blockage or water deposit.
• Location of partially closed valves.
• Location of stuck pigging tools and plugs.
• Location of dents, hydrates and debris.
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Summary• An acoustic reflectometry technique for detecting defects in gas filled
pipelines has been developed.
• Appropriate signal processing techniques, such as band pass filter and matched filtering, can be used to identify features even on a complicated pipeline arrangement with strong noise interference.
• Work is continuing to improve the accuracy and reliability of the method and also to test it on longer lengths of live gas pipeline.
• Monitoring for liquid pipelines is under investigation.
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Acknowledgements