Petro-SIM presentation

KBC/Petronas Technology Session
and Round Table Workshop
Proprietary Information
16-17th January 2018
Confidential Information
Petro-SIM
Empowering clients with simple solutions today to address
the complex challenges of tomorrow

Technology Introduction

& Round Table Workshop
Proprietary Information 16-17th January 2018
Technology Introduction
• Vision
 To create an end-to-end technology platform that
revolutionizes supply chain optimization in downstream and
production optimization in upstream across the lifecycle of
an asset
• Mission
 To empower our clients with the simple solutions today to
address complex challenges of tomorrow

Technology in Industry
• What are clients looking for from a technology platform?
 A single source and version of the truth
 Expert uses for non-expert users
 Optimised engineering workflows that reduce the time and
effort from identified problem to implemented solution
 A means to exploit the synergies between different groups
to enhance team work and the effective utilization of
resources

KBC’s Technology Platform Value Proposition
• In operations
 Create realistic plans, identify the gap between the plan and the actual
to convert it into an actionable plan on a routine basis that allows our
clients to achieve realistic production goals
• In design
 Compare different design scenarios over the life of an asset to reduce
design margin and improve the accuracy of forecasting and planning
• Overall
 Create a winning experience for our clients which they are excited to
share with each other

KBC Engineering Simulation Software Suite Overview

Petro-SIM in Downstream
NHTR-SIM Ref-SIM
AROM-SIM
Olefin-SIM
DHTR-SIM
VGOHTR-SIM
ISOM-SIM
HCR-SIM
RHDS-SIM
ALK-SIM
FCC-SIM
DC-SIM
VIS-SIM

Downstream Industry Challenges

Downstream Focus Areas
Strategic Focuses
• Strategic
Projects
• Design and
Capital Projects
• Equipment &
Technology
Purchasing
Supply Chain
Optimisation
• Crude & Product
Purchasing
• Planning &
Scheduling
Meeting
Production Goals
• Automation
• Unit & Equipment
Performance
Management
• Catalyst
Selection &
Monitoring
• Offline
Optimization

Strategic Focuses

Downstream Questions and Challenges
Strategic Projects
Design & Capital
Projects
Equipment &
Technology
Purchasing
• Should you invest, why, how much, and where?
• What is the project ROI, did we achieve it, why or
why not?
• How do you decide where and on what to spend
capital?
• What is the impact of current and future operations on
current equipment performance and our strategy for
reliability, availability, and maintenance?
• Should we invest in upgrading existing technology or
introducing new technology?

Traditional Approach
• Simplistic, linear representations of
reaction units that is not material or heat
balanced
• Very narrow range of applicability
• Does not consider complex interactions
between process units
• Point Solution
KBC’s Approach – Refinery Wide Modelling
• Rigorous, nonlinear kinetic models
• Can handle wide variation in changes to inputs
• Provides a granular understanding of critical
relationships between process units
• Can support all aspects of the lifecycle of a
project
Strategic Focuses

Case Study – Strategic Projects
Client Situation
Client was looking to evaluate the performance of a unique crude in an existing refinery in order to understand their current
capability to process it and future improvements required to capitalise on the new crude
Project Implementation Approach
• Historically, this type of project would have been done using an LP model, but in this case, the client did not have confidence in the ability of the LP to
handle such a unique
• The client created individual reactor and unit models for each process unit
• The client then created an integrated refinery wide model of each of the process units modelling each area to the level necessary to capture potential
constraints
• The client then ran multiple different operating cases with different blend ratios of the new crude to determine trade-offs to capital spend to operating
margin
Key Findings and Recommendations
• The client was able to evaluate multiple capital and non-capital options
to determine the most profitable scenarios
• The client took the results of the study and moved forward with two
options that they sent for detailed engineering estimates.
Indirect client quote:
Looking back now that we have been processing this new crude profitability,
everything Petro-SIM said would happen has happened. As a result, we’ve been
prepared for how to operate to achieve maximum profitability. This is something the
LP never would have been able to do.
Results The client was able to successfully and profitably implement a strategy for processing the new crude

