A GLENCORE Company
An Overview Summary: Manual Control, Process Automation or Operational
Performance Excellence? What is the Difference?
Closing Presentation prepared for IV Symposium - Information Technology, Telecommunications, Automation & Robotics of the Energy Mining Sector
by Phil Thwaites, August 23rd 2013Manager of Process Control & Engineers in Training
[email protected]+1 705-699-3400 x 3463
www.myxps.ca
Manual Control, Process Automation – or Operational
Performance Excellence? What is the difference?
Discussion topics include:
–Abstract
–Opportunities …. for You ; and for Your Plants to Consider
–Process Automation & Control Engineering
–Elements Necessary for Success
–An Instrumentation Solution … .. ‘To Be Aware of’
–Operational Performance Excellence
–Asset and Performance Monitoring
–Wrap-up and Recommendations
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Abstract and General Topic for Closing Keynote
• The mining industry uses many types of mineral and m etallurgical plants to produce saleable product from ore mined. Plant design history has left current operations with a mixture of manual operation and various forms of automated process controls . Consequently, we typically see high variability in the continuous operations together with a shortfall in the attainment of full capacity, or higher utilization of consumables .
• At a level of best practice, ‘Operational Performanc e Excellence’ focuses on process control , using automation and control systems to deliver process optimisation . This more sophisticated delivery is a great deal more difficult than the first stage of equipment selection / installation.
• It includes the appropriate selection of the right i nstrumentation, control system , key process knowledge , individuals with a solid control engineering background / experience , and the essential backing / support of the operations management team together leading to higher value delivery.
• Robust solutions can be realised, considerably minimising process variation, thus leading to process optimisation.
• This approach results in an easier, efficient and sa fer process while providing considerable returns for the plant owners.
How variable are your processes, and do you maintain optimised process performance with dedicated resources, modern instrumentation, ‘best practice’ control systems and performance monitoring tools?
In this closing address, these questions and possible answers are discussed.
I say we can do MUCH MORE and be More Efficient . This area remains a major opportunity for improved efficiency, minimizing tailings losses and other costs.
Manual Control, Process Automation – or Operational Performance Excellence? What is the difference?
Opportunities …… for You and Operating Plants to consider …..
For Plant Operators:– Is your feed stable?– Are your instruments calibrated and performing?– Are you aware of wireless instruments (including vib ration)?– Is your control system up to date and stable?– Are you in manual or auto control?– Are your Operators acting on alarms or are they nuis ance?– Do you understand and accept your process variabilit y?– Are you operating within the design targets and proc ess constraints?
• (pumps, cyclones, supplies, thickeners, roasters, fu rnaces, etc. etc.)– Are you using your surge capacity, …. or running ti ght level control?– Are you at optimum and are the controls robust?– Are you benefiting from asset management systems?– Are failure / fault detection systems implemented?– Can you make the same product for less energy, or ma terial consumption?– Do you Operate with or without a Control Engineer ?
– Does your Plant / Process or Processes run as well a s your car?– And, how do you accept your new Plant, or newly expa nded process?
We can do Much More and be Much More Efficient!
‘Operational Performance Excellence’ requires a solid performance of the regulatory layer AND
process optimization.
(P. Thwaites, AUTOMINING2008 Plenary lecture, Chile; CMP 2013 Plenary lecture; CIM Distinguished Lecture Series 2012-13)
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Process Automation
Process Automation is understood, in a wider sense, to include:• measurement and instrumentation • process modelling and simulation • process monitoring and data reconciliation • data mining and multivariate statistics• fault diagnosis and fault tolerant control • process control, monitoring of product quality & control
performance• off-line and on-line process optimisation • AI (Artificial Intelligence) methods: expert systems, neural
networks, fuzzy control• sequencing
In other words a very large, fascinating field, with major opportunities! ..... ideal for Control Engineers!
What is it?
Process Control Will Not Correct Inherent Design / Flowsheet Problems (McKee, AMIRA P9L)
‘There is a need to determine, and if necessary correct, the condition of the plant as a pre-requisite to control development. A good example is the importance of classifier operation and its effect on comminution circuit performance.’
‘Techniques exist (plant sampling, modelling and simulation) to audit the actual plant operation.’
‘Correcting plant limitations should be seen as a first step in the approach.’
e.g. Co Purification: 4.4 tpd saving @ $1.8m/yr value & 88->95% online time!
www.myxps.ca
XPS Equipment & Services – Process Mineralogy Grp, Sudbury:
Must Correct Plant Limitations, First!
A GLENCORE Company
Effect of 115sumpon grinding (COFD & RMF)
limit
units
Process Control – XPS
Control Optimize
poor controlbettercontrol
higher production
lower costs
setpoint
Process constraint
best control
time
Measure
As we have practiced for over 3 decades!
