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Proprietary Information 1
Unit PerformanceMonitoring:
v7and PI-AF
KBCSoftwareUsersConference
Houston,TX
11-12September2018
MikeAylott,KBC
Proprietary Information 2
Deliveringtheplan
Planning (LP) and
Scheduling Tools
Plant Unit
Operations
Plan Margin
Performance and
Capability Updates
Unit Performance Monitoring
• Monitoring and Reporting vs. Target
• Yield Performance
• KPI’s
• Mass Balances
• Troubleshoot
• Best Practices
Economic Data
Plant Capability
Data
Actual
Production
Actual MarginDelta = Lost Profit Opportunity
Operating Targets
and Parameters
Proprietary Information 6
UPMprocessat most sites typically boggeddown
Daily meeting
•Data in spreadsheet form, many historian variables,
limited insights
• Unreconciled data
•No predictive view of performance for current operations
Troubleshooting
•Data analysis – build specific trends of the data
•Ad hoc simulation
Updates for planning
•Data for planners, LP model updates.
•Compiling and reconciling performance data
Reporting
•Gathering data, calculating the metrics, KPI’s and
reporting
•Monthly, Quarterly reports
•Fleet monitoring
•Best Practice propagation
Time-,data-&people-intensive
Proprietary Information 7
Rigoroussimulationis key toUnit PerformanceMonitoring
BUT…
• Skillset – simulation considered expert
tool
• Time – Unit engineers have limited
time
• Typically used for design tasks not
operations support tasks
• Lack of integration with enterprise
systems
• Not automated
• Not integrated with business workflows
ROLE
• Predict performance
• Reconcile operating data
• Facilitate Actual vs Predict comparisons
• Standardize KPI calculations
• Generate complex KPI’s
• Generate data for planning and
scheduling tools
• Support for unit optimization
• Support for what if analysis
Proprietary Information 8
Petro-SIMprovidesaframeworkformodel-based
performancemonitoring
• With a set of functionalities
• Direct links to process & lab data
• Data conditioning
• Data reconciliation
• Monitoring and Normalization
modes in reactor models
• Reporting tools for KPIs
• Common reporting
• Database integration
• Monitoring module in KBC Explorer
application
• LP Submodel calculator
• Automation
• Workflows
• That enable daily automated
calculations for
• Overall mass balance reconciliation
• Standardized yield reporting
• Unit health assurance
• Simulation model assurance
• LP Submodel assurance
• And that supports
• Quantifying performance vs.
targets
• Troubleshooting deviations
• Deciding when to update models
• Standardization of best practices
September 12, 2018
Proprietary Information 9
UpcomingPetro-SIM7 streamlinesthetools
• Meters
• Now connect to multiple historians, reducing need to link meters on same
stream
• Meter corrections updated
• Can show additional properties in meter, allowing you to compare Measured,
Simulated and LP in one place
September 12, 2018
Proprietary Information 10
UpcomingPetro-SIM7 streamlinesthetools
• New mechanism for handling
LP Submodel Calculators
with Base Delta unit
operation
• Builds automatically from LP
Utility or configured manually
from your own submodel
• Solves internally: no need to
use Excel
• Generates flowsheet streams
with full composition and
property information
• Lets you readily integrate
results into meters and into
MPI utility
September 12, 2018
Proprietary Information 11Proprietary Information
KBCdecidedto
integratePetro-SIM
andPItoexpandUnit
Performance
Monitoring
• Goal is to make results available to
wide audience
• Common dashboards across circuit
• Mix data from multiple sources not just
Petro-SIM results
• Ability to export beyond to BI and data
analytics
• Medium is to mirror Petro-SIM
model structure in PI Asset
Framework
Proprietary Information 12
A DigitalTwinresolvesthe‘BUT…’
Traditional Simulation Digital Twin
An accurate representation of a
particular operating case
An accurate representation of the asset
over its full range of operation
Provide a snapshot in time
Capture the full history and future of the
asset
Built on an ad-hoc basis to answer a
question
Automated, regular model runs. Built-in
to business workflows
Owned and used by isolated groups on
an ad-hoc basis
Centralised single version of the truth,
used by everyone, outputs delivered
directly to the business, strong
governance systems
Alignswithanddrivesbusinessdata
model
Proprietary Information 13
Processmodelandplantdataviewaligned
PI System
Petro-SIM
Explorer
UPM Portal
Petro-SIM
UI
Monitoring
Service
Petro-SIM
Engine
Petro-SIM
Database
PI
Archive
PI
Vision
PI Asset
Framework
PI-RDBMS
Picks up results on timer
PI System PI SystemPetro-SIM
Model structure information
PI System
Specialist’s Petro-SIM Portal
SERVERDESKTOP
Proprietary Information 14
Petro-SIM– OSIsoftintegration- WhatDoesThisMean?
