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Monaco Engineering Solutions
1
Overview
• Subsea Reliability Challenges
• Reliability, Availability and Maintainability Definitions
• Subsea Reliability Strategy using PLASMA – Based on API RP 17N
• Reliability Strategy Summary
2
3
• Maximise Oil and Gas production
• Minimise environmental impact
• Minimise risk to assets and personnel
• Maximise profit
These can be accomplished by improving reliability of subsea systems and
optimising maintenance costs and thus:
Maximising Subsea Production Availability
Subsea Reliability Challenges
System Production Availability
4
Production
Availability
Reliability MaintainabilityReliability
0.9986
0.9988
0.999
0.9992
0.9994
0.9996
0.9998
1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
FailureRate
Time
5
Reliability – Bathtub Curve
Early Life Useful Life Wear out
The main focus of Reliability is understanding the failure patterns of
equipment/components throughout life of field.
Wear out
0.9986
0.9988
0.999
0.9992
0.9994
0.9996
0.9998
1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
FailureRate
Time
6
Reliability – Bathtub Curve
Early Life Useful Life
Early life failures are also known as infant mortality and burn-in failures.
Manufacturing defects: Welding flaws, cracks, defective parts, contaminations,
poor workmanship and poor quality control.
Minimised by good design, fabrication and testing philosophy and
implementing a Reliability Strategy.
Wear out
7
• Aiming to reduce early life failures
Reliability – Bathtub Curve
0.9986
0.9988
0.999
0.9992
0.9994
0.9996
0.9998
1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
FailureRate
Time
Early Life Useful Life
Uncertainty
Wear out
8
• Aiming to reduce early life failures
Reliability – Bathtub Curve
0.9986
0.9988
0.999
0.9992
0.9994
0.9996
0.9998
1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
FailureRate
Time
Early Life Useful Life
Uncertainty
• What are the uncertainties in the equipment failure
rates
– Environmental conditions
– Operating conditions
– Suitability for Service (e.g. Is it operated within design
conditions?, Is it designed to appropriate standards? Is
it being used beyond its capability?)
– Lack of dependable subsea reliability data
System Production Availability
9
Production
Availability
Reliability MaintainabilityMaintainability
• Maintenance downtime profile for a single failure
10
Full Production
Maintainability
• Maintenance downtime profile for a single failure
11
Partial Production loss
Supply Delay and
Mobilisation Delay
Maintainability
• Maintenance downtime profile for a single failure
12
Repair Time (No Production)
Repair Time comprises:
• Access
• Diagnosis
• Replacement/Repair
• Verification and Alignment
Maintainability
13
Restart or Ramp-up
Maintainability
• Maintenance downtime profile for a single failure
Maintainability
14
1. Corrective Maintenance (CM) i.e. repair or replace when failure occurs.
2. Planned Preventive Maintenance (PPM) i.e. time based maintenance or
replacement.
3. Condition based maintenance (CBM) i.e. monitoring the performance and
perform maintenance/replacement when condition deteriorates.
For ultra-deepwater, the preferred strategy is Corrective Maintenance (CM) i.e.
repair or replace when failure occurs.
However, the CM strategy itself when implemented is still not
cost-effective. There’s a need to eliminate potential failures when possible.
• Reducing frequency of failures = Improving Reliability
• Reducing repair or downtime i= Improving Maintainability
• How do we quantify production availability?
15
Typical Production Output
Failures
Assuming a constant production profile
10 failures
6 weeks downtime
5 failures
4 weeks downtime
5 failures
2 weeks downtime
𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒊𝒍𝒕𝒚 =
𝑨𝒄𝒕𝒖𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍
𝑷𝒐𝒕𝒆𝒏𝒕𝒊𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍
𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒊𝒍𝒕𝒚 =
𝑨𝒄𝒕𝒖𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍
𝑷𝒐𝒕𝒆𝒏𝒕𝒊𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍
16
Production Availability Definition
Assuming a constant production profile
17
How can we optimise the production
availability?
• Optimise reliability and maintainability and adopt the asset management
strategy based on API RP 17N.
• Use specialised tools that implement Subsea Reliability Strategy into design:
– The tool should be designed to conform with API RP 17N and ISO 20815.
