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Digitalization of Engineering Silos Howell

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Integrated asset model can provide a single source of the truth across the full stream for how molecules and operating conditions behave at the unit- and asset-wide level;
Thereby providing actionable insights into production activities that can drive convergence in decision-making and action across organizational silos.

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Digitalization of Engineering Silos Howell

  1. 1. Proprietary Information Andy Howell CEO GasTech 19 Why digitalization is only scratching the surface, and how deeper integration of Engineering silos can increase production
  2. 2. 2Proprietary Information Analytics Most accurate and robust 1st principles process and energy system simulator SOFTWARE TECHNOLOGY Driving excellence Manufacturing Execution Systems Planning; Scheduling; Production accounting; Operations management Automation Procedural automation; Advanced process control; Real-time optimization Human Effectiveness Operator training simulator Operational Excellence Consulting Asset optimization; Enterprise team effectiveness; Digitalization CONSULTING AND SERVICES Assuring excellence Modeling Services 1st principles simulation models; Asset data models IT Services Requirements; Specification; Design; Development; Integration; Implementation; Cloud deployment Sustainability Services Training; Technical support; Software maintenance Powered by The Cloud Digitalization:Thescalableapplicationof digital technologies,andalignmentoforganizationalcapabilities
  3. 3. Proprietary Information A production-centeredplantis thebiggestenablerfor achievingoptimalpositioningonthecostcurve 3 Efficiency • Improve total energy efficiency and reduce CO2 emissions • Ensure profitable operation by optimizing asset lifecycle and supply chain • Realize flexible and lean production Safety & Security • Achieve zero incident operations • Improve overall HSSE management • Comply with legislation, regulations and standards Human Reliability • Capture and transfer knowledge • Build autonomous and intelligent expert system • Create better workforce- development training Availability & Reliability • Eliminate unplanned outages • Maximize plant uptime while minimizing lifecycle costs • Realize predictive operation and maintenance Production Priorities Engineering Priorities • Improve project economics • Mitigate project risks • Optimize delivery schedule • Realize flawless engineering • Flexibly manage changes • Comply with industry standards
  4. 4. Proprietary Information Thedegreesof freedomavailableforoptimizedproduction arelimitedoncetheplantisbuilt. 4
  5. 5. Proprietary Information Valueengineeringof theplantfacilitatesassetandsupply chainoptimizationoncetheplanthasbecomeoperational 5 Source: The Oxford Institute for Energy Studies
  6. 6. Proprietary Information Theindustryhasverycomplexanditerativeworkprocesses fordeliveringtheseprojects,withmanyindividualsilos 6 Reservoir team They live in a stochastic world of probabilities. Commercial people Focused on maximum revenue generation as a function of system availability. Well teams Live in a world of maximizing well production and minimizing well damage. Drilling teams Their focus is on the optimal method of drilling and well design. Facilities people Their focus is on how best to achieve the design point through the facilities. Manage conditions changes and allow e.g. for future secondary lift mechanisms.
  7. 7. Proprietary Information A deterministicdesignpointhasto beproducedfroma worldof stochasticprobabilities 7 Multiple factors need consideration and behave in a non-linear manner • Reservoir production potential profile • Reservoir fluid composition • Changing power demands • Flow regimes and pipe diameters • Type, size and cost of associated production and export facilities • Secondary and tertiary lift mechanisms • Well lift and type curves • Well decline and composition changes Reservoir team They live in a stochastic world of probabilities. Drilling teams Their focus is on the optimal method of drilling and well design. Facilities people Their focus is on how best to achieve the design point through the facilities. Manage conditions changes and allow e.g. for future secondary lift mechanisms. Commercial people Focused on maximum revenue generation as a function of system availability. Well teams Live in a world of maximizing well production and minimizing well damage.
  8. 8. Proprietary Information Digitalizationenablesachievementof engineeringand productionprioritiesfaster,moreefficientlyandeffectively 8 • An integrated asset model enables more effective economic evaluation and portfolio management decisions • Takes a holistic approach to deliver the required return on capital • Creates the major cultural change that will see a step change in profitability
