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Lothar Lang
Consulting Engineer - CSEE
Lyondell Chemical Company
Critical Condition Managementon a Corporate Scale
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Lyondell Is a Major Global Chemical Company
A global leader in the manufacture of chemicals and polymers, building blocks for countless products that people around the world use every day
Lyondell’s products are vital to the goods that people depend upon to enhance their quality of life
Lyondell includes three wholly owned businesses –Equistar, Millennium and the Houston refinery
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Fast Facts
One of the world’s 10 largest chemical companies
Operations on five continents
Nearly 11,000 employees
Combined pro forma 2006 revenues of $22.2 billion*
Leading capacity positions in all major products
A Fortune 500 company
Ranked among the industry best in on-the-job safety
Continuous improvement in environmental performance, product quality and reliability measures
* Including 100% of refinery
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Lyondell at a Glance
880North America$5.8 billion*Refining of heavy, high-sulfur crude oil
Refining
Global$1.4 billionTiO2Inorganic Chemicals
Global$6.7 billionPropylene Oxide
Styrene Monomer
MTBE
Propylene Oxide & Related Products
(PO&RP)
10,000
North America$10.8 billionEthylene
Propylene
Polyethylene
Acetyls
Ethylene, Co-Products & Derivatives
(EC&D)
EmployeesGeography2006 Revenues
Business Focus
Segment
*Refining data represents 100 percent of post- and 58.75% of pre-acquisition Houston Refining sales and operating income
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Operations & Control Systems Best Practice Team Motivation
Human factors & process control systems have a large impact on• Response to or prevention of critical conditions that impact reliability,
safety, environmental performance, and quality• Operational Excellence
Reduce risk of wrong operator input or action
Reduction of unit upsets
• Unit operating costs…
Appropriate level of automationWork practices and training systems to enhance operator’s abilitiesAddress operator workloadProvide better information to operators, specifically under stress conditions (unit upset…)Address operator turnover through retirementBesides equipment performance, our reliability efforts also need to concentrate on human factors and process control capabilities
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Emergency and abnormal situations represent a unique challenge in the operation of all complex systems. On one hand, operators have to maintain a very high degree of proficiency in the relevant procedures, while on the other hand, they rarely have an opportunity to practice them. Aircraft have become very reliable. It is not uncommon today to meet retiring airline captains who have never had a serious emergency in their careers…
But How Do We Get There?
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What We Found…
HandheldDevices Critical
ConditionManagement Scenario
DrillsOperatorTrainingSimulators
ChecklistsAutomationStrategy
CreateIndustryBenchmarks
A comprehensive approach for reducing human factors contributing to abnormal situations, with many parallels to our operations
Focus Areas
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Critical Condition Management
HCI (operator interface)
Alarm management
Control loop performance management
Operator advisory system
Software standard company-wide
KPI company-wide
Sharing of Best Practices
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The Modern-day Problem
Control rooms badly designed
Alarm Management causing operators to react to problems, then becoming overwhelmed during a disturbance
HCI causing similar problems to those on the panel: information overload - they may get confused, make mistakes, or panic
Operators, often less experienced than their predecessors, are being required to manage larger numbers of valves/loops, with more associated data, thus increasing the potential for information overload
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Empower frontline (operator and support function)
Heighten situational awareness
Focus on key activities and key actors (prioritize)
Automate use of information
Share the information
Engage the teams in continuous improvement process
Drive intelligently by best practice and KPI
Success in Critical Condition Management
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How Not to Design a HCI…
OrientingEvaluating
Acting
Assessing
•Information overload
•Vague or misleading information
•Inappropriate level of detail
•Vigilance decrement
•Insufficient knowledge
•Lack of experience or practice
•Conflicting priorities
•Inaccurate labeling or information presentation
•Excessive mental task
•Inadequate communications
•Deficient procedures
•Failure to follow procedures
•Inappropriate actions
•Inability to act
•Inadequate feedback
•Poor layout or information presentation
•Policy & practice discrepancies
•Inadequate feedback
•Poor integration of information systems
20%30%
20%
30%
Influences on Operator Intervention Success
Operator graphics(HCI)
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We Can Do it Better…
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New OVERVIEW Example
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Lyondell’s Approach to Operator Graphic Design
Document best practice
Focus attention on critical information
Assess situation at a glance
Use company-wide
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What Sort of Benefits Have Been Seen by Improving the HCI?
Thorough tests were conducted using real operators and (simulated) known process upsets (NOVA), but with different sets of displays; one being ASM-compliant, the other being “good” operational displays, but not ASM-compliant.
When using ASM-compliant displays:
Tasks were completed 35% - 48% faster.
Failures were successfully dealt with 26% more often.
Presence of failure was recognized before the first alarm 38% more often.