– Platform for Operators, Contractors and Vendors to understand and review R&M
as an iterative and continuous process
– Allow all parties to work together to meet R&M goals and remain up-to-date on
Reliability targets
– Ensure R&M goals are carefully considered throughout all life-cycle phases
– Formulate a Reliability Assurance Document (RAD) which summarises the
findings from various analyses from the Reliability Strategy program such as RAM,
FTA, FMECA, TRC and TRL and demonstrate whether production availability
targets have been met.
• This paper investigates the implementation of Subsea Reliability Strategy
using PLASMA software.
18
• API RP 17N provides a structured
approach which organisations can
adopt to manage uncertainties
throughout the life of a project.
19
Reliability Strategy Flowchart
• The reliability activities have been
arranged into a cycle of four basic steps.
• Based on 12 key reliability processes as
defined by ISO 20815 for production
assurance and reliability management
20
The changes to the
Goals can be tracked
through each iteration.
21
Goals and Requirements
• Define project specific goals, strategies
and requirements
• Define high level reliability and
maintainability goals
– Overall Production Availability
– Probability of achieving a
maintenance free operating period
– Probability of achieving a minimum
failure free operating period
(non-maintainable items)
22
Goals and Requirements
• Allocation of availability
– Topside system
– Subsea system
• Define project strategy
– Minimise time to restore failed
equipment to an operable state
(Maintainability Strategy)
– Extend equipment life before failure
(Reliability Strategy)
– Combination of both
23
Technical Risk Categorisation
• Define project requirements
– A high level technical review using
Technical Risk Categorisation
24
Reliability Activities
• Allocate leadership and resources to the
required reliability activities
– resources (people, software/hardware,
etc.);
– roles and responsibilities;
– deliverables for each activity;
– schedules and milestones.
25
Reliability Activities
• Planning philosophies and tasks
– Operators should initiate reliability plans
as early as possible in feasibility and
concept selection stage
– Plans should be adopted by contractors in
consultation with the operators
Reliability Activities
26
Reliability Activity Task Notes Responsibility Timing Output
Reliability Data
Establish data for RAM Model - initially
use OREDA
RAM Specialist Ongoing PLASMA Database
Define/update/monitor
R&M Goals
Achieve availability of Ai% within
CAPEX of Ci and OPEX of Oi
Project Manager Before ITT Update Basis of Design
Update qualification plan
& schedule
Update and manage Reliability Plan
and schedule for qualification
Reliability Lead Ongoing - Quarterly
Qualification plan and
schedule
System functional FMECA
Identify unacceptable system failure
modes
Reliability Lead /
RAM Specialist
Before ITT
HAZOP report and
actions; input into the
RAM model
Fault Tree Analysis
Identify the causes of failure and
failure modes.
Applicable to Unrevealed Failure
Modes
Reliability Lead /
RAM Specialist
Ongoing
Quantify the Probability of
Failure on Demand for the
TOP Events
System RAM Analysis
Use PLASMA to examine Production
Availability and look at impact of
design change
RAM Specialist
Ongoing – Final
completion in X
months
RAM Model
Lessons Learned
Verify lessons learned have been
considered in the design
Project Manager Ongoing Design review report
Reliability Assurance
(RAD)
Ongoing collection of evidence for
assurance
Reliability Lead
Ongoing – Final
completion in Y
months
Subsea RAD
27
• Project implementation should keep
R&M at it’s core:
– potential failure modes that could
affect system performance have
been analysed and managed
– all design decisions are consistent
with the R&M goals
– the qualification of equipment has
addressed the R&M required by the
project
– all documented lessons learnt from
previous projects have been
incorporated
– the supply chain is fully integrated
into the reliability and technical risk
management program
28
Feedback
• Lesson learnt from operations
regarding reliability performance of
equipment should be included as an
input into projects.
29
Reliability Assurance Document (RAD)
• The purpose of Reliability Assurance is to
demonstrate that the Availability requirements
have been met and the extent to which the
availability goals will be achieved.
• This contains statements on:
– Goals, requirements and strategy
– Project technical risk category
– Description of work carried out and findings
– Recommendations for the project
– Lessons learnt
30
Reliability Assurance Document (RAD)
• The purpose of Reliability Assurance is to
demonstrate that the Availability requirements
have been met and the extent to which the
availability goals will be achieved.
