Asset Risk Management
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Transcript of Asset Risk Management
Asset Risk Management
DNV Consulting
[email protected] by: Sture Angelsen ( )Kim A. Jørgensen ([email protected])
Version Slide 210 May 2006
Asset Risk Management Services - Vision
Det Norske Veritas Consulting are offering Asset Risk Management Services in different forms, tailored to client needs. These slides provides guidance to the content of Asset Risk Management Services within DNV Consulting.
…Maximum Revenue at lowest possible Cost without compromising Safety
Version Slide 310 May 2006
Asset Risk Management Services - Services
Asset Risk Management Services incorporates analysis and optimisation of well systems, sub sea systems, process plant systems, transportation systems and reliability analysis of safety systems. Such analysis is in general categorised as Reliability-, Availability- and Maintainability Analysis (RAM), and is often conducted during early phases of projects to compare alternative designs, but also during operational phases to aid in decision-making regarding operational procedures, e.g. maintenance approaches and/or operating strategies.
Our services:
Asset Investment risk assessment and solution screening
Asset Technology and lifecycle economics
Asset Appraisal
Asset Optimisation
Asset Safety System Reliability
Version Slide 410 May 2006
Objectives
Feasibility Design Operations Optimisation
Compare performance of various development options (compare NPV):
New technology (subsea separation vs. multi-phase pumping)
Assess impact of ‘new’environment on asset performance (Harsh vs. Benign waters)
Impact of having spare production wells
Compare performance of various development options (compare NPV):
New technology (subsea separation vs. multi-phase pumping)
Assess impact of ‘new’environment on asset performance (Harsh vs. Benign waters)
Impact of having spare production wells
Define minimum availability/reliability targets for specific equipment items to meet overall project availability target
Forecasting of OPEX production efficiencies for input into project economics
Predict intervention vessel work load for input into mid/long term planning
Define minimum availability/reliability targets for specific equipment items to meet overall project availability target
Forecasting of OPEX production efficiencies for input into project economics
Predict intervention vessel work load for input into mid/long term planning
What is optimum intervention strategy?
What is impact of improving intervention response time?
How many spares should I keep?
What will be the impact of ageing facilities/wells on achieved performance
What is optimum intervention strategy?
What is impact of improving intervention response time?
How many spares should I keep?
What will be the impact of ageing facilities/wells on achieved performance
Version Slide 510 May 2006
RAM Analysis - Main tasks
1. Establish the study basis - concept definition
2. Hierarchical system breakdown
3. Develop failure model
4. Develop intervention and repair model
5. Develop simulation model and calculations
6. Identify contributors to production unavailability and key differentiators
7. Identification of improvements (changes in concepts/design and/or operating strategies)
Version Slide 610 May 2006
RAM Analyses - MotivationCash-flow
Time
Revenue
CAPEXOPEX
RISKEX
Profit = Max {Revenue - CAPEX - OPEX - RISKEX}
Version Slide 710 May 2006
RAM Analyses - Motivation
Risk DriversRisk Drivers
Ranked Risks from RAM AssessmentRanked Risks from RAM Assessment
OPE
X/R
ISK
EX ($
)O
PEX
/RIS
KEX
($)
Rank RisksRank Risks
Version Slide 810 May 2006
RAM Analyses - Motivation
OPE
X/R
ISK
EX ($
)O
PEX
/RIS
KEX
($)
Expe
nditu
re ($
)Ex
pend
iture
($)
Unwanted pictureUnwanted picture
Version Slide 910 May 2006
RAM Analyses - Motivation
OPE
X/R
ISK
EX ($
)O
PEX
/RIS
KEX
($)
Expe
nditu
re ($
)Ex
pend
iture
($)
Wanted pictureWanted picture
Version Slide 1010 May 2006
RAM Analyses - Motivation
CO
ST
Alt 1 Alt 2 Alt 3
OPEX
RISKEX
CAPEXCheapest?