Case Study – Strategic Projects
Client Situation
Client was looking to conduct an internal profit improvement initiative. Critical issues for them revolved around poor
fractionation in certain process units. They also wanted to evaluate the introduction of new process units.
• Historically, this type of project would have been done using an LP model, but in this case, the client did not have confidence in the ability of the LP to
handle such a unique
• The client created individual reactor and unit models for each process unit
• The client then created an integrated refinery wide model of each of the process units modelling each area to the level necessary to capture potential
constraints
• The client then ran multiple different operating cases looking at both non-capital and capital improvement options
• The client was able to put together key results and recommendations for their refinery from options involving zero capital expenditure to major capital
project.
• The results from the study were then actioned by the refinery leading to new operating strategies as well as a couple capital projects
Results The client was able to determine a range of short to long term options to improve profitability

Case Study – Design & Capital Projects
Client Situation Client was looking for a tool to help them evaluate and quantify changes to their largest refinery.
• A joint KBC and client team was assembled to construct the model
• The client built individual calibration models that connected directly to the PI process historian for bringing in current operating data
• The client preferred this rigorous approach to modelling their refinery because
• They were able to model the entire process in the same software
• The model represented a more detailed tool than their LP, Scheduling tool, or Excel
• The client liked the ability to easily import many different crudes to support the studies they intended to do
• The client was able to put together key results and recommendations for their refinery
• The model was also used to update the LP leading to improved future decision making around optimization
• The results from the study were then actioned by the refinery leading to new operating strategies as well as a couple capital projects
Results The client was able to determine a range of short to long term options to revamp their refinery

Supply Chain Optimisation

Crude & Product
Purchasing
Planning &
Scheduling
• Given the variability of crude qualities and prices as
well as product values in the market today, how do
you ensure that you are buying the right crudes and
making the right blend of products to sell?
• How do you determine the optimal supply plan for
your facility?
• How do you translate from optimal supply plans to
realistic operating plans?
• How do you ensure that the results from an LP
capture the real facility constraints and mimic the
performance of a facility?
• How do you validate the results for a given supply
and operating plan?

Supply Chain Optimisation
LP Models
LP Data Generation Models
Refinery Wide Models
• Perform rapid optimization
• Validate and Maintain LP submodels
based on rigorous simulation models
• Provide higher fidelity and accuracy
• Same models used for capital planning and
margin capture
Smart Unit Performance Monitoring
• Track LP submodel performance against
model and plant
ONE OF KBC’S CLIENTS PUT IT THIS WAY: “THE LP CAN TELL YOU WHERE TO GO BUT NOT NECESSARILY
HOW TO GET THERE. PETRO-SIM CAN.”

Case Study – Multi Refinery Data Generation
Client Situation
Client was looking for a way to implement a consistent and best practice based methodology for developing LP data across
multiple refineries. Across their multiple sites, the client was originally using different modelling approaches; files were not
managed centrally and were often duplicated or even lost; there were significant delays in transmission of data; and
miscommunication was a growing problem
• The client employed flowsheeting best practices across all their refineries
• Standard topology
• Standard stream and file naming
• The client chose to have everything centrally stored and managed through the Petro-SIM database using an Excel based interface to control the data
generation activities.
• Centralised modelling department makes cases and data easy to manage and ensures that site unit engineers can focus on day to day operations
• Better communication
• Reduced IT costs as calculations are done remotely
Results
Petro-SIM has rich variety of methods to helped the client to exchange data, collaborate with their
co-workers, integrate their own technology, and build complex applications

20
Meeting Production Goals
19 January 2018
KBC ADVANCED TECHNOLOGIES

Automation
Unit & Equipment
Performance
Management
Catalyst Selection &
Monitoring
Offline Optimisation
• How do you ensure that your control
strategies are tuned, accurate, and
readily updated to ensure stable
performance?
• Are you actively and routinely being
proactive to ensure current and future
performance management?
• Does your campaign include process,
energy, and mechanical considerations?
• How do you validate vendor estimates?
• Do you independently verify and track
agreed performance standards?
• To what extent are your unit engineers
focused on short term optimization?