• This contains statements on:
– Goals, requirements and strategy
– Project technical risk category
– Description of work carried out and findings
– Recommendations for the project
– Lessons learnt
31
Process Flow Diagram (PFD)
Reliability Block Diagram (RBD)
32
Process Flow Diagram (PFD)
Reliability Block Diagram (RBD)
33
Fault Tree Analysis (FTA)
34
Fault Tree Analysis (FTA)
35
Probability of Failure on Demand
36
Top event frequency
37
Top event frequency
0
38
Failure Mode Effects and Criticality Analysis (FMECA)
0
39
Failure Mode Effects and Criticality Analysis (FMECA)
0
40
Failure rate data is dynamically linked with other
Reliability Activities to ensure consistent use of data.
0
41
42
1. The subsea system has an average production availability of 97.4% ± 1.4% over it’s 30 year design life.
2. This is equivalent to an average production rate of 10,700,000 sm3 per year and average production loss of 270,000 sm3 per year.
3. The estimated production volume over the design life is 321,000,000 sm3 per year.
4. The average production availability does not meet the production availability target of 98.5%.
5. A breakdown of the contributor to overall unavailability.
43
1. The subsea system has an average production availability of 97.4% ± 1.4% over it’s 30 year design life.
2. This is equivalent to an average production rate of 10,700,000 sm3 per year and average production loss of 270,000 sm3 per year.
3. The estimated production volume over the design life is 321,000,000 sm3 per year.
4. The average production availability does not meet the production availability target of 98.5%.
5. A breakdown of the contributor to overall unavailability.
44
Production Availability Probability Distribution (PAPD)
1. The PAPD is based upon 500 simulation runs.
2. There is a 6.8% probability that the production availability
target of 98.5% shall be achieved over its 30 year design
life.
3. There is a 50% probability that the system shall achieve
an average production availability of 97.4% or above over
its 30 year design life.
45
Production Availability Probability Distribution (PAPD)
1. The PAPD is based upon 500 simulation runs.
2. There is a 6.8% probability that the production availability
target of 98.5% shall be achieved over its 30 year design
life.
3. There is a 50% probability that the system shall achieve
an average production availability of 97.4% or above over
its 30 year design life.
46
Relative Contribution to System Unavailability
1. The main system relative contributors to overall
unavailability are Production (36.9%), MEG DS (22.4%)
and HIPPS (17.1%).
Overall System
47
Relative Contribution to System Unavailability
1. The main system relative contributors to overall
unavailability are Production (36.9%), MEG DS (22.4%)
and HIPPS (17.1%).
Overall System
48
Relative Contribution to Production Unavailability
1. The main system relative contributors to overall
unavailability are Production (36.9%), MEG DS (22.4%)
and HIPPS (17.1%).
2. The main Production relative contributors to system
unavailability are Pipelines (54.7%), Wells (37.5%) and
Hydrate (7.8%) respectively.
Overall System > Production
49
Relative Contribution to Production Unavailability
1. The main system relative contributors to overall
unavailability are Production (36.9%), MEG DS (22.4%)
and HIPPS (17.1%).
2. The main Production relative contributors to system
unavailability are Pipelines (54.7%), Wells (37.5%) and
Hydrate (7.8%) respectively.
Overall System > Production
50
Relative Contribution to Wells Unavailability
Overall System > Production > Wells
1. The main system relative contributors to overall
unavailability are Production (36.9%), MEG DS (22.4%)
and HIPPS (17.1%).
2. The main Production relative contributors to system
unavailability are Pipelines (54.7%), Wells (37.5%) and
Hydrate (7.8%) respectively.
3. The main Wells relative contributors to system
unavailability are X-Tree (37.6%), Tubing (24.4%) and
SCSSV (18.0%) respectively.
51
Relative Contribution to Wells Unavailability
Overall System > Production > Wells
1. The main system relative contributors to overall
unavailability are Production (36.9%), MEG DS (22.4%)
and HIPPS (17.1%).
2. The main Production relative contributors to system
unavailability are Pipelines (54.7%), Wells (37.5%) and
Hydrate (7.8%) respectively.
3. The main Wells relative contributors to system
unavailability are X-Tree (37.6%), Tubing (24.4%) and
SCSSV (18.0%) respectively.
