omae real time monitoring to extend operating life of offshore platforms
DESCRIPTION
Presented at OMAE San Francisco in 2014 by Paul Chittenden, this presentation shows how oil and gas operators are using real-time monitoring to extend the life of their production platforms. Operators are using Pulse's monitoring technologies for some of the following: • Extending operating life • Structural Integrity (Storm Events) • Optimising inspection programs • Early warning systems (Structural or Foundational) • Assessing Repairs • Increasing deck mass • Adding conductors / risers • Collision detection • Design verification (New Installations)TRANSCRIPT
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The Use of Real Time
Monitoring to Extend the
Operating Life of Offshore
Platforms
OMAE | June 2014
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• Introduction
• Challenges
• Why Monitor?
• Monitoring Technologies
• Case Study: Valemon
– Project Overview
– Client Objectives
– Monitoring System
– Data and Results
• Conclusion
Agenda
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Platform Age: A Visual Representation
Introduction
Estimates
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ChallengesOffshore Platforms
Design | Environment | Fatigue | Corrosion | Impacts
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Operating Past Design Life
• Asset life extension being
driven by:
– Technological Advancements
– High price of oil
– Increasing use of subsea
tiebacks
– Operator focus on cutting costs
Why?
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Why are Clients Monitoring?
• Extending operating life
• Structural Integrity (Storm Events)
• Optimising inspection programs
• Early warning systems (Structural or Foundational)
• Assessing Repairs
• Increasing deck mass
• Adding conductors / risers
• Collision detection
• Design verification (New Installations)
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Reliability Engineering Life Cycle
Why Monitor?
Useful Life
MonitoringInvestment
MonitoringROI
Service Life (Years)
Fati
gue
Rat
e
$ S
aved
Design Verification
Assumed Design Life
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Monitoring TechnologiesEquipment Used
Accelerometers
InclinometersStrain Gauges Environmental
(Wave Radar & ADCP)
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Monitoring TechnologiesSoftware and Data Management
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Monitoring TechnologiesData Processing and Reporting
• Spectrum of the motion data (Acceleration versus Freq)
• Natural frequency determination
• Integration of time series (Displacement)
• Wave information (Wave height, Period or directions)
• Screens of anomalies
• Repair / modification verification
– Decrease of displacement
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Valemon Jacket Monitoring
• Location: Norwegian North
Sea
• Water Depth: 135m
• Valemon jacket
– 9,000 tonne
– 20 slot capacity
• Monitoring Campaign:
2012/13
Introduction
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Valemon Jacket Monitoring
• Monitor pre-drilling phase:
– Monitor deflections of jacket and
jackup
• Confirm that equipment is operated
within design limits:
– Confirm that jacket deflections
remained within expected levels
• Validate & calibrate simulation models:
– Compare measured and predicted
responses to improve models for future
operations
Client requirements
Increased motion
after jacking up
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Monitoring system
Valemon Jacket Monitoring
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Valemon Jacket Monitoring
• 3 axis precision
accelerometers
• Installed in Eexd- rated
housings
• Hardwired back to central
control room using armoured
cable
Loggers
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Valemon Jacket Monitoring Strain sticks
• Strain sticks installed in 4
locations
• Measuring curvature of the riser
• Each stick linked to an EExd
logger
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Valemon Jacket Monitoring Environmental sensors
• Air-gap wave radar installed
• Measuring wave height and
period
• ADCP- measuring current
speed and direction through
depth
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Valemon Jacket Monitoring Jackup Data – Displacement
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Valemon Jacket Monitoring Jacket Data – Displacement
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Valemon Jacket Monitoring Data – Valemon Jacket Motion / Wave Height
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
0 1 2 3 4 5 6 7 8 9 10
Dis
pla
ce
me
nt (
m)
Significant Wave Height, Hs (m)
Pulse E.On Huntington Data Processing Support
MAXIMUM MEASURED AND PREDICTED LATERAL MOTION ON JACK-UPMotion Logger POD-0007, 29/11/2012 - 24/01/2013
Maximum Measured Displacement Calculated (Nobel Denton)
Nobel Denton Hs vs. Displacement
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Valemon Jacket Monitoring Data - Jacket Motion Fatigue
0
2
4
6
8
10
12
14
1.0E-10
1.0E-08
1.0E-06
1.0E-04
1.0E-02
1.0E+00
13-Feb 17:02 16-Feb 17:02 19-Feb 17:02 22-Feb 17:02
Sig
nific
ant
Wave H
eig
ht,
Hs (
m)
Cu
mu
lativ
e D
am
ag
e
Event Timeline
Statoil - West Elara And Valemon Platform Monitoring Campaign
CUMULATIVE FATIGUE DAMAGE - UPPER HP RISERMeasured Data - 13/02/2013 - 25/02/2013
Measured Data Predicted Data Significant Wave Height Hs
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Valemon Jacket Monitoring
• Monitoring system’s demonstrated responses of critical equipment
remained within design limits during campaign length
• The jacket moves 25-33% as much as jackup
• Complex responses of the jackup to wave loading observed
• Preliminary model calibration achieved, but difficult to fully
calibrate at this stage
Outcome
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• Platform monitoring is integral
to the IM Strategy of offshore
platforms
• Online Monitoring is used to
measure actual response vs
predicted responses to
validate design and improve
models for future operations
• Data used to make informed
decisions on life extension of
assets
Conclusion
Conclusion
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References
• Use of Real Time Integrity Monitoring on Valemon Jacket During
Drilling Operations, A. Rimmer - 2H, I. Træen, H. Moberg - Statoil