• Exploits PI Asset Framework technology to mirror Petro-
SIM model structure in PI world
• Automated creation of PI AF template from Petro-SIM
• Automated update of PI AF template if Petro-SIM model
changes
• Automated notification to Petro-SIM if PI tag changes
• Automated population of Petro-SIM model with current PI
data
• Automated population of PI database with Petro-SIM
outputs
• Automated calculation of unit performance analytics
• Petro-SIM reports presented via PI Vision portal
• Drill-down into Petro-SIM models from PI Vision
14
Proprietary Information 15
PIAFBuilderautomatescreationof PI AFdatamodel
• Petro-SIM to PI
model mapping
managed by Petro-
SIM Explorer
application
• You can configure
how much is
mapped across
and which data is
stored as PI tags
• Application setup
run for each
application
mapped to AF with
re-sync on
basecase change
Proprietary Information 16
UPMPortalbuiltaroundPI Visiondashboards
• Dashboards in
PI Vision can
incorporate
results from
Petro-SIM
alongside other
PI data
• Key UPM results
consumed
through PI
Vision
• Expert users can
perform deeper
analysis through
direct
interaction with
Petro-SIM
Proprietary Information 18
UPMprocesshasevolvedtoenablebetterdecisions,faster
Daily meeting
•Consistent calculation of unit metrics, and
performance analysis
•Indications of change in key unit performance
metrics (e.g. mass balance, yields, …)
•View of predicted, plan vs actual
Troubleshooting
•Consistent view of unit data
•Consistent tools for troubleshooting issues
•Simple to share information with SME’s and engage
Updates for planning
•Identify and communicate variations between plan,
prediction and actuals
•Dramatically reduced effort to update models and
improve the frequency of updates
•Update yield vectors in a timely way
Management view
•Consistent view of unit performance across units
Coordination with COE
•Consistent calculation of metrics, analytics for each
unit
•Comparison of unit performance across units / sites
•Better troubleshooting & optimization
Proprietary Information 19
Screenshots
September 12, 2018
Proprietary Information 20
Petro-SIMExplorerPIAFBuilder
• PI AF Builder tool
accessed from an
Application’s
Maintain page
• Lets you configure
which types of
object and
attribute map
across to AF
• Lets you configure
application name,
location etc. in AF
September 12, 2018
Proprietary Information 21
PISystemExplorer–Let’syouseewhatgetsbuilt
• Element
tree
contains
mapped
items
based on
underlying
templates
also built
by PI AF
Builder tool
• Structures
for overall
balance
report and
any Petro-
SIM multi-
case
reports you
have get
mapped
across also
September 12, 2018
Proprietary Information 22
DatamappedtoPIPointsforperformance
• Values for
mapped
elements &
attributes
pumped
into PI
Archive
using PI
RDBMS tool
running on a
schedule
September 12, 2018
Proprietary Information 23
DatanowavailabletoPIVisiondashboards
• Dashboard
can display
any value
available in
your AF
structure or
in PI Archive
September 12, 2018
Proprietary Information 24
AndtoanyPI-awaretool
• Microsoft Excel
• PI Process Book
• Third-party BI
tools through PI
Connectors
• Etc.