Cost Benefit Curve - Reliability
52
Reliability
Cost
• How much Reliability and Maintainability should be designed into a product?
• Acquisition cost includes cost of implementing and operating a reliability
program in addition to the overall development and production costs
associated with the product (Material, labour, taxes, insurance, admin,
marketing etc.)
• Failure Cost includes warranty costs, liability costs, replacement or repair
costs and loss of market share.
Total Cost (t) = Acquisition cost (t) + Failure Cost (t)
Minimum
Required
Reliability
Minimum Cost
Cost Benefit Curve - Maintainability
53
Maintenance Frequency
Cost
• Planned Maintenance (PM) Cost includes labour and equipment required.
This will capture any incipient failures.
• Corrective Maintenance Cost includes costs associated with downtime,
repair crews, equipment required and parts required.
Total Cost (t) = CM cost (t) + PM cost (t)
Optimum
PM
54
Reliability Assurance Document (RAD)
55
Reliability Assurance Document (RAD)
56
57
Reliability Strategy Summary
• API RP 17N is a structured approach which can be used to optimise R&M
goals.
• Reliability Strategy is an iterative process which is used throughout all project
phases.
• Reliability Assurance Document (RAD) records the findings from various
reliability activities (RAM, FTA, FMECA, TRC, TRL etc.) and demonstrates
whether the production availability targets have been met.
• PLASMA is an integrated reliability tool which provides a live platform for
Operators, Contractors and Vendors to understand and demonstrate that
R&M goals have been met.
58
Any Questions?
59
UK Office
Contact: Dr. Mehran Pourzand
Address: Monaco Engineering Solutions Ltd., Randalls Road, Leatherhead, Surrey,
KT22 7RY
Telephone: +44(0) 1372 227 997
Fax: +44(0) 1372 227 998
Website: www.mes-international.com
Enquiries: mesuk.info@mes-international.com
Contact Us

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Mes presentation subsea reliability

  • 2. Overview • Subsea Reliability Challenges • Reliability, Availability and Maintainability Definitions • Subsea Reliability Strategy using PLASMA – Based on API RP 17N • Reliability Strategy Summary 2
  • 3. 3 • Maximise Oil and Gas production • Minimise environmental impact • Minimise risk to assets and personnel • Maximise profit These can be accomplished by improving reliability of subsea systems and optimising maintenance costs and thus: Maximising Subsea Production Availability Subsea Reliability Challenges
  • 5. 0.9986 0.9988 0.999 0.9992 0.9994 0.9996 0.9998 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 FailureRate Time 5 Reliability – Bathtub Curve Early Life Useful Life Wear out The main focus of Reliability is understanding the failure patterns of equipment/components throughout life of field.
  • 6. Wear out 0.9986 0.9988 0.999 0.9992 0.9994 0.9996 0.9998 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 FailureRate Time 6 Reliability – Bathtub Curve Early Life Useful Life Early life failures are also known as infant mortality and burn-in failures. Manufacturing defects: Welding flaws, cracks, defective parts, contaminations, poor workmanship and poor quality control. Minimised by good design, fabrication and testing philosophy and implementing a Reliability Strategy.
  • 7. Wear out 7 • Aiming to reduce early life failures Reliability – Bathtub Curve 0.9986 0.9988 0.999 0.9992 0.9994 0.9996 0.9998 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 FailureRate Time Early Life Useful Life Uncertainty
  • 8. Wear out 8 • Aiming to reduce early life failures Reliability – Bathtub Curve 0.9986 0.9988 0.999 0.9992 0.9994 0.9996 0.9998 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 FailureRate Time Early Life Useful Life Uncertainty • What are the uncertainties in the equipment failure rates – Environmental conditions – Operating conditions – Suitability for Service (e.g. Is it operated within design conditions?, Is it designed to appropriate standards? Is it being used beyond its capability?) – Lack of dependable subsea reliability data
  • 10. • Maintenance downtime profile for a single failure 10 Full Production Maintainability
  • 11. • Maintenance downtime profile for a single failure 11 Partial Production loss Supply Delay and Mobilisation Delay Maintainability
  • 12. • Maintenance downtime profile for a single failure 12 Repair Time (No Production) Repair Time comprises: • Access • Diagnosis • Replacement/Repair • Verification and Alignment Maintainability
  • 13. 13 Restart or Ramp-up Maintainability • Maintenance downtime profile for a single failure
  • 14. Maintainability 14 1. Corrective Maintenance (CM) i.e. repair or replace when failure occurs. 2. Planned Preventive Maintenance (PPM) i.e. time based maintenance or replacement. 3. Condition based maintenance (CBM) i.e. monitoring the performance and perform maintenance/replacement when condition deteriorates. For ultra-deepwater, the preferred strategy is Corrective Maintenance (CM) i.e. repair or replace when failure occurs. However, the CM strategy itself when implemented is still not cost-effective. There’s a need to eliminate potential failures when possible.
