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SS OPTMZ-01 Part 1SimSci OptimizationOpening Session

Optimization Update andIntegrated Yield Accounting

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© 2013 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys or its subsidiaries.All third party trademarks and service marks are the proprietary marks of their respective owners.

John Hernandez

Tom Kinney

/Group/SimSci

ROMeo 6.1 Guiding Objectives

Strengthen customer partnerships by developing features that meettheir needs with online optimization software by:

• Meeting Customer Commitments

• Expanding into Utilities Optimization Market

• Enhancing Usability, Improve Configuration Efficiency andMaintainability

• Solution Extensions

Slide 3

Strengthen customer partnerships by developing features that meettheir needs with online optimization software by:

• Meeting Customer Commitments

• Expanding into Utilities Optimization Market

• Enhancing Usability, Improve Configuration Efficiency andMaintainability

• Solution Extensions

What’s New in ROMeo 6.1

• First wave of KBC Reactors, NHTR

• Information Stream

• Utilities Optimization (ERTO)

• LP Update Manager

• Off-sites Integration

• MBM Enhancements• Component balance

Slide 4

• First wave of KBC Reactors, NHTR

• Information Stream

• Utilities Optimization (ERTO)

• LP Update Manager


• MBM Enhancements• Component balance

Utilities Enhancements with 6.1

• Single platform: Process RTO and Utilities Optimization=>flexibility of training on a single tool

• Enhance usability=> utility models fit for Utilities/Energy optimization

• New Energy Real-Time Optimization (ERTO) Models:

• Boiler Model

• Steam Turbine Model

• Heat Recovery Steam Generator Model (HRSG)

• Gas Turbine Generator Model (GTG)

Slide 5

• Single platform: Process RTO and Utilities Optimization=>flexibility of training on a single tool

• Enhance usability=> utility models fit for Utilities/Energy optimization

• New Energy Real-Time Optimization (ERTO) Models:

• Boiler Model

• Steam Turbine Model

• Heat Recovery Steam Generator Model (HRSG)

• Gas Turbine Generator Model (GTG)

ERTO Boiler

• Simple (Steam Side) Model

– Option to Free Boiler Feed Water Within Model

• Detailed (Exhaust Side) model

• Internal or External Fuel & Air Streams

• Fixed or Calculated Efficiency

Slide 6

• Simple (Steam Side) Model

– Option to Free Boiler Feed Water Within Model

• Detailed (Exhaust Side) model

• Internal or External Fuel & Air Streams

• Fixed or Calculated Efficiency

ERTO Boiler

• Boiler2 icon – lay down

Slide 7

ERTO Boiler – Simple Model

• Simple Flowsheet

– Feed Water, Steam and Blowdown

– Fixed Efficiency

Slide 8

ERTO Boiler – Simple Model

• Simple Model

• Calculated Efficiency


– Fuels and Air

– Choose 1 free fuel

Slide 9

• Simple Model

• Calculated Efficiency


– Fuels and Air

– Choose 1 free fuel

ERTO Steam Turbine

• Same Model as Original Steam Turbine

• Ability to Free Feed Rate Through Model

Slide 10

ERTO HRSG

• Can be Paired with the GTG

• Fired or Unfired

• Simple and Detailed models

• Internal or External Fuel Side Streams

Slide 11

ERTO GTG

• Paired with the HRSG Model

• No Feed or Product Streams

• Curves for:

– Max Power

– IGV Position

– Heat Rate

– Unfired Efficiency

Slide 12

• Paired with the HRSG Model

• No Feed or Product Streams

• Curves for:

– Max Power

– IGV Position

– Heat Rate

– Unfired Efficiency

Usability Improvement with 6.1Enhance Usability, Improve Building Efficiency and Maintainability

• Customers desire improved sustainability and maintainability ofROMeo applications

• Update features to provide graphical features that make it easier todetermine how the model is configured and related.

• New Information Stream Model

• Ergonomic Enhancements – 33 New keyboard shortcuts

• RTS Macro Manager• Centralized management of scripts used in the Real-Time-System (RTS)

Enhance Usability, Improve Building Efficiency and Maintainability

• Customers desire improved sustainability and maintainability ofROMeo applications

• Update features to provide graphical features that make it easier todetermine how the model is configured and related.