September 12, 2018
Proprietary Information 25September 12, 2018

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KBC unit monitoring Petro-SIM and PI-AF

  • 1. Proprietary Information 1 Unit PerformanceMonitoring: v7and PI-AF KBCSoftwareUsersConference Houston,TX 11-12September2018 MikeAylott,KBC
  • 2. Proprietary Information 2 Deliveringtheplan Planning (LP) and Scheduling Tools Plant Unit Operations Plan Margin Performance and Capability Updates Unit Performance Monitoring • Monitoring and Reporting vs. Target • Yield Performance • KPI’s • Mass Balances • Troubleshoot • Best Practices Economic Data Plant Capability Data Actual Production Actual MarginDelta = Lost Profit Opportunity Operating Targets and Parameters
  • 3. Proprietary Information 6 UPMprocessat most sites typically boggeddown Daily meeting •Data in spreadsheet form, many historian variables, limited insights • Unreconciled data •No predictive view of performance for current operations Troubleshooting •Data analysis – build specific trends of the data •Ad hoc simulation Updates for planning •Data for planners, LP model updates. •Compiling and reconciling performance data Reporting •Gathering data, calculating the metrics, KPI’s and reporting •Monthly, Quarterly reports •Fleet monitoring •Best Practice propagation Time-,data-&people-intensive
  • 4. Proprietary Information 7 Rigoroussimulationis key toUnit PerformanceMonitoring BUT… • Skillset – simulation considered expert tool • Time – Unit engineers have limited time • Typically used for design tasks not operations support tasks • Lack of integration with enterprise systems • Not automated • Not integrated with business workflows ROLE • Predict performance • Reconcile operating data • Facilitate Actual vs Predict comparisons • Standardize KPI calculations • Generate complex KPI’s • Generate data for planning and scheduling tools • Support for unit optimization • Support for what if analysis
  • 5. Proprietary Information 8 Petro-SIMprovidesaframeworkformodel-based performancemonitoring • With a set of functionalities • Direct links to process & lab data • Data conditioning • Data reconciliation • Monitoring and Normalization modes in reactor models • Reporting tools for KPIs • Common reporting • Database integration • Monitoring module in KBC Explorer application • LP Submodel calculator • Automation • Workflows • That enable daily automated calculations for • Overall mass balance reconciliation • Standardized yield reporting • Unit health assurance • Simulation model assurance • LP Submodel assurance • And that supports • Quantifying performance vs. targets • Troubleshooting deviations • Deciding when to update models • Standardization of best practices September 12, 2018
  • 6. Proprietary Information 9 UpcomingPetro-SIM7 streamlinesthetools • Meters • Now connect to multiple historians, reducing need to link meters on same stream • Meter corrections updated • Can show additional properties in meter, allowing you to compare Measured, Simulated and LP in one place September 12, 2018
  • 7. Proprietary Information 10 UpcomingPetro-SIM7 streamlinesthetools • New mechanism for handling LP Submodel Calculators with Base Delta unit operation • Builds automatically from LP Utility or configured manually from your own submodel • Solves internally: no need to use Excel • Generates flowsheet streams with full composition and property information • Lets you readily integrate results into meters and into MPI utility September 12, 2018
  • 8. Proprietary Information 11Proprietary Information KBCdecidedto integratePetro-SIM andPItoexpandUnit Performance Monitoring • Goal is to make results available to wide audience • Common dashboards across circuit • Mix data from multiple sources not just Petro-SIM results • Ability to export beyond to BI and data analytics • Medium is to mirror Petro-SIM model structure in PI Asset Framework