  9. 9. Proprietary Information Digitalizationenablesachievementof engineeringand productionprioritiesfaster,moreefficientlyandeffectively 9 • Acts as an operations model to maximize production as reservoir and well conditions change • Maximizes use of precious power and separation resources as the asset moves into secondary lift models • Allows for maximum demanning / centralization of assets
  10. 10. Proprietary Information Business’ssuccessreliesontheabilityto interactand cooperateof twoworldsdon’tspeakthesame“language” 10 Correlation-based analytics tools that history match physics models Process and production facility engineers Understand the value of first principles simulation models to design and operate the asset Reservoir engineers Models have a heavy dependency on data-driven, correlation-based analytics Intensive and continuous exercise of using production data in an attempt to update the reservoir history match with time-scales in years Know that chemical and physical interactions and dependencies must be respected Need to draw safe and meaningful conclusions for real-time to hours and days
  11. 11. Proprietary Information Upstream reservoir engineers To unlocktrappedvaluean‘ensemble’approachof an integratedassetmodel(IAM)is needed 11 More precision is needed in subsurface reservoir engineering, involving unification of first principles and correlation-based analytics Relax their quest for ultra-precision within the small operating window of what’s happening today Look to the next 1-24 months operating window, which may be much wider than today’s operation and needs the convenience of correlation-based analytics Process and production facility engineers Use surface actual flowrates and compositions to calibrate the sub- surface reservoir model Mix physics models with data driven models in digital environments with secure data access and reconciliation and corporate asset models
  12. 12. Proprietary Information DigitalizationRoadmap READINESS SITUATIONAL AWARENESS DECISION MAKING OPERATIONAL EXECUTION VALUE SUSTAINMENT 12
  13. 13. Proprietary Information Case study A single modelling environment to boost FPSO production by 9,000 b/d and deliver incremental profits of $180 million per annum Challenge Matching well deliverability to topside power generation and compressor availability for 20+ wells feeding a “self-powered” FPSO that has processing capacity of 90,000 b/d of oil, 10-20 MMscfd of fuel gas handling and treated water injection rates of up to 30,000 b/d 13
  14. 14. Proprietary Information ComplexCoupledSub-SurfaceModel Well models & sub-surface templates FPSO processing trains Gas Turbine power generation Inlet Manifold set pressures from onboard compressors 14
  15. 15. Proprietary Information Well models & sub-surface templates MP / HP Compressors On board Power Turbines ComplexCoupledSub-SurfaceModel 15
  16. 16. Proprietary Information IntegratedPower-Production-PressureModel 16
  17. 17. Proprietary Information Case study A single modelling environment to boost FPSO production by 9,000 b/d and deliver incremental profits of $180 million per annum Solution • No CAPEX investment • Uses only onboard equipment • Matches sub-surface to surface pressure, flows • First time power-production balance implemented • Tested on physical asset • New production regime confirmed • Production rates and value attained 17
  18. 18. Proprietary Information Key aspects of this approach Benefits  Digital combination of data & physics  Engineering workflows optimized for productivity and efficiency  Integrated asset model rigorously represents the whole asset  Design changes are made knowing the impact to the entire asset  Native integration of specialized models 18August 2018  Workflow integration across disciplines  Data transfer is seamless and invisible to the user  Consistent thermodynamics / flash calculations  De-risking of commissioning / start-up activities  Reduced time to complete design and transition to operation
  19. 19. Proprietary InformationProprietary Information Operationalized foroperational performance management andoptimization 19 Production planning Production scheduling Plant-wide optimization Production accounting Yield & Energy improvement Unit monitoring Equipment monitoring Real-time optimization and APC Operator decision support Asset Performance Management (APM) Operator training Backcasting Supply chain planning PI Simulator Supplychainoptimization Productionmanagement
  20. 20. Proprietary Information Conclusions Proprietary Information The integrated asset model can provide a single source of the truth across the full stream for how molecules and operating conditions behave at the unit- and asset-wide level; Thereby providing actionable insights into production activities that can drive convergence in decision-making and action across organizational silos. 20

Integrated asset model can provide a single source of the truth across the full stream for how molecules and operating conditions behave at the unit- and asset-wide level; Thereby providing actionable insights into production activities that can drive convergence in decision-making and action across organizational silos.

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