• New Information Stream Model

• Ergonomic Enhancements – 33 New keyboard shortcuts

• RTS Macro Manager• Centralized management of scripts used in the Real-Time-System (RTS)

InfoStream

• Graphically Link or Equate variables

• Graphically Link Parameters

• Equations in the form of a + b (Var – c)

Slide 14

InfoStream

Slide 15

InfoVectors

• User Defined Sets of Variables and/or Parameters that can be Viewedin InfoStream

Slide 16

InfoVectors

Slide 17

RTS Macro Manager

• Same as the Model Macro Manager

• Standard Macros

– XML in Server\System\Config

– Can be Updated and Shared

• Sequence Macros

– Available to the Current Sequence Only

Slide 18

• Same as the Model Macro Manager

• Standard Macros

– XML in Server\System\Config

– Can be Updated and Shared

• Sequence Macros

– Available to the Current Sequence Only

New Reactor Capabilities with 6.1

Customer Commitments

• Customers desire the ability to use 3rd-party reactor models in ROMeo, like theNaphtha Hydrotreater Model

• Build interfaces to SimSuite 4.1

• New SimSuite 4.1 N-HTR Model

Slide 19

Customer Commitments

• Customers desire the ability to use 3rd-party reactor models in ROMeo, like theNaphtha Hydrotreater Model

• Build interfaces to SimSuite 4.1

• New SimSuite 4.1 N-HTR Model

NHTR (PetroSim 4.1) Reactor

• New Naphtha Hydrotreater Reactor

• KBC’s PetroSim 4.1

• Runs as part of PetroSim, not as a dll

• Options to Open the PetroSim GUI whenRunning the Model in ROMeo

• Requires KBC PetroSim Installation and *.ksc Data File

• Tip: Keep the PetroSim Model as Small as Possible

Slide 20

• New Naphtha Hydrotreater Reactor

• KBC’s PetroSim 4.1

• Runs as part of PetroSim, not as a dll

• Options to Open the PetroSim GUI whenRunning the Model in ROMeo

• Requires KBC PetroSim Installation and *.ksc Data File

• Tip: Keep the PetroSim Model as Small as Possible

Solution Extensions with 6.1

Integration of ROMeo with other applications

• Component and heat balance capability to MBM

• Connect to Invensys Off-sites Suite

• Updates to planning applications

Slide 21

Integration of ROMeo with other applications

• Component and heat balance capability to MBM

• Connect to Invensys Off-sites Suite

• Updates to planning applications

MBM Component and Heat Balance

• Options to Either Report or Balance Components

– Not Linked to Thermo

– Split Fractions

• Option to Report Heat Balance

– Simplified User input of Duty per Node

Slide 22

• Options to Either Report or Balance Components

– Not Linked to Thermo

– Split Fractions

• Option to Report Heat Balance

– Simplified User input of Duty per Node

MBM Component and Heat Balance

Report ComponentBalances

Reconcile ComponentBalances

Report HeatBalances

Slide 23

Report HeatBalances

Offsites Integration with ROMeo 6.1• Objectives

• Leverage Offsites Crude composition data for ROMeo Optimization• Leverage ROMeo product properties with Offsites Product Blending

• Value• Improved Crude Feed composition improves ROMeo Optimization results• Optimized Product property data improves Offsites product blending output

Engineering or RTOModel

Slide 24

Engineering or RTOModel

Crude/FeedData

ProductProperties

Offsites Operations

Off-sites Integration with 6.1 via EDI

• SQLOLEDB Connection Designed to Work Specifically with Offsites

• Option to Import All Tags when First Creating Port Group

(This option goes away once the group has been created)

Slide 25

Updating LP Models with ROMeo 6.1

• Update any LP model with rigorous model results (vectors)

• Accommodate the variety in the LP model structures

• Reliable and easy

Capabilities

Process

Slide 26

• Update any LP model with rigorous model results (vectors)

