Blending with deltav

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  • Virtually every liquid refinery product is blended to spec prior to sale. More attention has been given to the “ProcessUnits”, but poor blending can eat away at margins as fast as anything. We have a solution to help you reduce reblending and giveaways.
  • Most blending is performed in-line today. It avoids the need for extra tankage and mixing and generally provides a more uniform product when dealing with large quantities characteristic of most refineries. In-line blending requires proper instrumentation and controls.
  • Our Digital Blending Package is an application solution which incorporates many potential products and services from Emerson/Fisher-Rosemount. This list of elements is explained in more detail in later slides. Not every project will require every element, we have can provide any and all of these and more if required.
  • Again, these are standard capabilities, not limits. Pacing is an important requirement for digital blending and keeps the blend components in ratio even if one of the component streams becomes flow limited or constrained. It allows the blend rate to be set by recipe or by component availability. We also keep track during the blend so if there is any discrepancy, it is blended out over the remainder of the blend. Naturally, we include the ability to ramp up and down for the beginning and end of a blend. It is also possible to stop and restart or resume blending if necessary.
  • The blend algorithms can be modified in virtually any way necessary to achieve the customer’s objectives. Basic customization is actually built into the cost of the product. Other functions can be provided as required.
  • This slide shows even more options. DeltaV allows essentially unlimited calculational and reporting capabilities. We can even add Batch software with S88 recipe management for complex applications like lube oils or high performance specialty/racing fuels.
  • This product should handle all but the most complex blending applications, but adding even more streams is easy. An example of the decoupling routine would be octane and RVP control. Components used to control octane (eg MTBE) and RVP (Butane) will affect both octane and RVP. The basic recipe will provide a coarse control, but analyzers can be used to trim octane and RVP. The decoupler overcomes the problem of interaction with the trim control using those components. The other features should be fairly obvious and are covered in more detail in the functional description. Note: I have updated this slide 3/27/00 to show 16 components and 8 additives as standard. Some of the other pieces including the functional description may not yet be updated.
  • This is the most visible part of the package from the oerator’s perspective. We have designed the OI for ease of use leveraging the features of DeltaV and our experience with blending.
  • In summary…. We can help identify potential savings and deliver a system to maximize those savings over time with a solution that offers the fastest payback and lowest risk possible. And after the new blender controls are up and running, our tools and services will ensure sustained performance over the lifetime of the system. We can easily adapt our solution to meet your special and unique requirements. With our resources and position as a global leader in this business, you can count on us to deliver results from start to finish!
  • Blending with deltav

    1. 1. Digital Inline Blending with DeltaV by Lou Heavner Emerson Process Management
    2. 2. Agenda <ul><li>What is Blending? </li></ul><ul><li>How do we do it? </li></ul><ul><ul><li>Blend Ratio Control </li></ul></ul><ul><ul><li>Blend Quality Control & Optimization </li></ul></ul><ul><li>Conclusions </li></ul>
    3. 3. What is Blending <ul><li>Definition – Uniform mixing of 3 or more different streams to produce a product with specific properties </li></ul><ul><li>Problems: </li></ul><ul><ul><li>Flow Constraints </li></ul></ul><ul><ul><li>Inventory Constraints </li></ul></ul><ul><ul><li>Accuracy & Precision </li></ul></ul><ul><ul><li>Poor Mixing (Tank stratification) </li></ul></ul><ul><li>Approaches </li></ul><ul><ul><li>Sequential Blending </li></ul></ul><ul><ul><li>Continuous Inline Blending </li></ul></ul>
