This presentation explains how GSE's e-learning, 3D and simulation training tools help solve the problems that facility and training managers deal with; Risk, Revenue, Agility and Cost. This was presented at the 1st Global Oil and Gas Simulation and Training Forum. For more info, please visit GSES.com, email info@gses.com, and follow us on Twitter at @GSESystems and Facebook.com/GSESystems

1. Integrating e-Learning, 3D, Universal
Simulations and Customized OTS for
Competency Development: A Flip Model
info@gses.com

2. Competence Development & Assurance
(CDA)
• Competence: Knowledge, skills & attitudes (behaviors)
(We cannot observe attitude, but we can observe behavior)
• Competent Person: Has competence and
demonstrates competence by applying it on the job
• Competence Development (CD): A set of “fit for
purpose” learning activities to develop an employee’s
competence
• Competence Assurance (CA): Ensures that the
employees have required competence to perform at the
required standard and in an actual work situation
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3. How It’s Done
• The most knowledgeable and experienced console
operator or engineer is also a mentor.
• Like any DCS or software package, a mentor is
also a highly valued asset.
• Therefore, a mentor’s time should be optimized
for knowledge transfer.
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4. How It’s Done
• Most companies use full-scope operator training
simulators (OTS) to teach new console operators and
to improve the skills of experienced staff members.
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5. How It’s Done
Most global petroleum plants have 10 to 20 major processes,
and it is impossible to have custom OTS due to resource
constraints.
– The DCS-based OTS time is limited typically by the hardware
and the number of instructors available.
– Before trainees can use the OTS efficiently, they must have
basic knowledge of the DCS and process fundamentals,
otherwise they are wasting valuable simulator and
instructor time.
– Not suitable for field and maintenance operators, process
technicians and engineers.
– Initial investment, operational, maintenance and life
cycle costs.
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6. How It’s Done
How do you ensure:
– Valuable mentoring time is spent transferring
critical knowledge and experience?
– Optimized use of high-value assets such as OTS
and other T&D resources?
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7. New Learning Strategies: A Flip Model
Khan Academy pilots education tutorial at Cupertino and
Los Altos schools
The academy uses technology
to provide more engagement
and progress with different
learning stages.
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8. 80% of the Learning, 20% of the Cost
TUTORIALS
Learn process fundamentals
with self-paced tutorials
SIMULATIONS
Practice operations and troubleshooting
with generic dynamic simulations
Any new knowledge not utilized within 72 hours is likely to be lost.
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9. Simulation Configuration:
Standalone Dual Monitors
Simulation – Standalone Dual-Monitor Version
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10. Simulation in a Classroom
Instructor
Printer
Trainee
Trainee
Trainee
Trainee
Trainee
Trainee
Trainee
Trainee
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11. Matching the Solution to the Problem
Applied Learning
Through Generic
Simulation
Process
Fundamentals
Real-World
Knowledge
Transfer
Unit-Specific
Experiential Learning
Mentoring and
Hands-On Training
Custom Operator
Training Simulators
Instructor Led
Self-Paced Tutorial
Process Control
Self-Paced Tutorial
s s et
ing A
rain
of T
Cost
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12. Optimal Learning Progression
Learn the “why” before the “how”
Value of Asset
Simulator-Based
Fundamentals and
Basic Operations
Tutorial-Based
Fundamentals
Mentoring and
Knowledge
Transfer
Plant-Specific
Simulation and
Experiential Learning
Value Training
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13. The EnVision Advantage
Risk
Revenue
EnVision
Agility
Cost
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14. Minimize Risk
Improvement in competency and
understanding decreases risk in general
Prepare for the unexpected
Risk
Confident performance
Recognize cause and effect
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15. Create an Agile Workforce
Deliver the same foundation
of knowledge to your entire team
Transition: outside to inside operator
Agility*
Shorter learning curve
Consistency across the fleet
*Agility: The ability to move quickly and easily
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16. Fundamentals of Upstream
• Amine unit
• Glycol contactor and regenerator unit
• Gas, oil separation process
• NGL/LNG feed treatment consisting of:
– Feed filter
– Molecular sieve dehydration unit
– Mercury removal unit
• Propane refrigeration unit
• Multi-component refrigeration unit
• Gas processing plant
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17. Our Generic/Universal Simulators Use
High-Fidelity Mathematical Models
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18. Physical Properties and
Component Database
• Components and properties specific
to model
• VLE models
– Ideal mixtures: Composition-independent
representation like Antoine’s vapor pressure
expression.
– Non-ideal mixtures:
• Equation of state methods
• Composition dependence and binary
integration parameters
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19. Mathematical Objects
• Reusable components
• Both for process and instrumentation
• All objects use unsteady state mass and heat balances
(differential equations)
• Multiphase equilibrium (VLE, LLE, VLLE)
(mostly algebraic)
• Kinetics and alternative approaches (differential
and algebraic)
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20. Solution Methods: An Inspiration from
Jose Maria Ferrer
• Method based on application:
– Nature of the system (stiff, coupled, etc.)
– Accuracy requirement
– Real-time constraints
• Non-linear algebraic systems:
– Newton-Raphson method with improvisation
– Efficient matrix operations (mostly LU
decomposition, Gaussian elimination)
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21. Solution Methods
• Differential systems:
– Integration method based on system and
accuracy requirement
– Ranging from Euler to multi-step predictorcorrector techniques like fourth-order Runge-Kutta,
Gear’s multi-step predictor-corrector method and
so on
• Hybrid methods are used commonly
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22. The Result: A High-Fidelity Dynamic
Universal Simulation
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23. For more information:
Go to:
www.GSES.com
Follow us on:
Call:
800.638.7912
Twitter @GSESystems
Email:
info@gses.com
Facebook.com/GSESystems