• Accommodate the variety in the LP model structures

• Reliable and easy

• Import LP model coefficients from ROMeo rigorous model run(s)

• Planner retains control of the Mapping process

• Ability to make custom unit conversions if required

• Export results in spread sheet form, ready for use in LP

• Retains record of all model updates and ability to trend coefficient

values over time

Process

LP Update Manager

PlantRTDB

RTO Model

Plant DataCrude/FeedData

DCS

Slide 27

LP VectorsLP UpdateManager

RefineryLP

LP Update Manager Overview

Slide 28

LP Update Manager Environment

Slide 29

All updatedcoefficientsare “blocked”

Updated LP Sub-model or Module

Slide 30


What’s Coming Up in 6.1.

ROMeo 6.1.1

• Spiral Integration

• Information Stream Improvements

• REFSim 4.1 Integration

Slide 31

ROMeo 6.1.1

• Spiral Integration

• Information Stream Improvements

• REFSim 4.1 Integration

ROMeo 6.1.1

• Spiral Integration• On track for ROMeo 6.1.1 release

• MINLP• Mixed Integer non-linear optimization

• Planned for ROMeo 7 release

Slide 32

• MINLP• Mixed Integer non-linear optimization

• Planned for ROMeo 7 release

• 64-Bit Operation• ROMeo servers to be native 64-bit

• KBC v3.3 models currently 32-bit, v4.1 will be 64-bit compatible(not a barrier, separate processor)

• Spyro 64-bit release uncertain pending commitment from Technip

• Release will be a ROMeo v7 issue

ROMeo Intelligence ROMeo iMonitor

• ROMeo 6.0 release with Intelligence:• Integration component to push data from ROMeo to WWIntelligence

environment

• Uni-directional data flow: ROMeo WWIntelligence

• Addressed need to:• Monitor ROMeo RTO applications and Key Performance Indicators• Provide user-accessibility via the browser

• Invensys is moving to incorporate iMonitor into the ROMeoSuite• Extends the features that are offered by the WWIntelligence integration• Users can interact with ROMeo via the web browser (data entry

capability)

• Invensys will maintain and support iMonitor moving forward

Slide 33

• ROMeo 6.0 release with Intelligence:• Integration component to push data from ROMeo to WWIntelligence

environment

• Uni-directional data flow: ROMeo WWIntelligence

• Addressed need to:• Monitor ROMeo RTO applications and Key Performance Indicators• Provide user-accessibility via the browser

• Invensys is moving to incorporate iMonitor into the ROMeoSuite• Extends the features that are offered by the WWIntelligence integration• Users can interact with ROMeo via the web browser (data entry

capability)

• Invensys will maintain and support iMonitor moving forward

ROMeo iMonitor

• Orientation between Shell and Invensys initiated

• Code and documentation supplied to Invensys

• Next steps:• Analyze code and documentation

• Conduct additional orientation and instruction webinars

• Design architecture for system in Invensys offices

• Define features, if any to add

• Lodge code and platform development into Invensys development workflowstructure

• Compile and test code on Invensys system

• Planned release with ROMeo 6.2

Slide 34

• Orientation between Shell and Invensys initiated

• Code and documentation supplied to Invensys

• Next steps:• Analyze code and documentation

• Conduct additional orientation and instruction webinars

• Design architecture for system in Invensys offices

• Define features, if any to add

• Lodge code and platform development into Invensys development workflowstructure

• Compile and test code on Invensys system

• Planned release with ROMeo 6.2

Leveraging ROMeo within the InvensysPortfolio

ROMeo

Operations Planning

Slide 35

ROMeo

Inventory ManagementProduct Quality Tracking

Blend Execution

High-level Roadmap

• EfficiencyEnhancements

• ERTO 1st release

• LP Bridge-Rxtrs


• MBM ComponentBalance

• 64-Bit Support

• MINLP

• Integration withSpiral

• iMonitor

• Line Up Manager

• ISOMAR Rxtr

• Improved FCCModel

• ImprovedIntegration withSpiral

• NH3 Rxtr Models

• Enhanced APCIntegration

Slide 36

Patches• Released as required• Customer driven

• EfficiencyEnhancements

• ERTO 1st release

• LP Bridge-Rxtrs


• MBM ComponentBalance

• 64-Bit Support

• MINLP

• Integration withSpiral

• iMonitor

• Line Up Manager

• ISOMAR Rxtr

• Improved FCCModel

• ImprovedIntegration withSpiral

• NH3 Rxtr Models

• Customer Satisfaction• Leverage via Integration

• Ease of Use• Partnering with our customers

Focused Development

Integrated Yield Accounting

© 2013 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys or its subsidiaries.All third party trademarks and service marks are the proprietary marks of their respective owners.