    4. 4. History of Blending <ul><li>Prior to 1990 </li></ul><ul><ul><li>Most blending is sequential </li></ul></ul><ul><li>1990 – 2000 </li></ul><ul><ul><li>Most refinery (gasoline & diesel) blenders upgraded to inline blending </li></ul></ul><ul><ul><li>Some chemical blending converted to inline </li></ul></ul><ul><li>2000+ </li></ul><ul><ul><li>Gasoline blenders forced to consider optimization </li></ul></ul><ul><ul><li>Most remaining sequential blenders upgrade to inline </li></ul></ul>
    5. 5. Who Uses Blenders <ul><li>Refineries </li></ul><ul><ul><li>Gasoline </li></ul></ul><ul><ul><li>Diesel </li></ul></ul><ul><ul><li>Distillates, Solvents, Fuel Oils </li></ul></ul><ul><ul><li>Lube Oils </li></ul></ul><ul><ul><li>Asphalt </li></ul></ul><ul><li>Chemical Plants </li></ul><ul><li>Other </li></ul><ul><ul><li>Baby Formula </li></ul></ul>The blender is the cash register of the refinery
    6. 6. Blender’s Operating Problems <ul><li>Make more grades with more specifications using many more components </li></ul><ul><li>Make the grade on-spec with minimum giveaway, but don’t use too much of any one component </li></ul><ul><li>Don’t contaminate any finished product tanks because of bad line-ups, line fill, leaks, etc. </li></ul><ul><li>This is a manually intensive operation but doing it right is key to the refinery’s profitability </li></ul><ul><li>Increase capacity </li></ul>Blend Operator
    7. 7. Improved Blending Benefits <ul><li>Reduced “Giveaway” - Produce closer to specification, reduced cost of producing average blend </li></ul><ul><li>Reduced Off-spec and co-mingled material </li></ul><ul><li>Reduced Reblending - increased capacity on blenders </li></ul><ul><li>Reduced Component and Product Inventory - reduced working capital </li></ul><ul><li>Reduced Blend period – Blend is on-spec from start to finish </li></ul>Estimated benefits $0.05 to $0.10 per barrel of gasoline blended
    8. 8. Sequential Vs. Ratio Blending <ul><li>One Component at a time </li></ul><ul><li>Economical Method (Lower Installation Cost) </li></ul><ul><li>Line Flush required for proper product quality </li></ul><ul><li>Blend Accuracy assured only for completed batches </li></ul><ul><li>Large volume blends will require long periods of mixing </li></ul><ul><li>In-line or all at same time </li></ul><ul><li>Requires meter and valve for each stream </li></ul><ul><li>Precise control of blending </li></ul><ul><li>Instantaneous alarms on blend available </li></ul><ul><li>Blend quality assured on aborted blends </li></ul>
    9. 9. An Integrated Application Solution <ul><li>Consulting </li></ul><ul><li>High Performance Field Instrumentation </li></ul><ul><ul><li>Control Valves </li></ul></ul><ul><ul><li>Flowmeters </li></ul></ul><ul><li>On-Line Analyzers </li></ul><ul><ul><li>Conventional Analyzers (GC’s, NIR, etc) </li></ul></ul><ul><ul><li>Neural Network based inferential sensors </li></ul></ul><ul><li>DeltaV Controller w/ Proven Configuration & Algorithms </li></ul><ul><li>Blend Quality Control, Optimization & Scheduling </li></ul><ul><li>Turnkey Skid </li></ul><ul><li>Installation, Start-up & Training </li></ul><ul><li>Financing </li></ul>
    10. 10. DeltaV Blend Control Strategy Component Ratio Control FI AI Blend Quality Controller On-Line Blend Optimization Ratio Targets Component Ratio & Quality Targets Component Qualities & Limits Desired Rundown Rate & Flow Limits Blend Planning LP Prices Batches Target Recipes Target Inventories Heel Information Component Quality & Availability Blend Start/Stop DeltaV Blend FC FC FC FC
    11. 11. Modular Design <ul><li>Continuous or Batch (Tank) In-Line Digital Blending </li></ul><ul><li>Recipe Control </li></ul><ul><ul><li>30 recipes with 80 configurable parameters each </li></ul></ul><ul><ul><li>Start/Hold/Resume/Complete logic </li></ul></ul><ul><ul><li>Blend Reports </li></ul></ul><ul><li>Component & Additive Ratio Control </li></ul><ul><ul><li>Pacing (Instantaneous ratio control) </li></ul></ul><ul><ul><li>Memory (Total ratio control) </li></ul></ul><ul><ul><li>Ramp up/down </li></ul></ul><ul><li>Dual Analyzer Trim Control </li></ul><ul><ul><li>Decoupling </li></ul></ul>
