change your board operator to a process control manager
TRANSCRIPT
Standards
Certification
Education & Training
Publishing
Conferences & Exhibits
Change Your Board
Operator to a Process
Manager With State
Based Control
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Tom Nolan
• Tom Nolan is a Senior Consultant for ProSys, a global
process control software and engineering firm
headquartered in Baton Rouge, LA. Tom joined ProSys
in April of 2013. He brings more than 24 years of state
based control experience from his tenure at Dow
Chemical. Tom has extensive experience in all aspects of
state based control.
Abstract
This presentation examines the attributes of state based
control and the value delivered to manufacturing from the
initial design through the operating life of the facility by
improving the effectiveness of operators.
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Background
Before DCS
• Smaller span of control for the operators
• Panel mounted controller and trends were visible by walking the
board
• Fewer, more strategic alarms
• Most things needed were in view and in reach
• The operator ran the plant differently depending on the state of
the process
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Background
After DCS
• Larger span of control for the operators
• Many more things to alarm and more ways to alarm them
• Only the trends and graphics called up are visible
• Many more, probably less well thought out alarms
• Need to work through the HMI to get to what you need to see
and change
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Background
Not Utilizing DCS Capabilities
• Systems take advantage of bringing in tremendous amounts of
data and alarming it in many different ways
• Not maximizing the DCS’ ability to enable alarms and drive
outputs based on state
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Background
Control systems are, for the most part, configured for
optimal performance in the running state.
• Makes sense in terms of time
• Hopefully spend most of the time in the running state
In terms of risk, it is not able to deliver.
• 70% of incidences occur in start up or shutdown
• Everyone has the least amount of experience with these states
• The control system is either not helping or is a hindrance
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What is a State?
“It is a definable operating state in which the control system
needs to take action to achieve the desired objective for
that operating state.”
- Dustin Beebe, President/CEO of ProSys, Baton Rouge, LA
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What is a State?
States
• Processes move through definable states
as they operate
• States range from being down for
maintenance to running in steady state or
cycling through a batch.
• States can include:
• Filling, Establishing Fractionation, Total
Reflux, Recycle, Running, Normal
Shutdown, Emergency Shutdown
• State based control changes with the state
of the process
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State Based Control
There are two types of state based control:
• Inferred State – Using process measurements to infer what state
the process is in
• Driven State – Using the DCS to drive the outputs to put the
process in the desired state
• This is the emphasis of this presentation
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Why State Based Control?
Processes don’t operate in one state.
• What is normal and abnormal changes with the state
• Alarms need to inform operators about what is abnormal and
requires operator action to prevent undesirable consequences
• Control mode needs change with state
• Controller tuning may need to change with state
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Why State Based Control?
Processes don’t operate in one state.
• A control system configured for only one state can not perform
optimally for the other states
• A low coil outlet temperature alarm is important in a running state
• It is extraneous information when the plant is down for maintenance
• Crowding out the things that are important
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Beyond a Safety Function to a Safe
State: A Coordinated Safety Response
• Single loop Safety Instrumented Functions do a good job of reducing
risk at the designed Safety Integrity Level to bring the plant to a safe
state in that the designed for scenario will not occur.
• For instance, if the reactor has a high pressure, close the steam valve
• Now that the steam valve has closed on the reactor, there is a lot going on and a
lot for the operator to deal with in the reactor unit and upstream and downstream
units
• State based control brings the reactor to a predetermined safe
control state.
• The DCS drives all of the output immediately to where it needs to go
• The reactor unit communicates its status to up and down stream units so that
they know how to respond automatically as well
• Moving to and staying at their highest state of readiness for when the reactor
comes back on line
• There can be multiple safe states that the DCS drives the process to
depending on the scenario.
• The safe state can be used for any number of different scenarios.
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Beyond a Safety Function to a Safe
State: A Coordinated Safety Response
The designed for scenario does
not occur. A lot else does:
• An alarm shower
• Up and down stream equip
effected
• Loops are put in manual
• Increased risk
• Down time
• Bypasses may need to be set
for start up
The designed for scenario does
not occur.