  • 15. • Reducing frequency of failures = Improving Reliability • Reducing repair or downtime i= Improving Maintainability • How do we quantify production availability? 15 Typical Production Output Failures Assuming a constant production profile 10 failures 6 weeks downtime 5 failures 4 weeks downtime 5 failures 2 weeks downtime
  • 16. 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒊𝒍𝒕𝒚 = 𝑨𝒄𝒕𝒖𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍 𝑷𝒐𝒕𝒆𝒏𝒕𝒊𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑨𝒗𝒂𝒊𝒍𝒂𝒃𝒊𝒍𝒕𝒚 = 𝑨𝒄𝒕𝒖𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍 𝑷𝒐𝒕𝒆𝒏𝒕𝒊𝒂𝒍 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝑽𝒐𝒍 16 Production Availability Definition Assuming a constant production profile
  • 17. 17 How can we optimise the production availability? • Optimise reliability and maintainability and adopt the asset management strategy based on API RP 17N. • Use specialised tools that implement Subsea Reliability Strategy into design: – The tool should be designed to conform with API RP 17N and ISO 20815. – Platform for Operators, Contractors and Vendors to understand and review R&M as an iterative and continuous process – Allow all parties to work together to meet R&M goals and remain up-to-date on Reliability targets – Ensure R&M goals are carefully considered throughout all life-cycle phases – Formulate a Reliability Assurance Document (RAD) which summarises the findings from various analyses from the Reliability Strategy program such as RAM, FTA, FMECA, TRC and TRL and demonstrate whether production availability targets have been met. • This paper investigates the implementation of Subsea Reliability Strategy using PLASMA software.
  • 18. 18 • API RP 17N provides a structured approach which organisations can adopt to manage uncertainties throughout the life of a project.
  • 19. 19 Reliability Strategy Flowchart • The reliability activities have been arranged into a cycle of four basic steps. • Based on 12 key reliability processes as defined by ISO 20815 for production assurance and reliability management
  • 20. 20 The changes to the Goals can be tracked through each iteration.
  • 21. 21 Goals and Requirements • Define project specific goals, strategies and requirements • Define high level reliability and maintainability goals – Overall Production Availability – Probability of achieving a maintenance free operating period – Probability of achieving a minimum failure free operating period (non-maintainable items)
  • 22. 22 Goals and Requirements • Allocation of availability – Topside system – Subsea system • Define project strategy – Minimise time to restore failed equipment to an operable state (Maintainability Strategy) – Extend equipment life before failure (Reliability Strategy) – Combination of both
  • 23. 23 Technical Risk Categorisation • Define project requirements – A high level technical review using Technical Risk Categorisation
  • 24. 24 Reliability Activities • Allocate leadership and resources to the required reliability activities – resources (people, software/hardware, etc.); – roles and responsibilities; – deliverables for each activity; – schedules and milestones.