    12. 12. Options <ul><li>Basic Customization </li></ul><ul><ul><li>Add/Delete streams </li></ul></ul><ul><ul><li>Custom graphics </li></ul></ul><ul><ul><li>Customer Tags </li></ul></ul><ul><ul><li>Define I/O </li></ul></ul><ul><ul><li>Add/Delete recipes/parameters </li></ul></ul><ul><li>Optimization </li></ul><ul><ul><li>Low level optimization in Analyzer control strategies </li></ul></ul><ul><ul><li>High level optimization integration (OPC) </li></ul></ul><ul><li>Master Blend Control </li></ul><ul><ul><li>Coordination of multiple blend headers </li></ul></ul><ul><ul><li>Integration of header and pipeline control (OM&S) </li></ul></ul>
    13. 13. Options <ul><li>Simulation </li></ul><ul><ul><li>Training </li></ul></ul><ul><ul><li>Testing </li></ul></ul><ul><li>Custom Interfaces (analyzers, optimizers, etc) </li></ul><ul><li>Special Calculations & Functions </li></ul><ul><ul><li>Special equipment scheduling and blend line-ups based on production rates, equipment availability, etc </li></ul></ul><ul><ul><li>Derived Quality Calculations </li></ul></ul><ul><ul><li>Blend grade transition and Tank heel accounting </li></ul></ul><ul><ul><li>Tank Farm Management </li></ul></ul><ul><ul><li>Component, additive & product compatibility checking </li></ul></ul><ul><ul><li>Scheduling and Time-to-completion calculations </li></ul></ul>
    14. 14. Standard DeltaV Blender Algorithms <ul><li>Blend Ratio Control </li></ul><ul><ul><li>Streams </li></ul></ul><ul><ul><ul><li>12 main component flows </li></ul></ul></ul><ul><ul><ul><li>4 additive flows </li></ul></ul></ul><ul><ul><li>2 Analyzer trim controllers with decoupling (Optional) </li></ul></ul><ul><li>Start/Stop Control </li></ul><ul><ul><li>Sequential blender pump and valve line-ups </li></ul></ul><ul><ul><ul><li>1 pump, 1 control valve, 1 flow transmitter per stream </li></ul></ul></ul><ul><ul><ul><li>Delay Sequences, ramping up/down </li></ul></ul></ul><ul><ul><li>Analog & Discrete controls and monitoring of auxiliary equipment </li></ul></ul><ul><ul><ul><li>Feed and Product tank level Monitoring </li></ul></ul></ul><ul><ul><ul><li>Header pressure & temperature control </li></ul></ul></ul>
    15. 15. Blend Ratio Controller <ul><li>Implemented in DeltaV </li></ul><ul><li>Executes every few seconds </li></ul><ul><li>Performs ramping and pacing </li></ul><ul><li>Calculates component flow setpoints from target blend rate and target ratios </li></ul><ul><li>Monitors and compensates for constraints </li></ul><ul><ul><li>Max/Min Flow Rates </li></ul></ul><ul><ul><li>Max/Min Valve Positions </li></ul></ul><ul><ul><li>Header Pressure </li></ul></ul><ul><li>Manages reduced degrees of freedom </li></ul><ul><ul><li>(e.g. 1 or more FC in Manual) </li></ul></ul><ul><li>Smooth hand-off to Start/Stop application </li></ul>
    16. 16. Blend Start/Stop Control <ul><li>Startup Sequencing </li></ul><ul><ul><li>Load Blend Order to on-line system </li></ul></ul><ul><ul><li>Log starting conditions to Blend Order DB </li></ul></ul><ul><ul><li>Flush lines </li></ul></ul><ul><ul><li>Zero totalizers </li></ul></ul><ul><ul><li>Select, Line-up, & Start pumps </li></ul></ul><ul><ul><li>Ramp valves open and put FC’s into control </li></ul></ul><ul><ul><li>Start ratio control, ramp to target rate </li></ul></ul><ul><li>Shutdown Sequencing </li></ul><ul><ul><li>Ramp down blend rate to minimum </li></ul></ul><ul><ul><li>Place FC’s in manual and close valves </li></ul></ul><ul><ul><li>Shutdown pumps </li></ul></ul><ul><ul><li>Log final blend results to Blend Order DB </li></ul></ul>
    17. 17. Operator Interface <ul><li>Primary Operating Displays </li></ul><ul><ul><li>Blend Setup </li></ul></ul><ul><ul><li>Blend Overview Graphic </li></ul></ul><ul><ul><li>Component & Additive loops </li></ul></ul><ul><ul><li>Analyzer Trim Control </li></ul></ul><ul><li>Interlock/Permissive Status Displays </li></ul><ul><ul><li>Active/Bypassed </li></ul></ul><ul><li>Recipe management Displays </li></ul><ul><ul><li>Load recipes </li></ul></ul><ul><ul><li>Modify recipes </li></ul></ul><ul><ul><li>Save recipes </li></ul></ul><ul><li>Support Displays </li></ul><ul><ul><li>Trends </li></ul></ul><ul><ul><li>Alarm management </li></ul></ul><ul><ul><li>Reports </li></ul></ul>