ErrorSolver User Environment

Slide 38

ModelsDetails and Drilldown

Analysis

Models

Integration to Off-sites

Slide 39

Integrated Mass Balance & Reconciliation

Process DataLab. Data

DR results

Purchase and sales

2

3

4

RTDBRTDB

Automatic DR

MaterialBalance

MaterialBalance

DR ModelsDR Models

Yield AccountingReporting System

ERPERP

Tank Inventory &Movement System

Slide 40


1

RTDBRTDB

LIMSLIMS

MaterialBalance

MaterialBalance

CompositionTracking

CompositionTracking

Tank Inventory &Movement SystemTank and

movementdata

Modeling Capability for Mass, Volumeand Energy

H2 - Energy Fuel Gas/LNG - Energy Fuel Oil - Energy

H2 Supply H2 Consumption Fuel Gas Supply Fuel Oil Supply

Heater&

Boileretc.

Slide 41

ProcessYield DR Models

OFF-SITES


Rundown

Charge

Questions&

Answers

Slide 42

Questions&

Answers

AdditionalSlides

Slide 44

AdditionalSlides

Opportunities

• Refineries that have blend operations and optimizationpractices are potentially not leveraging two sources ofinformation to improve efficiency and profitability.

Refiners are faced with the challenge of updating their planning modelswhich affect the yield patterns. ROMeo models of the conversion unitscan be used to generate accurate predicted yield patterns and yieldsensitivity values (delta vectors) for the LP.

Actual crude blend data should be used as input to the ROMeoconversion models, resulting in more accurate yield vectors for the LPModels

Slide 45

• Refineries that have blend operations and optimizationpractices are potentially not leveraging two sources ofinformation to improve efficiency and profitability.

Refiners are faced with the challenge of updating their planning modelswhich affect the yield patterns. ROMeo models of the conversion unitscan be used to generate accurate predicted yield patterns and yieldsensitivity values (delta vectors) for the LP.

Actual crude blend data should be used as input to the ROMeoconversion models, resulting in more accurate yield vectors for the LPModels

Optimizing the Planning Process

• Do we have a close connection between our Planning and Scheduling

functions and our day-to-day Plant Optimization strategies and

applications?

• Do we have consistency between the models used in the planning

process and the conversion units?

• How can we better coordinate between what the planner needs for

his LP updating and what the plant engineer can provide?

Slide 46

• Do we have a close connection between our Planning and Scheduling

functions and our day-to-day Plant Optimization strategies and

applications?

• Do we have consistency between the models used in the planning

process and the conversion units?

• How can we better coordinate between what the planner needs for

his LP updating and what the plant engineer can provide?

Connecting disparate data sources

Crude Oil Manager

Crude Oil Blending

Crude Oil Testing

UpdatedASSAYS

Compositions,properties, etc.

Actualcompositions,properties, etc.

Crude oilvalues

Optimalsetpointtargets

Some key questions:

• How can existingdata be leveraged?

• How can we becertain of thequality of the data?

• How can theassociated tasks becompleted with easeand confidence?

• Which aspects ofthe operation orbusiness will beimproved?

• What are thefinancial benefits?

• Ultimately how candata be exchangedand work processesbe sustained?

Slide 47

Refinery LP

Product Blending

Actualcompositions,properties, etc.

Base anddelta vectorcoefficients

Operatinggoals &targets Stream

properties

Inventories &blend stocks

Optimalsetpointtargets

Starting point - the use of information sources based on best available data

Some key questions:

• How can existingdata be leveraged?