  • 25. 25 Reliability Activities • Planning philosophies and tasks – Operators should initiate reliability plans as early as possible in feasibility and concept selection stage – Plans should be adopted by contractors in consultation with the operators
  • 26. Reliability Activities 26 Reliability Activity Task Notes Responsibility Timing Output Reliability Data Establish data for RAM Model - initially use OREDA RAM Specialist Ongoing PLASMA Database Define/update/monitor R&M Goals Achieve availability of Ai% within CAPEX of Ci and OPEX of Oi Project Manager Before ITT Update Basis of Design Update qualification plan & schedule Update and manage Reliability Plan and schedule for qualification Reliability Lead Ongoing - Quarterly Qualification plan and schedule System functional FMECA Identify unacceptable system failure modes Reliability Lead / RAM Specialist Before ITT HAZOP report and actions; input into the RAM model Fault Tree Analysis Identify the causes of failure and failure modes. Applicable to Unrevealed Failure Modes Reliability Lead / RAM Specialist Ongoing Quantify the Probability of Failure on Demand for the TOP Events System RAM Analysis Use PLASMA to examine Production Availability and look at impact of design change RAM Specialist Ongoing – Final completion in X months RAM Model Lessons Learned Verify lessons learned have been considered in the design Project Manager Ongoing Design review report Reliability Assurance (RAD) Ongoing collection of evidence for assurance Reliability Lead Ongoing – Final completion in Y months Subsea RAD
  • 27. 27 • Project implementation should keep R&M at it’s core: – potential failure modes that could affect system performance have been analysed and managed – all design decisions are consistent with the R&M goals – the qualification of equipment has addressed the R&M required by the project – all documented lessons learnt from previous projects have been incorporated – the supply chain is fully integrated into the reliability and technical risk management program
  • 28. 28 Feedback • Lesson learnt from operations regarding reliability performance of equipment should be included as an input into projects.
  • 29. 29 Reliability Assurance Document (RAD) • The purpose of Reliability Assurance is to demonstrate that the Availability requirements have been met and the extent to which the availability goals will be achieved. • This contains statements on: – Goals, requirements and strategy – Project technical risk category – Description of work carried out and findings – Recommendations for the project – Lessons learnt
  • 30. 30 Reliability Assurance Document (RAD) • The purpose of Reliability Assurance is to demonstrate that the Availability requirements have been met and the extent to which the availability goals will be achieved. • This contains statements on: – Goals, requirements and strategy – Project technical risk category – Description of work carried out and findings – Recommendations for the project – Lessons learnt
  • 31. 31 Process Flow Diagram (PFD) Reliability Block Diagram (RBD)
  • 32. 32 Process Flow Diagram (PFD) Reliability Block Diagram (RBD)
  • 38. 0 38 Failure Mode Effects and Criticality Analysis (FMECA)
  • 39. 0 39 Failure Mode Effects and Criticality Analysis (FMECA)
  • 40. 0 40 Failure rate data is dynamically linked with other Reliability Activities to ensure consistent use of data.
  • 41. 0 41
  • 42. 42 1. The subsea system has an average production availability of 97.4% ± 1.4% over it’s 30 year design life. 2. This is equivalent to an average production rate of 10,700,000 sm3 per year and average production loss of 270,000 sm3 per year. 3. The estimated production volume over the design life is 321,000,000 sm3 per year. 4. The average production availability does not meet the production availability target of 98.5%. 5. A breakdown of the contributor to overall unavailability.
  • 43. 43 1. The subsea system has an average production availability of 97.4% ± 1.4% over it’s 30 year design life. 2. This is equivalent to an average production rate of 10,700,000 sm3 per year and average production loss of 270,000 sm3 per year. 3. The estimated production volume over the design life is 321,000,000 sm3 per year. 4. The average production availability does not meet the production availability target of 98.5%. 5. A breakdown of the contributor to overall unavailability.
  • 44. 44 Production Availability Probability Distribution (PAPD) 1. The PAPD is based upon 500 simulation runs. 2. There is a 6.8% probability that the production availability target of 98.5% shall be achieved over its 30 year design life. 3. There is a 50% probability that the system shall achieve an average production availability of 97.4% or above over its 30 year design life.
  • 45. 45 Production Availability Probability Distribution (PAPD) 1. The PAPD is based upon 500 simulation runs. 2. There is a 6.8% probability that the production availability target of 98.5% shall be achieved over its 30 year design life. 3. There is a 50% probability that the system shall achieve an average production availability of 97.4% or above over its 30 year design life.