• The plant stays at it’s highest
state of readiness to minimize
process interruption
• The operator is in a heads up
mode monitoring the process, not
trying to operate controllers in
manual
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High Rx
Pressure
Normal control
scheme
State Based Control(Coordinated Safety
Response)
SIS closes steam valve
Operator deals with the
ramifications manually
Rx moves to a safe stateClose steam valve
Stop feeds
Full cooling
Reduce pressure
Alarm dynamically
managed
enabling proper operator
action
Move the back end to
recycle state ready for
when the reactor comes
back up
Peripheral Cost of Incidents
Deepwater Horizon Oil Spill – BP – 2010
• U.S. Environmental Protection Agency (EPA) fines of $15 million
• Occupational Safety and Health Administration (OSHA) fine of
$51 million for a single facility
• Escrow account of $20 billion to the U.S. Government to cover
potential oil spill costs
• ~45% decrease in stock value in the months following the
incident
• Temporary reduction in sales at BP stations by as much as 40%
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Peripheral Cost of Incidents
Bhopal Disaster – Union Carbide – 1984
• ~15,000 incident related deaths
• ~550,000 incident related injuries
• ~$500 million in legal decisions and voluntary funding of support
facilities (hospitals, research facilities, etc.)
• ~30% decrease in stock value in the months following the
incident
• Eventual devaluing and sale of consumer products division
• Divesting of assets
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Reduction in Unplanned Events
Facilities grouped by
alarm loading and level of
automation
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Unplanned event data has
a strong correlation to the
quadrant a plant is in
Automation
Ala
rms
Aging Workforce and Knowledge Loss
• Within 5 years, 20% of
the workforce could
retire
• The Social Security
Administration
estimated 10,000 per
day
• Will create skills gaps
and large burden for
training
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The New Work Force
• More mobile younger workforce
• Not looking for or expecting 30 yrs and a pension
• According to the Bureau of Labor Statistics, the average
worker stays at each job for 4.4 years
• Most millennials expect that they will change jobs in less
than every three years
• Training cost and techniques have to change to keep up
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Knowledge Capture and Transfer With
State Based Control
• Operational process knowledge is captured and
leveraged in the design process
• Keeps the knowledge of the best operator on the board
at all times and reduces training demands
• The knowledge, once captured, can also be leveraged
through the corporation, improving the return on the
initial investment
• All of the operators on the board can manage the
process at a higher level based on the experience and
collective knowledge of everyone running the plant
• The plant to become smarter over time
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Benefits of State Based Control
• Increased productivity
• Higher asset utilization
• Enforces proper start up and shutdown sequencing improving
asset utilization
• Minimizes environmental incidents and violations
• More efficient use of resources
• Frees operators from mundane tasks
• Allows the operator to manage the process in a heads up
prioritized manner
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Benefits of State Based Control
• Reduces operator errors
• Less outputs to be managed in manual
• Automated response and recovery from abnormal
situations
• Provides a mechanism to capture and transfer
knowledge
• Best operator is always on the board
• Allows for the standardization and proliferation of best practices
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Proven Performance in Start Up
Performance
State based control has implemented which enabled start
up in one third of the time of non-state based control.
• This is consistent repeatable performance from all of the
operating staff
• Plant is also able to change product specification more quickly to
meet market demand
• The state based control is using the proper procedures on the
equipment to not unduly stress it for start up and shutdown,
therefore increasing asset utilization
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Degradation Scenarios
Managing Abnormal Situations
• Provides the ability to detect and optimize the automated
response to process upsets
• Keeps the plant safer in upset conditions
• Keeps the plant at the highest state of readiness to return to
normal operation as soon as possible
• Minimizes lost production and equipment damage
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Proven Performance in Handling
Upset Conditions
State based control has been implemented in a refinery that
handles upset conditions.
• Before state based control, the upset would cause a trip and
subsequent restart of the facility taking 8 to 12 hours
• With state based control, there is only a 15 to 45 minute process
disturbance with no trip
• This eliminates a shutdown and start up where 70% of incidences
occur
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State Based Control
Balancing Operator and Automatic Action
• Digital control systems provide information quickly
• Creates information overload that makes it more difficult to
operate the plant
• State based control uses available information to turn this
situation around
• Manages the alarms for required operator action
• Manages the outputs
• Drives the process to a safe state
• Returns the process to normal as quickly as possible
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Justification
Alarm and Instrumentation Justification
• Dynamic alarm management and alarm rationalization can be
designed in from the beginning
• New plant, no experience running it and overwhelmed by alarms is a
bad situation
• Instrument justification includes alarm rationalization and desired
level of automation
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Conclusion
• State based control is a viable option to improve the design process
through the use of standard reusable architecture and instrument
and alarm justification.
• State based control maximizes the investment in the DCS by
capturing knowledge in the form of operating discipline that can be
leveraged with greatly reduced training costs in a dynamic
workforce.
• Safety and operability are enhanced through the uses of safe states
in units and the communication between units to optimize the
response to degradation scenarios.
• Operators are in a position to manage the process through state
changes while having their heads up to see the big picture - avoiding
problems and optimizing performance.
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