• How can we becertain of thequality of the data?

• How can theassociated tasks becompleted with easeand confidence?

• Which aspects ofthe operation orbusiness will beimproved?

• What are thefinancial benefits?

• Ultimately how candata be exchangedand work processesbe sustained?

Tank InventoriesLifting Schedule

Real timeOptimization

Real timeOptimization

What are the results:

• Crude Oil Blending

• Improve crude oil management

• Reduced upsets to operations

• Crude Unit Optimization

• More profitable crude unit operations

• Operations

• Reduced Plan vs. Actual gap

• More profitable unit operations

• Feed Stock Acquisitions

• More profitable crude oil and feed stock

purchases

• Product Blending

• Inventory Forecast

• Reduced product cost

Summary of concepts:

• Addressing some of the most important

operational and business decisions such as feed

stock purchases, plant shutdowns, product

qualities, etc.

• System developments; Crude Blending to ROMeo

and ROMeo LP Update Manager

• Extend existing applications to benefit each other

through sharing of data

• Sustainable solutions; completing task with

necessary ease and confidence

• Additional value from existing investments

• The specific aspects of the operation or business

will be improved

Slide 48

What are the results:

• Crude Oil Blending

• Improve crude oil management

• Reduced upsets to operations

• Crude Unit Optimization

• More profitable crude unit operations

• Operations

• Reduced Plan vs. Actual gap

• More profitable unit operations

• Feed Stock Acquisitions

• More profitable crude oil and feed stock

purchases

• Product Blending

• Inventory Forecast

• Reduced product cost

$0.10 to $1.00 per barrel processed

Summary of concepts:

• Addressing some of the most important

operational and business decisions such as feed

stock purchases, plant shutdowns, product

qualities, etc.

• System developments; Crude Blending to ROMeo

and ROMeo LP Update Manager

• Extend existing applications to benefit each other

through sharing of data

• Sustainable solutions; completing task with

necessary ease and confidence

• Additional value from existing investments

• The specific aspects of the operation or business

will be improved

Actions more profitable & reliableoperations

Potential Benefits from Improved LPModels

Refinery Coker FCC Reformer DSL HT FCC Pre HT Alky IsomRefinery 1 1 1 1 1 1 1 1Refinery 2 1 1 1 1 1 1Refinery 3 1 1 1 1 1Refinery 4 1 1 1 1 1 1

Refinery 1 16650 36000 27450 46800 40500 12150 11250Refinery 2 27000 24000 32000 28000 9000 11000Refinery 3 8900 8000 10000 2900 3000Refinery 4 14000 12000 9000 18000 4000 1200

Refinery 1 0.35 0.6 0.25 0.15 0.1 0.25 0.2Refinery 2 0.35 0.6 0.25 0.15 0.1 0.25 0.2Refinery 3 0.35 0.6 0.25 0.15 0.1 0.25 0.2Refinery 4 0.35 0.6 0.25 0.15 0.1 0.25 0.2


$/bbl 0.25 0.50 0.75Refinery 1 135000 0.38 11.1 22.3 33.4 16.7Refinery 2 100000 0.34 8.3 16.5 24.8 11.3Refinery 3 29450 0.35 2.4 4.9 7.3 3.4Refinery 4 52000 0.35 4.3 8.6 12.9 6.0

Total from Unitcontributions

Estimated Annual Benefits per Unit ($ MM/yr)

16.711.33.46.0

Unit Capacity (bbl/day)

Estimated Benefits ($/bbl)

Capacitybbl/day

Estimated Savings Range $ MM/yr$ MM/yr

Slide 49

Refinery Coker FCC Reformer DSL HT FCC Pre HT Alky IsomRefinery 1 1 1 1 1 1 1 1Refinery 2 1 1 1 1 1 1Refinery 3 1 1 1 1 1Refinery 4 1 1 1 1 1 1

Refinery 1 16650 36000 27450 46800 40500 12150 11250Refinery 2 27000 24000 32000 28000 9000 11000Refinery 3 8900 8000 10000 2900 3000Refinery 4 14000 12000 9000 18000 4000 1200