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Alarm Management – Typical Phases
Benchmark & assessmentBaseline, KPI
Alarm philosophyAlarm definition and governing rules
Alarm rationalizationSystematic review and documentation of alarm settings
Implementation & Execution Control system configuration
Continuous improvementPerformance monitoring & optimizationReduce alarm frequency systematically by elimination of bad actorsDynamic alarm handling to address alarm flooding
MaintenanceSustainability and MOC
Phase Itool: logmate
Phase IItool: UReason
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KPI for Alarm Management
EEMUA (Engineering Equipment and Materials Users Association) guideline ≡ company goal
Per Operator
10Peak alarm rate per 10 minutes
9Average # of standing alarm
(longer than 24 hours)
6Average # of alarms per hour
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Average # of Alarms per Operator at a SiteOctober Average: 2.3
Data captured by logmate application
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Peak Alarm Rate per Operator at a Site,for December
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Benchmarking Data for 4th Quarter ‘06
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Path Forward - Alarm Management
Establish KPI and baselines at all sites
Drive with continuous improvement program
Periodically review KPI, bad actors and action items
Need a Champion (preferentially from operations)Leads the review process
Drills down using logmate to identify worst (3 - 5) bad actors
Involves appropriate people to address the identified issues
Follows up to ensure quick implementation
Start dynamic alarm handling
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Benefits from Dynamic Alarm Handling (OASYS-AM from UReason)Two phased approach:
Provide Real-Time Reduced Alarm Lists to OperatorsUses alarm and configuration data stored/collected by logmateRecognizes alarm relationships, chattering alarms and nuisance
alarmsProvides operators with reduced alarm lists independent of the DCS
Prevents Alarm Floods by Predicting Process Upsets
Correlates alarm and process data to predict process upsetsProvides operators with alarm advisories (checklists…) independent of the DCS
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Alarm Data during a Plant Upset
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Alarm Data during a Plant Upset (continued)
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Playback of Alarm Data Using a Rule for Reducing Six Most Frequent Chattering Alarms
significant alarm reduction after
initial alarm burst
Data generated using U
Reason
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Playback of Alarm Plant Using a Rule for Reducing Six Most Frequent Chattering Alarms
Original two most frequent alarms are no longer among ten most frequent alarms
Data generated using U
Reason
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Phases for – Control Loop Performance Management
Benchmark & assessmentDefine KPIEstablish baseline
Analyze – systematic review of worst performers and highest impact loopsHardware – transmitters, control valves, speed control, analyzersTuningControl structure
Implementation & execution MOC, capital, turnaround timing
Continuous improvementPerformance monitoring & optimizationPublish and review KPI
Maintenance and sustainabilityCompany standard PlantTriage from Expertune
External Focus
InternalFocus
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KPI for Control Loop Performance
% of loops with valve issues
% of loops that are oscillating
% of loops running more than 5 % of the time at their limits (saturation)
% of loops not in normal operation (i.e. manual or cascade open) more than 10 % of the time
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“% Control Loops in Normal Mode” IV 2006Industry Benchmark
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0
10
20
30
40
50
02/15/06 03/17/06 04/16/06 05/16/06 06/15/06
CPM KPI –February to June 2006
0
5
10
15
20
02/15/06 03/17/06 04/16/06 05/16/06 06/15/06
0
5
10
15
20
25
30
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02/15/06 03/17/06 04/16/06 05/16/06 06/15/06
% Loops above oscillating threshold- tuning•Rx – 0% - 4%•Distillation 0% – 4%•<5% good – tuning not current problem
% Loops above oscillating threshold -load•Rx – 20% - 50%•Distillation – 20% - 40% •>20% needs improvement– control strategies
% Loops with valve issues•Rx – average ~ 9%•Distillation average ~ 25%•<5% good, >10% needs improvement
REACTIONDISTILLATION
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Energy Savings – Finishing Unit 2005 - 2006Btu/gal Fin feed vs Fin feed for various time periods
10000
12000
14000
16000
18000
20000
22000
24000
26000
50 60 70 80 90 100 110 120 130 140
Fin Feed, gal
BTU
/gal
2nd Q 2005
3rd Q 2005
4th Q 2005
1st Q 2006
2nd Q 2006
Poly. (3rd Q 2005)
Poly. (4th Q 2005)
Poly. (1st Q 2006)
Poly. (2nd Q 2006)
Poly. (2nd Q 2005)
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Key Benefits of Process Control Loop Monitoring and Performance Improvements
Smoother operation
Less process upsets lead to increases in availability and rate
Running closer to process constraints allows increase of BDP (max. rates)
Reduced operator input
Reduced variability caused by differences in experience
Less biased operation
Less alarms
Reduced shutdown cost
Improved basis for DMC applications
Reduced upsets
Less mechanical damage
Major impactValve wearPumpsColumn internals…
Causes of many reliability problems are process control related and not strictly mechanical
Efficiency ↑
Planning ↑
Maintenance ↓
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Why Operator Advisory System?One Problem: Data Overload
Trends are a valuable tool for operators to identify potential critical conditionsThe human brain gains insight more easily from visual representations like graphs than from numbers No easy way to graph large amounts of data
Conventional maximum of 4 or 5 variables per graph435 x-y graphs needed to show the interactions of 30 variables
Difficult to visualize data sets of high dimension
But we want a proactive operating philosophy
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Process Move
Process Objective<Tag> <Descriptor>
NOW FUTURE
<Tag> <Descriptor>
Advisor shows where to position the process handles to meet the process objectives AND optimize the process economics
Suggestion of an Operator - Advisory Interface
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Path Forward – Critical Condition Management
Implement tools at all sitesAlarm management: Logmate (TiPS) – phase I CPM: PlantTriage (Expertune)
Establish KPI and baselines at the sitesDrive with continuous improvement program (CIP)Share best practices (Lyondell user groups…)Establish OE standardProvide dynamic alarm management and enhanced knowledge-based operator support systems
Implement UReason – phase IIOperator graphics, operator advisories…
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Success in Critical Condition Management
Accelerate implementation through the use of best practice and standard toolsSustain the gain through performance monitoring (KPI), CIP,and maintenance managementSupport Operations to be
More proactiveMore vigilant
Adopted by operationsPrevention of shutdowns and avoidance of process upsetsFaster recovery from process upsets and critical conditions (trips…)