    18. 18. Primary User Views Blend Control Recipe Management Blend Setup Blend Components
    19. 19. Blend Quality Control & Optimization Component Ratio Control FI AI Blend Quality Controller On-Line Blend Optimization Ratio Targets Component Ratio & Quality Targets Component Qualities & Limits Desired Rundown Rate & Flow Limits Blend Planning LP Prices Batches Target Recipes Target Inventories Heel Information Component Quality & Availability Blend Start/Stop DeltaV Blend FC FC FC FC
    20. 20. US Gasoline Regulatory Time Line 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 Each New Regulation Means More Complicated Blending 1994 1993 1992 CARB CBG EPA RFG Phase ll EPA Low Sulfur Gasoline EPA RFG Complex Model CARB MTBE Phase Out EPA RFG Simple Model Mandated Oxygenates
    21. 21. Complicated Gasoline Specifications To meet these specifications is a complicated multivariable control problem
    22. 22. Interactions between Planning, Scheduling, and Control Longer term coordination Production Planning Medium term definition of activities Production Scheduling Blend Control Real-time regulatory control & optimization Initial Conditions Planned production and/or material and resource constraints Current Status and Performance Targets and recipes
    23. 23. Production Planning <ul><li>Linear Program (LP) </li></ul><ul><li>Run monthly (weekly?) with average product demand </li></ul><ul><li>Selects crudes, intermediates, and product purchases for future period (one to three months) to meet demand at maximum profit </li></ul><ul><li>Sets average blend recipes for period (assumed component quantities and qualities) </li></ul>So why isn’t recipe control enough for blending?
    24. 24. Problems <ul><li>Simplified LP models </li></ul><ul><li>Crude assay database </li></ul><ul><li>Component properties are different than that assumed by Planning LP </li></ul><ul><li>Crudes are run individually or in blends different from average resulting from the Planning LP </li></ul><ul><li>Specific batches of gasoline have to be produced to a specific grade with the stocks on hand </li></ul>How can we help solve these problems?
    25. 25. Multi-Period Blend Planning LP <ul><li>Multi-period, multi-blend, executed daily or weekly </li></ul><ul><li>Linearized blend models (recursive LP) </li></ul><ul><li>Determines optimum blends required to meet specific batches of product demands </li></ul><ul><li>Integrated with refinery planning LP </li></ul><ul><li>Inputs: </li></ul><ul><ul><li>Product shipments, prices </li></ul></ul><ul><ul><li>Starting inventories </li></ul></ul><ul><ul><li>Projected component rates & qualities </li></ul></ul><ul><ul><li>Target ending inventories </li></ul></ul><ul><li>Outputs: </li></ul><ul><ul><li>Finished product batches </li></ul></ul><ul><ul><li>Target recipes for each batch </li></ul></ul><ul><ul><li>Target ending inventories for each period (products and components) </li></ul></ul>
    26. 26. Traditional Blend Control Architecture Blend Models AI FC FC FC FC FC AI MPC Dynamic Models Ratio Controls (Ramping & Pacing) Flow Targets Blend Property Control Ratio Targets Blend Scheduling Target Recipe & Availability Blend Models Blend Optimization Product Quality Targets Component Flows
    27. 27. Blend Order Management Blend Order Database Blend Order Management System Blend Start/Stop Blend Order Execution MMI Blend Reports Blend Reporting Blend Optimizer
    28. 28. Blend Order Management <ul><li>User Interface to Blend Order Database </li></ul><ul><li>Security functions </li></ul><ul><ul><li>User authority changes with order status </li></ul></ul><ul><li>Order Entry </li></ul><ul><ul><li>Load from past orders </li></ul></ul><ul><li>Order Management </li></ul><ul><ul><li>Tracks orders through phases </li></ul></ul><ul><ul><li>Confirms required data input before changing phases </li></ul></ul><ul><ul><li>Approvals </li></ul></ul><ul><ul><li>Data validation </li></ul></ul><ul><li>Blend Reporting </li></ul>