$/bbl 0.25 0.50 0.75Refinery 1 135000 0.38 11.1 22.3 33.4 16.7Refinery 2 100000 0.34 8.3 16.5 24.8 11.3Refinery 3 29450 0.35 2.4 4.9 7.3 3.4Refinery 4 52000 0.35 4.3 8.6 12.9 6.0

Total from Unitcontributions

Estimated Annual Benefits per Unit ($ MM/yr)

16.711.33.46.0

Unit Capacity (bbl/day)

Estimated Benefits ($/bbl)

Capacitybbl/day

Estimated Savings Range $ MM/yr$ MM/yr

LP Model Challenges• How do we update any LP model with rigorous flow sheeting models?

• There is a great variety in the LP model structures

• Any approach or method should be reliable and easy

Goals

Slide 50

• Import LP model coefficients from ROMeo rigorous model run(s)

• Planner retains control of the Mapping process

• Ability to make custom unit conversions if required

• Export results in spread sheet form, ready for use in LP

• Retains record of all model updates and ability to trend coefficient

values over time

Case Comparison Interface –Coker Example

Slide 51

Case Comparison Interface –Reforming Example

Slide 52

LP Update Manager Overview

Slide 53

LP Sub-model or Module Template

Slide 54

MappingControls

Imported Rigorous Model Values

Slide 55

Generated Worksheet – updated coefficients

Slide 56

Tracking Coefficient Values

Slide 57


Updated LP Sub-model or Module

Slide 58


LP Updating with Rigorous Models

PlantRTDB

RTO Model

Plant DataCrude/FeedData

DCS

Slide 59

LP VectorsLP UpdateManager

RefineryLP

Integrated Off-sites, Optimization &Planning

Leverage real-time information usage between Off-sitesand Optimization:

•Provide most accurate real-time information to enableoptimization of Crude Units

•Provide bulk stream properties to product inventory andblending operations

•Streamline workflow and planning, scheduling, oilmovements and optimization to minimize value loss

Slide 60

Leverage real-time information usage between Off-sitesand Optimization:

•Provide most accurate real-time information to enableoptimization of Crude Units

•Provide bulk stream properties to product inventory andblending operations

•Streamline workflow and planning, scheduling, oilmovements and optimization to minimize value loss

Reduction in off-spec streams leaving the Crude unit

Achieve tighter quality and blend control on products

Why Perform Data Reconciliation?

Receipt(Purchase)

Shipment(Sales)

Feedstock inventory Product inventoryProcess

Accounting loss

Physical loss

Accounting loss

Slide 61

Increasing accuracy of measurementsusing Data Reconciliation

Material Balanceusing Data Reconciliation

Data Reconciliation will produce more accurate and reliable data.

Measurement Reliability - Bad Actors

Measurement error of flow meterin normal refinery/petrochemical plant

Slide 62

Slide62

(Measurement Error)

Where can Losses Occur?

Receipt ShipmentFeedstockinventory

ProductinventoryProcess

Slide 63

Physical Losses• Fugitive Emissions• Leakage and Misdirection• Major plant disturbance

Accounting Losses• Measurement

Required Data for Closing the Balance

Receipt ShipmentFeedstockinventory

ProductinventoryProcess

Slide 64

1) Daily purchase &sales data of materials

2) Daily Tank inventory& movement data

3) RTDB process data of each plant

Slide 64

Receipts and Shipments

Receipts Shipments

Slide 65

• Cargo tickets• Pipeline transfer tickets• Transport Certificates

Potential Losses• Fugitive during transport• Data management

Off-sitesRaw Materials

Products

Slide 66

Products

Potential Losses• Stuck gauges• Leaks/misdirection• Emissions• Calibration• Breathing

• Gauging• Temperature• Composition

• Dippings• Filling/Emptying• Blending

Inventory Management

Measured level

PumpableVolume

Ullage TankCapacity

MaximumWorkingVolume

MinimumWorkingVolume

TotalObservedVolume

LAHHH, Interlock, no TIS alarmLAHH, Movement shutdownMaximum Working LevelLAH

Operator setpoint

LALMinimum Working LevelLALL, movement shutdown

• Measure, validate and track tankinventories in real-time

Slide 67

Measured level

PumpableVolume

Ullage TankCapacity

MaximumWorkingVolume

MinimumWorkingVolume

TotalObservedVolume

LAHHH, Interlock, no TIS alarmLAHH, Movement shutdownMaximum Working LevelLAH

Operator setpoint

LALMinimum Working LevelLALL, movement shutdown

• Calculations to adjust data for materialtypes, blending, conditions, and othertank activities

Order & Movement Management• Must unify the work & data flows

between marketing, planning &scheduling, operations, &accounting.