  • 46. 46 Relative Contribution to System Unavailability 1. The main system relative contributors to overall unavailability are Production (36.9%), MEG DS (22.4%) and HIPPS (17.1%). Overall System
  • 47. 47 Relative Contribution to System Unavailability 1. The main system relative contributors to overall unavailability are Production (36.9%), MEG DS (22.4%) and HIPPS (17.1%). Overall System
  • 48. 48 Relative Contribution to Production Unavailability 1. The main system relative contributors to overall unavailability are Production (36.9%), MEG DS (22.4%) and HIPPS (17.1%). 2. The main Production relative contributors to system unavailability are Pipelines (54.7%), Wells (37.5%) and Hydrate (7.8%) respectively. Overall System > Production
  • 49. 49 Relative Contribution to Production Unavailability 1. The main system relative contributors to overall unavailability are Production (36.9%), MEG DS (22.4%) and HIPPS (17.1%). 2. The main Production relative contributors to system unavailability are Pipelines (54.7%), Wells (37.5%) and Hydrate (7.8%) respectively. Overall System > Production
  • 50. 50 Relative Contribution to Wells Unavailability Overall System > Production > Wells 1. The main system relative contributors to overall unavailability are Production (36.9%), MEG DS (22.4%) and HIPPS (17.1%). 2. The main Production relative contributors to system unavailability are Pipelines (54.7%), Wells (37.5%) and Hydrate (7.8%) respectively. 3. The main Wells relative contributors to system unavailability are X-Tree (37.6%), Tubing (24.4%) and SCSSV (18.0%) respectively.
  • 51. 51 Relative Contribution to Wells Unavailability Overall System > Production > Wells 1. The main system relative contributors to overall unavailability are Production (36.9%), MEG DS (22.4%) and HIPPS (17.1%). 2. The main Production relative contributors to system unavailability are Pipelines (54.7%), Wells (37.5%) and Hydrate (7.8%) respectively. 3. The main Wells relative contributors to system unavailability are X-Tree (37.6%), Tubing (24.4%) and SCSSV (18.0%) respectively.
  • 52. Cost Benefit Curve - Reliability 52 Reliability Cost • How much Reliability and Maintainability should be designed into a product? • Acquisition cost includes cost of implementing and operating a reliability program in addition to the overall development and production costs associated with the product (Material, labour, taxes, insurance, admin, marketing etc.) • Failure Cost includes warranty costs, liability costs, replacement or repair costs and loss of market share. Total Cost (t) = Acquisition cost (t) + Failure Cost (t) Minimum Required Reliability Minimum Cost
  • 53. Cost Benefit Curve - Maintainability 53 Maintenance Frequency Cost • Planned Maintenance (PM) Cost includes labour and equipment required. This will capture any incipient failures. • Corrective Maintenance Cost includes costs associated with downtime, repair crews, equipment required and parts required. Total Cost (t) = CM cost (t) + PM cost (t) Optimum PM
  • 56. 56
  • 57. 57
  • 58. Reliability Strategy Summary • API RP 17N is a structured approach which can be used to optimise R&M goals. • Reliability Strategy is an iterative process which is used throughout all project phases. • Reliability Assurance Document (RAD) records the findings from various reliability activities (RAM, FTA, FMECA, TRC, TRL etc.) and demonstrates whether the production availability targets have been met. • PLASMA is an integrated reliability tool which provides a live platform for Operators, Contractors and Vendors to understand and demonstrate that R&M goals have been met. 58
  • 59. Any Questions? 59 UK Office Contact: Dr. Mehran Pourzand Address: Monaco Engineering Solutions Ltd., Randalls Road, Leatherhead, Surrey, KT22 7RY Telephone: +44(0) 1372 227 997 Fax: +44(0) 1372 227 998 Website: www.mes-international.com Enquiries: mesuk.info@mes-international.com Contact Us

Editor's Notes

  • #4: Need A better Picture for this slide…..
  • #6: Need A better Picture for this slide…..
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  • #11: Some software packages denote production availability as production efficiency. This is not as defined in International Standards (ISO 20815).
  • #12: Some software packages denote production availability as production efficiency. This is not as defined in International Standards (ISO 20815).
  • #13: Some software packages denote production availability as production efficiency. This is not as defined in International Standards (ISO 20815).
  • #14: Some software packages denote production availability as production efficiency. This is not as defined in International Standards (ISO 20815).
  • #16: Some software packages denote production availability as production efficiency. This is not as defined in International Standards (ISO 20815).
  • #17: Some software packages denote production availability as production efficiency. This is not as defined in International Standards (ISO 20815).