Meeting Production Targets
How can you determine whether a
facility is achieving optimal operation?
How can you determine what
improvements can be made?
How can you develop implementation
strategies to act on improvement
ideas?
• Process Models can tell you where you
should be able to operate
• Comparing existing operation against
desired operation identifies gaps in
performance
• Process models empower you to develop
implementable strategies to address
identified improvements
How can you ensure that engineers are
making the most efficient use of their
time?
• Smart unit performance monitoring allows
unit engineers to track improvements and
identify and troubleshoot concerns before
they impact overall operation

Case Study – Meeting Production Goals
Client Situation Client was looking significantly improve the performance and profitability for one of their major US refineries.
• Generated operational improvement ideas based on consulting typical experience
• Ranked ideas on an experienced based review
• Developed a refinery wide model to test the top ideas and identify additional opportunities
• Used the refinery wide model to generate “playbooks” to assist technical operation decisions
• The refinery was able to take several key recommendations and further develop and implement the delivered playbooks to improve their operational
performance
Results The client was delivered over 10 Million $/year in evaluated benefits

Case Study – Unit Performance Monitoring
Client Situation
Client was looking to build Smart Unit Monitoring Application in Petro-SIM to replace mass balance spreadsheets and
enhance KPI reporting.
• Taking existing calibration models, the client setup connections to their data historians
• The process model was adapted to incorporate KPI calculations
• Automatic and in-built trending was created for each application to be viewable through the Petro-SIM Explorer
• The KBC Approach provided
• Standardization across the organization for for mass balancing, data validation and catalyst performance monitoring
• Collaboration across their organization as all the data is held on a central server that anyone can access using the KBC Explorer or 3rd part BI
reporting tools, which allows multiple end users can access and review the results at the same time
• Improved Model Performance
• Kinetics model and LP model accuracy can be tracked
• More frequent updates lead to improved LP, Scheduling, and Petro-SIM refinery wide models
Results
The client is working through a multi-year project to implement these applications for all major
process units

Summary

KBC Capabilities That Address the Problem
• Strategic Focuses
 Refinery Wide Modelling provides refinery context
 Refinery Wide Modelling supports economic assessment studies
 Refinery Wide Modelling evaluates projects effectively to achieve the desired outcome
EFFECTIVE USE OF PROCESS MODELLING IS A KEY COMPONENT IN EVALUATING CAPITAL SPEND
• Supply Chain Optimisation
 LPs derived from rigorous kinetic simulation models support crude purchasing, operations planning, and selling products
 Refinery Wide Modeling supports LPs in delivering realistic operational strategies
RIGOROUS SIMULATION MODELS COMBINED WITH TRADITIONAL LPs PROVIDE THE IDEAL SOLUTION FOR
BALANCING SPEED WITH ACCURACY TO SUPPORT REFINERY PLANNING
• Meeting Production Goals
 Refinery Wide Modelling benchmarks refining operations performance
 Refinery Wide Modelling identifies gaps between where refineries are today and where they could be
 Smart Unit Performance Monitoring sustains identified improvements
REFINERY WIDE MODELLING SUPPORTED BY SMART UNIT PERFORMANCE MONITORING DRIVES CONTINUED
OPERATIONAL IMPROVEMENT

Why Petro-SIM?
Consolidation
Collaboration
Standardization
Integration
• Distillation Models
• Reactor Models
• Unit Monitoring Applications
• Centralized database for file management
• Subscription model for Assays, Calibrations, Unit
Monitoring, Workflows, Reports
• Common approach to material and component balancing
• Standard approach to catalyst and equipment monitoring
• A single version of the truth
• Ability to monitor actual data vs simulated vs LP vs Plan
• Ability to add standard tools to focus on reliability and
energy

Petro-SIM Benefits
Improved Data
Quality
Improved
Productivity
Improved Decision
Making
• Data reconciliation puts all data on the same basis
• Data reconciliation identifies questionable meters and lab data
• Calculations are all performed on a consistent basis
• Catalyst performance can be monitored in a consistent manner
for all units
• LESS TIME spent maintaining out of date tools or building new tools
• LESS TIME spent on generating data for reports or requests
• MORE TIME spent analyzing data to determine trends in the operation
• MORE TIME spent identifying potential problems
• Process engineers can use established and maintained tools to
quickly assess problems
• Process engineers will have MORE TIME to troubleshoot issues and
improve operations
• Reactor model and LP model accuracy can be tracked and improved
• More accurate LP models and Scheduling tools lead to better crude
choices and better product planning

Petro-SIM: Beyond Engineering Simulation Technology
Underpin
Business
Processes as
the Decision
Support Tool
Revolutionize
the way teams
collaborate and
exchange
information
More effective process modeling practices
drive better decision making Better decision making drives improved profitability while
maintaining strong health and safety practices

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