Slide 68

• Must manage all tank, unit,pipeline/dock/rack terminal movementcategories, including blendingoperations, and other complex orders

Emissions Monitoring

LE

VE

L

TIME

FILL

HOLD

EMPTY

Breathing Losses

ExpellationLosses Evaporation

Losses

LE

VE

L

TIMETIME

FILL

HOLD

EMPTY

Breathing Losses


Losses

Slide 69

LE

VE

L

TIME

FILL

HOLD

EMPTY

Breathing Losses


Losses

LE

VE

L

TIMETIME

FILL

HOLD

EMPTY

Breathing Losses


Losses

Composition and Tank Quality

• Product Composition Tracking

• Tank Quality Integration

Slide 70

E

Mx1 … Mxn

My1 … Mym

E

Mx1 … Mxn My1 … Mym

Equipment configurations

– Flow-by

– Fill/Draw

Movement Automation

• Line-up Checks and Validations• Integration with Field Devices

• Reduced product contamination, slops,stock loss, off-spec product release,demurrage

Slide 71

• Line-up Checks and Validations• Integration with Field Devices

• Reduced product contamination, slops,stock loss, off-spec product release,demurrage

Process Units

Flow metersTemperature gauges

Pressure gaugesLab and field quality data

Potential Booked Losses from• Calibration• Properties changed, multiple phases• Different service• Instrument faults• Plugged meter connections• Eroded orifice or nozzle• Signal losses• Misalignment of quality data

Slide 72

Potential Booked Losses from• Calibration• Properties changed, multiple phases• Different service• Instrument faults• Plugged meter connections• Eroded orifice or nozzle• Signal losses• Misalignment of quality data

Potential for Human Errors

Slide 73

Feeds Products Inventory change No Loss?

Automated Data Gathering

Slide 74

Electronic data gathering everywhere possible eliminates thepossibility of human error in the data

ModelValidation

VariableClassification

Missing FlowDetection&FaultyMeasurementDetection

DataReconciliation

Optimization

Steps in Closing the Balances

GrossGross ErrorErrorDetectionDetection

Data ReconciliationData Reconciliation

RepresentativeRepresentativeModelModel

Slide 75

ModelValidation

Missing FlowDetection&FaultyMeasurementDetection

InaccurateMeasurement Value

Accurate Reconciled Valuewith Material Balance

Material Balance(Constraint)

Increase AccuracyIncrease Accuracy

Accurate Optimized Valuewith all kinds of Constraints(such as min/max of stream)

ErrorSolver User Environment

Slide 76

ModelsDetails and Drilldown

Analysis

Models

Integration to Off-sites

Slide 77

Easy Access to Details

Slide 78

ReconciliationReporting

Slide 79

Summary Reports

Slide 80

Loss Analysis Views

Slide 81

Modeling Capability for Mass, Volumeand Energy

H2 - Energy Fuel Gas/LNG - Energy Fuel Oil - Energy


Heater&

Boileretc.

Slide 82

ProcessYield DR Models

OFF-SITES


Rundown

Charge

Integrated Mass Balance & Reconciliation


DR results

Purchase and sales

2

3

4

RTDBRTDB

Automatic DR

MaterialBalance

MaterialBalance

DR ModelsDR Models

Yield AccountingReporting System

ERPERP

Tank Inventory &Movement System

Slide 83


1

RTDBRTDB

LIMSLIMS

MaterialBalance

MaterialBalance

CompositionTracking

CompositionTracking

Tank Inventory &Movement SystemTank and

movementdata

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