  • 9. Proprietary Information 12 A DigitalTwinresolvesthe‘BUT…’ Traditional Simulation Digital Twin An accurate representation of a particular operating case An accurate representation of the asset over its full range of operation Provide a snapshot in time Capture the full history and future of the asset Built on an ad-hoc basis to answer a question Automated, regular model runs. Built-in to business workflows Owned and used by isolated groups on an ad-hoc basis Centralised single version of the truth, used by everyone, outputs delivered directly to the business, strong governance systems Alignswithanddrivesbusinessdata model
  • 10. Proprietary Information 13 Processmodelandplantdataviewaligned PI System Petro-SIM Explorer UPM Portal Petro-SIM UI Monitoring Service Petro-SIM Engine Petro-SIM Database PI Archive PI Vision PI Asset Framework PI-RDBMS Picks up results on timer PI System PI SystemPetro-SIM Model structure information PI System Specialist’s Petro-SIM Portal SERVERDESKTOP
  • 11. Proprietary Information 14 Petro-SIM– OSIsoftintegration- WhatDoesThisMean? • Exploits PI Asset Framework technology to mirror Petro- SIM model structure in PI world • Automated creation of PI AF template from Petro-SIM • Automated update of PI AF template if Petro-SIM model changes • Automated notification to Petro-SIM if PI tag changes • Automated population of Petro-SIM model with current PI data • Automated population of PI database with Petro-SIM outputs • Automated calculation of unit performance analytics • Petro-SIM reports presented via PI Vision portal • Drill-down into Petro-SIM models from PI Vision 14
  • 12. Proprietary Information 15 PIAFBuilderautomatescreationof PI AFdatamodel • Petro-SIM to PI model mapping managed by Petro- SIM Explorer application • You can configure how much is mapped across and which data is stored as PI tags • Application setup run for each application mapped to AF with re-sync on basecase change
  • 13. Proprietary Information 16 UPMPortalbuiltaroundPI Visiondashboards • Dashboards in PI Vision can incorporate results from Petro-SIM alongside other PI data • Key UPM results consumed through PI Vision • Expert users can perform deeper analysis through direct interaction with Petro-SIM
  • 14.
  • 15. Proprietary Information 18 UPMprocesshasevolvedtoenablebetterdecisions,faster Daily meeting •Consistent calculation of unit metrics, and performance analysis •Indications of change in key unit performance metrics (e.g. mass balance, yields, …) •View of predicted, plan vs actual Troubleshooting •Consistent view of unit data •Consistent tools for troubleshooting issues •Simple to share information with SME’s and engage Updates for planning •Identify and communicate variations between plan, prediction and actuals •Dramatically reduced effort to update models and improve the frequency of updates •Update yield vectors in a timely way Management view •Consistent view of unit performance across units Coordination with COE •Consistent calculation of metrics, analytics for each unit •Comparison of unit performance across units / sites •Better troubleshooting & optimization
  • 17. Proprietary Information 20 Petro-SIMExplorerPIAFBuilder • PI AF Builder tool accessed from an Application’s Maintain page • Lets you configure which types of object and attribute map across to AF • Lets you configure application name, location etc. in AF September 12, 2018
  • 18. Proprietary Information 21 PISystemExplorer–Let’syouseewhatgetsbuilt • Element tree contains mapped items based on underlying templates also built by PI AF Builder tool • Structures for overall balance report and any Petro- SIM multi- case reports you have get mapped across also September 12, 2018
  • 19. Proprietary Information 22 DatamappedtoPIPointsforperformance • Values for mapped elements & attributes pumped into PI Archive using PI RDBMS tool running on a schedule September 12, 2018
  • 20. Proprietary Information 23 DatanowavailabletoPIVisiondashboards • Dashboard can display any value available in your AF structure or in PI Archive September 12, 2018
  • 21. Proprietary Information 24 AndtoanyPI-awaretool • Microsoft Excel • PI Process Book • Third-party BI tools through PI Connectors • Etc. September 12, 2018