    29. 29. Blend Order Data Object <ul><li>Blend Order </li></ul><ul><li>Blend Order ID </li></ul><ul><li>Blended Product Name </li></ul><ul><li>Blender ID </li></ul><ul><li>Order Status </li></ul><ul><li>Planned start/end time </li></ul><ul><li>Target Quantity </li></ul><ul><li>Product Quality Targets & Limits (up to 25 qualities) </li></ul><ul><li>Components and target quantities (up to 15 components) </li></ul><ul><li>Additives and target quantities (up to 10 additives) </li></ul><ul><li>Special instructions </li></ul><ul><li>Actual time for each status change </li></ul><ul><li>Final blend results </li></ul><ul><li>Operator comments </li></ul>
    30. 30. Blend Order Phases Planned Approved Selected Starting Active Stopping Complete Hold Blend Planner in Control Operator in Control
    31. 31. Offline Blend Optimization <ul><li>File based </li></ul><ul><li>Load inputs from stored blend orders </li></ul><ul><li>Alternative objective functions </li></ul><ul><li>Correct for heel </li></ul><ul><li>User can modify all inputs </li></ul><ul><li>Inputs: </li></ul><ul><ul><li>Target recipe </li></ul></ul><ul><ul><li>Desired finished batch size </li></ul></ul><ul><ul><li>Finished product quality specs </li></ul></ul><ul><ul><li>Component qualities and availability </li></ul></ul><ul><ul><li>Heel quantity and qualities </li></ul></ul><ul><li>Outputs: </li></ul><ul><ul><li>Optimal blend qualities </li></ul></ul><ul><ul><li>Optimal recipe </li></ul></ul><ul><ul><li>Final batch size </li></ul></ul>
    32. 32. Blend Optimization RTO+ Real-Time Optimization Engine Inputs <ul><li>Prices </li></ul><ul><li>Target Recipe </li></ul><ul><li>Product Specs </li></ul><ul><li>Component Availability </li></ul><ul><li>Current Heel Quantity & Quality </li></ul><ul><li>Optimum recipe </li></ul><ul><li>Component usage </li></ul><ul><li>Predicted qualities </li></ul>Results Objective Function <ul><li>Maximize Profit </li></ul><ul><li>Minimize Deviation from Target Recipe </li></ul><ul><li>Min/Max use of Specific Component </li></ul>Blend Models
    33. 33. Blend Models Blend Quality Library <ul><li>Density </li></ul><ul><li>Sulfur </li></ul><ul><li>Octane </li></ul><ul><li>ASTM Distillation </li></ul><ul><li>Aromatics </li></ul><ul><li>Olefins </li></ul><ul><li>Benzene </li></ul><ul><li>RVP... </li></ul><ul><li>Total Blended Amount </li></ul><ul><li>Predicted Density </li></ul><ul><li>Predicted Qualities </li></ul>Outputs <ul><li>Component Name </li></ul><ul><li>Amount to be blended </li></ul><ul><li>Density </li></ul><ul><li>Qualities </li></ul><ul><li>Component Name </li></ul><ul><li>Amount to be blended </li></ul><ul><li>Density </li></ul><ul><li>Qualities </li></ul>Components <ul><li>Component Name </li></ul><ul><li>Amount to be blended </li></ul><ul><li>Density </li></ul><ul><li>Qualities </li></ul>Heel <ul><li>Product Name </li></ul><ul><li>Amount </li></ul><ul><li>Density </li></ul><ul><li>Qualities </li></ul>Blend Models
    34. 34. Multiple Optimizer Applications Real-Time Database Blend Order Database Inputs <ul><li>Prices </li></ul><ul><li>Target Recipe </li></ul><ul><li>Product Specs </li></ul><ul><li>Component Availability </li></ul><ul><li>Current Heel Quantity & Quality </li></ul>RTO+ Real-Time Optimization Engine Objective Function <ul><li>Maximize Profit </li></ul><ul><li>Minimize Deviation from Target Recipe </li></ul><ul><li>Min/Max use of Specific Component </li></ul>Blend Models <ul><li>Optimum recipe </li></ul><ul><li>Component usage </li></ul><ul><li>Predicted qualities </li></ul>Results Off-Line Optimizer Inputs <ul><li>Prices </li></ul><ul><li>Target Recipe </li></ul><ul><li>Product Specs </li></ul><ul><li>Component Availability </li></ul><ul><li>Current Heel Quantity & Quality </li></ul>RTO+ Real-Time Optimization Engine Objective Function <ul><li>Maximize Profit </li></ul><ul><li>Minimize Deviation from Target Recipe </li></ul><ul><li>Min/Max use of Specific Component </li></ul>Blend Models <ul><li>Optimum recipe </li></ul><ul><li>Component usage </li></ul><ul><li>Predicted qualities </li></ul>Results On-Line Optimizer Inputs <ul><li>Prices </li></ul><ul><li>Target Recipe </li></ul><ul><li>Product Specs </li></ul><ul><li>Component Availability </li></ul><ul><li>Current Heel Quantity & Quality </li></ul>RTO+ Real-Time Optimization Engine Objective Function <ul><li>Maximize Profit </li></ul><ul><li>Minimize Deviation from Target Recipe </li></ul><ul><li>Min/Max use of Specific Component </li></ul>Blend Models <ul><li>Optimum recipe </li></ul><ul><li>Component usage </li></ul><ul><li>Predicted qualities </li></ul>Results Blend Quality Control