Best
Version Slide 1110 May 2006
RAM Analyses - Motivation
OPEX/RISKEX ($)
CAPEX ($)
Total CostOptimized ExpenditureOptimized Expenditure
Profit = Revenue - CAPEX - OPEX - RISKEX
CAPEX ($)
CO
ST($
)
Version Slide 1210 May 2006
Deliverables
The main objective of the RAM analysis DNV offers, is to be a basis for decision-making wrt. solutions and measures towards a more profitable and safe operation of your plants. Possible outcomes of a RAM analysis are listed below:
- Reduced downtime and thus increased production- More stable product delivery to clients - Reduced operational- and maintenance costs- Increased safety- Higher confidence towards clients
Contribution to unavailability for the SSL consept60 MSm3/sd
0.0 %start up start +
3wells21+3wells
endplateau
no comp
startcomp
endplateaucomp
MEG distribution system
Onshore terminal
Multiphase pipeline (2*30")
Export riser SLOR
Compression platform
Import riser SLOR
Completion, cluster, infieldflowlines and Control System
Contribution to unavailability for the SSL consept60 MSm3/sd
0.0 %start up start +
3wells21+3wells
endplateau
no comp
startcomp
endplateaucomp
MEG distribution system
Onshore terminal
Multiphase pipeline (2*30")
Export riser SLOR
Compression platform
Import riser SLOR
Completion, cluster, infieldflowlines and Control System
Reference Projects
Version Slide 1410 May 2006
LNG transport chain modelling
Jetty1
CASE
OptimiseO
Jetty2
TimeUSeast
Start
StartRoundTrip
Season
08.02.200500:00ti
Factory
StoresContent
USgulf
SelectDest
Docking&Offhire
a
b
TimeUSgulf
SailHome
Season
TimeStatistics
Season
NoVisibilitycount
event
Vessel_Init
StoresContent
StoresContent
NoVisibility
NoVisibility
OptimiseOptimiser
JettiesAvailable
JettiesAvailable
change
#ULLoading
LoadingResource
USeast
StrongWind
StrongWind
StrongWind
a
b
SailOut
Season 0 is summer1 is winter
USeast
USeast
USgulf
USgulf
USeastUSgulf
P SI
F R
O
AtlanticWeather
JettiesAvailable
CRITICAL ISSUEHow many LNG ships and what storage capacities are needed to ensure LNG production 24/7?
Security of delivery (Reliability)
SOLUTION
Building a discrete event simulation model of the transport chain in Extend
Including effects of:- Weather- Vessel off-hire- Vessel docking- Seasonal variations- Lack of product- Inability to unload
VALUE DELIVEREDDetermination of optimal fleet and vessel size
Determination of optimal storage capacity onshore
Identification of bottlenecks
Ability to test different scenarios regarding speed, fleet size, vessel size, storage capacity, weather predictions etc
Version Slide 1510 May 2006
Life cycle analysis during concept selectionHydro – Ormen Lange
CRITICAL ISSUE
The Ormen Lange field is the first deepwater discovery to be developed offshore Norway
located 130 km from the West Coast of Norway at a depth of about 1000 meters
extremely rough seabed conditions, long tie-back distance and demanding weather conditions
SOLUTION
DNV developed a production availability and intervention model to quantitatively assess the financial consequences associated with equipment failures
VALUE DELIVERED
solutions were ranked with respect to the ability to meet future sales gas demands and the NPV of deepwater interventions
enabling the client to find the right balance between capital expenditures, revenue and operating expenditures.
Version Slide 1610 May 2006
Concept selection – GjøaGaz de France
CRITICAL ISSUESMake the optimal field development decision for a field with complex risk and uncertainty picture
Statoil develops the field, but GdF takes over in the production phase. Gjøa is GdF’s first operation
SOLUTIONEstablish an all-inclusive economic model to rank alternative development concepts
Review of: - Technical and economical content of proposed concepts- Relevance and criticality of the identifies parts of the defined concepts- Key project external risks- GdF’s decision criteria
Account for costs of failing equipment (RiskEx)
Assess value of investing in flexibility and robustness
VALUE DELIVEREDRisk-based ranking of alternative development concepts
Tool to debottleneck and optimise the selected concept
Reference documentation describing Best Practice uncertainty assessment to the GdF organisation
NPV FPSO Subsea Compliant Tower
SubseaM ean=943,2374
FPSOM ean=-1419,586
CPTM ean=1181,808
F36: X <=4084,795%
F36: X <=-2233,665%
0
0,5
1
1,5
2
2,5
-8 -6 -4 -2 0 2 4 6 8
Values in Thousands
Val
ues
in 1
0^ -4
Version Slide 1710 May 2006
Operational cost reduction – mature fieldsNorsk Hydro – Brage
CRITICAL ISSUEReduce OPEX without compromising production and safety
Reduce manning
SOLUTIONExtensive DNV experience in operational cost cutting
Technical operational & maintenance competence
Facilitation of the change process
Statement of the feasibility of the proposed concept
VALUE DELIVEREDOperational cost reduction by 25% per year
Version Slide 1810 May 2006