using analytics to manage greenfield and brownfield asset...
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PRES-0037 rev. 1
© 2014 Agito AS
Using Analytics to Manage Greenfield and Brownfield Asset Integrity
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1. Understand the level of subsea instrumentation employed in a Brownfield Subsea Control System
2. Using modern simulation tools to access the condition and performance with the limited information available from the Subsea Control System
3. Applying analytics to future systems and enhancing condition monitoring of a Subsea Control System (Virtual Inspector)
Using Analytics
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1. Understand the level of subsea instrumentation employed in a Brownfield Subsea Control System
Using Analytics
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Early Systems
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Introduction of Pressure Transducers at the SCM
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Pressure profiles using Pressure Transducer Data
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Valve Position Calculations
The valve actuator position for the subsea valves can estimated by use of two separate measurement methods • The static valve actuator calculation is detected by comparing
the actuator and supply pressure and a closed valve actuator is detected by comparing the actuator and return pressure.
• Verification of full valve actuator operation is estimated by an
additional calculation performed on dynamic data collected during valve actuator movement.
Separate signature calculation method for opening and closing of valves can be implemented. (The total number of data samples for each pressure line was typically limited to 80 samples)
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Introduction of Flowmeters at the SCM
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Interpreting Flowmeter data
Introduction of Flowmeters at the SCM
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Typical 10:1 Turbine Flowmeter operating band during a 5” Valve Operation
Series /Order Code
End Fitting
Nominal Inches
ID (mm) 10:1 Standard Range
Ball Bearing
/RF Pickoff
Ball Bearing
Mag Pickoff
Journal Bearing
/RF Pickoff
Journal Bearing
/Mag Pickoff
Max K Factor Maximum Frequency
Approx.
Min LPM Max LPM Min LPM Min LPM Min LPM Min LPM LPM P/L Frequency
FT-08 0.5 11 3.8 38 0.38 0.76 0.95 1.1 38 3170 2000
Introduction of Flowmeters at the SCM
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Typical 10:1 Flowmeter operating band during a 5” Valve Operation
Introduction of Flowmeters at the SCM
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Study the selected instrumentation and;
• Recognise and consider potential errors
• Consider if the instrument was/is fit for purpose
• Realise its potential
Instrumentation Summary
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2. Using modern simulation tools to access the condition and performance with the limited information available from the Subsea Control System
• System Leakage • Accumulator Pre-charge decay • Umbilical line and hose ageing • Well bore pressure
Some major system changes to consider:
Using Analytics
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Performing an evaluation of the Production Control System with a simulation tool
• ISO acceptance criteria • Company specific acceptance criteria • Third party acceptance criteria
Points to consider:
Using Analytics
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System Trend Analysis of a field development
• Identify system performance degradation • Reduce the risk of production loss • Reduce risk to people and the environment
Advantages:
Using Analytics
• Non-intrusive
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Using SimulationX® to predict failures in a control system
• Predicts degradation trends • Helps Establish a mitigation strategy • Improves field predictive maintenance
Value added by Analytics:
Using Analytics
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System Risk assessment
Using Analytics
• Identify critical components in the system
• Identify potential modes of failure
The risk assessment should:
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Life Cycle Changes
Field Evaluation
• Sub components individual degradation • Fatigue and life cycle characteristic changes • Field operational data collection
In-depth study is conducted with attention to:
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• Historically, field data has proved difficult to obtain, but it is already being produced by the system but needs to be actively recorded
Life Cycle Changes
Field Evaluation
Challenges:
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What is SimulationX®
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SimulationX® Libraries
Dedicated Subsea Libraries for Fluid Power and Electrical Power/Signal Systems SimulationX now adopted by most control system vendors
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SimulationX®
The following physical effects are included in the mathematical model for hydraulic systems:
• Pressure loss due to wall friction in lines
• Pressure loss due to changes in fluid velocity in valves, couplers and fittings
• Time delay due to wall elasticity in lines combined with fluid elasticity
• Water depths and local temperature of deployed units
• Variable external umbilical pressure
• Pressure and temperature dependent fluid viscosity and Bulk modulus.
• Real gas properties of nitrogen using the modified Bender state equation
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SimulationX®
Single Well System Model in SimulationX®
Hydraulic library element used for introducing a fluid loss out of the system
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Trend Analysis
Sensitivity runs are performed based on inputs such as hydraulic leaks, changes in friction, accumulator pre-charge decay, and connector failure. This will establish performance results such as;
• System Charge Up times
• Valve actuator operation
• System behaviour
Results plotted along with the results obtained from the baseline system analysis, establish trends and help in identifying potential failures in the system before they occur, minimizing the effects of an unscheduled production shutdown
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5” Actuator Operation
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5” Actuator Operation
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Using Analytics
3. Applying analytics to future systems and enhancing condition monitoring of a Subsea Control System (Virtual Inspector)
![Page 28: Using Analytics to Manage Greenfield and Brownfield Asset Integrity1eb4242ba6d7261133a6-f88269436174a4cadc14d546e366b62a.r30… · 2014-09-26 · Using Analytics to Manage Greenfield](https://reader033.vdocuments.us/reader033/viewer/2022042201/5ea0ff604279a655b30cff67/html5/thumbnails/28.jpg)
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AVI shall perform the following tasks:
Continuously monitors the behavior of complex dynamic
systems and reports deviations with respect to normative
behavior.
Detects and locates degradations in components and
systems and then provides early warning of components
failures.
Suggests action plans when problems or failures are
detected such as, help in localizing system leaks.
Front end application to run real system simulations in
manual mode based on the facilities engineers/ technical
experts needs.
Virtual Inspector
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Simulation
model.
Simulation X
Physical system,
Subsea system
Inteligent
module -
Comparing
Simulated
and real
results
GUI
Control
system
GUI
AVI Virtual Plant Physical Plant
Available
system results
Virtual Inspector
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Optimized SimulationX model with predefined possible leak path in subsea
MQC coupler.
Available instrumentation in this example is Surface PT and HPU flow meter
SimulationX® Representing the Physical Plant
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MCS
M1
SIMULATIONX
S1
• The AVI Table reads results from the Master Control Station (MCS).
• The AVI Table writes the first line to SimulationX as system initial values and
starts the simulation in parallel with the physical plant.
AVI Table
M1 Read
Results
Write
Initial
Values
Initiation of SimulationX®
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MCS
M1
M2
M3
M4
M5
M6
MN
SIMULATIONX
S1
S2
S3
S4
S5
S6
SN
• The AVI Table reads results from the Master Control Station (MCS).
• The AVI Table reads results from SimulationX model from line two.
AVI Table
M1
M2 S2
M3 S3
M4 S4
M5 S5
M6 S6
MN SN
Read
Results Read
results
Parallell Operation of Physical Plant and SimulationX®
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• Deviation in flow is identified
at the end of the sequence
• Deviation in pressure build
up is identified
Comparison of Results and Deviations Identified
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• Iteration runs until same behaviour is
found
Iterations Start and Possible Faults Tested
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Subsea Electrical Analysis in SimulationX®
Asset Integrity using Analytics can now be employed on Subsea
Power and Communication Systems
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Thank you for your attention