    35. 35. Online Blend Optimization <ul><li>Executes every 5-15 minutes </li></ul><ul><li>Runs for blend orders that are “Active” </li></ul><ul><li>Operator selects objective function </li></ul><ul><li>Outputs recommended results even in open-loop </li></ul><ul><li>Handles reduced degrees of freedom (e.g. 1 or more controllers in Auto) </li></ul><ul><li>Accommodates actual component qualities and blend model update from analyzers or lab </li></ul><ul><li>Inputs: </li></ul><ul><ul><li>Automatically loaded from RT database and blend order system </li></ul></ul><ul><li>Outputs: </li></ul><ul><ul><li>Optimal instantaneous quality targets </li></ul></ul><ul><ul><li>Optimal recipe </li></ul></ul><ul><ul><li>Target batch size </li></ul></ul>
    36. 36. Two Basic Types of Blending Components Product Tankage Total Blend On-Spec Heel Components Product In-Line Each Part of Blend On-Spec Online Analyzers Blend Property Control Online Blend Optimization Product Certification
    37. 37. Accelerated Heel Correction Blend header target adjusted to meet final target Final Target Percent of Blend Octane 0% 100% Heel Current Tank Quality Current Blend Header Target
    38. 38. Blend Execution Component Ratio Control FI AI Blend Quality Controller Ratio Targets Component Qualities & Limits Desired Rundown Rate, Header Pressure, Flow and Valve Limits PI Product Quality Targets FC FC FC FC
    39. 39. Blend Quality Control RTO+ Real-Time Optimization Engine <ul><li>Executes 1-2 minutes </li></ul><ul><li>Specifications can be: </li></ul><ul><ul><li>Target </li></ul></ul><ul><ul><li>Range </li></ul></ul><ul><ul><li>Max or min </li></ul></ul>Blend Models Real-TimeDatabase <ul><li>Current Blend Quality Targets & Specs </li></ul><ul><li>Current Component Ratios </li></ul><ul><li>Blend Quality Analyzers </li></ul><ul><li>Component Limits & Qualities </li></ul><ul><li>Component ratio targets </li></ul><ul><li>Predicted qualities </li></ul><ul><li>Objective Function </li></ul><ul><li>Primary: Meet Quality Specs </li></ul><ul><li>Secondary: Minimize Deviation from Current Recipe </li></ul>
    40. 40. Summary <ul><li>Pre-engineered proven application </li></ul><ul><ul><li>Reduced risk </li></ul></ul><ul><li>Leading Technology hardware platform </li></ul><ul><ul><li>Non-proprietary </li></ul></ul><ul><ul><li>Longest Life Expectancy </li></ul></ul><ul><li>Easily customized and extended </li></ul><ul><ul><li>Integrate virtually any feature or function as required </li></ul></ul><ul><li>Complete Engineering support from start to finish </li></ul><ul><ul><li>Consultation </li></ul></ul><ul><ul><li>Main Automation Contractor </li></ul></ul><ul><li>The Global Industry Leader </li></ul>
    41. 41. Technical Advantages <ul><li>Integrated suite of applications on DeltaV </li></ul><ul><li>Scaleable, Modular </li></ul><ul><li>Automated Startup/Shutdown </li></ul><ul><li>No need for multivariable control layer </li></ul><ul><ul><li>Dynamics are trivial </li></ul></ul><ul><ul><li>No step tests required </li></ul></ul><ul><ul><li>Incorporates non-linearity </li></ul></ul><ul><ul><li>Simplifies architecture </li></ul></ul><ul><li>Integrated set of blend models used by all applications </li></ul><ul><ul><li>Non-linear </li></ul></ul><ul><ul><li>Biased by lab or analyzer data </li></ul></ul><ul><ul><li>Incorporate RFG simple and complex models </li></ul></ul><ul><li>Integrated blend order management & reports </li></ul>
    42. 42. Moving Forward <ul><li>Complete Blend Optimization Modules </li></ul><ul><li>Parallel Effort to Develop Movements & Inventory Solution </li></ul><ul><ul><li>Leverage Terminal Automation Solution </li></ul></ul>

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