A GLENCORE Company
Poor to Optimized Control
Best Practice:
Necessary for: ‘Operational Performance Excellence’
1.Measure 2.Control
3.Optimize
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
-30% -25% -20% -15% -10% -5% 0% 5%
Bins - 106B Level Set-Point Deviations (LIC-3506)
Freq
uen
cy
BEFORE
AFTER
STD DEV: 2.7%
STD DEV: 6.0%
56% Reduction of STD deviation
100% Reduction of average deviation
Bias elimination
Reduction: 56% & Bias Elimination
Shown as distributions ….
Process Control Objectives Summary
Management of TOOLS & RESOURCES to:
• Minimize Process Variation
• Optimize Process Performance
• Minimize (Variable) Costs
• Control Product Quality
• Maximize SafetyFor operational performance excellence – “whatever it takes”
Tied to theBusiness Objectives!
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11
Leveraging Control TechnologyBBA Inc. (M.Ruel)
or Control
Impacts Business Profitability($$)
Control Technology Options
• Manual Control … usually acting on valve position (i.e. % opening, or motor drive speed)
• PID Control … process variable (PV) & setpoints (SP) in eng. units – i.e. automatic regulatory control based upon the PID control algorithm:
• Feedback only (SISO …. Single input, single output)
• Feedforward and Feedback (MIMO, Multiple input, multi ple output)• Ratio Control and Cascade Control
• Split Range Control
• Smith Predictor …. dealing with significant time delay
• MPC (Multivariable Predictive Control) or Model Based Control … based on true process dynamics, and using recent history & a model based trajectory
• Rule or Fuzzy Control … based on knowledge / experience
• Automation Control of: • specific known actions or sequences; batch processes; etc. The same way every time!
• Advanced (Optimizing) Process Control
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Rougher Control and move from Manual
Control to individual Cell Air Control
One air supply for two flotation cells:
• Manual control
• Air supply blockages
• Uneven levels
Updated to:
• Individual air flow control to each cell
• Measured and control in engineering units
…. and preparing for Optimization
Importance of Regulatory Loop Tuning
(Flotation air flow loop)
Retuned, Old to New … Poor to Improved, prior to Optimized
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Eland Mill (2010) Overall Recovery Improvement from:
Primary Grind & Primary Rougher Recovery Improvements
1) Prim. Grind Improvement:
Before: After:
42% 52% -75 microns30
35
40
45
50
55
Before After
Before
After
2) Primary Rougher Recovery Improvement:Before: After:
60% 73% 30
35
40
45
50
55
60
65
70
75
Before After
Before
After
Sec. rougher tails dropped 0.24 g/t;
Overall plant rec. increased 3%;
Final concentrate grade increased
by 10 g/t.
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
-105
-90
-75
-60
-45
-30
-15 0
15
30
45
60
75
90
Bins - Feed Rate Set-Point Deviation
Fre
qu
en
cy (
%)
BEFORE
AFTER
STD=14 t/h
STD=50 t/h
72 % reduction of
standard variation
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%
18.0%
20.0%
-0.05
-0.04
-0.03
-0.02
-0.01 0
0.01
0.02
0.03
0.04
0.05
Bins - Primary Rougher Feed Density Set-Point Deviation
Fre
qu
en
cy
BEFORE
AFTER
58% reduction of
standard deviation
STD=0.007
STD=0.017
Reduction: 72% Reduction: 58%
On a feed grade of 2.54 g/t PGE:
Importance of Control Performance
EMERSON Global Users Exchange (2007)
A GLENCORE Company
Control System Commissioning Status after 6 months of Plant commissioning
Control System Status after 6 months:• Commissioned status (DCS) = 94%• Regulatory loops on Manual = 37%• Regulatory loops on Auto = 63%• 16 % (of Man. Status) have field
instrumentation or logic issuesWhat was the mineral loss to tails during these 6 months?
“Commissioning of the PCS & PLC systems will not (should not) be considered to be complete unless:
a)all systems are connected, trouble & error free; b)all designed and configured regulatory loops have been acceptably tuned and are operational in automatic; c)as well as specified start-up and shutdown sequences configured / tested; & d)alarm / group alarming implemented.
This then will allow effective, safe, centralized control.”XPS Process Control Group
Last project, what we saw was:
New, processes / plants / projects
Control Tuning Summary
“ Proper controller tuning is the largest, quickest, and least expensive improvement one can make in the basic control system to decrease process variability .”
– T.L. Blevins, G.K. McMillan, W.K. Wojsznis, M.W. Brown, Advanced Control Unleashed , ISA Press, Research Triangle Park, NC, 2003.
------------------------------
Don’t underestimate the impact!
N.B. Book was inspired by DeltaVAdvanced Control Products. Available from ISA or may be ordered at EasyDeltaV.com/Bookstore
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Automation is ….
1. the technique, method or system of operating or controlling a process by highly automatic means ,
reducing human intervention to a minimum 2. a mechanical device, operated electronically,
that functions automatically , without continuous input from an operator
3. act or process of automating
4. the state of being automated
Ref. Dictionary.com
Robotics in Refinery Automation
1. Prior to 2002, the stripping of refined copper cathode from stainless blanks was accomplished through the use of custom electrohydraulicmachinery.
2. The process was extremely successful, but the systems were quitecomplex, fairly maintenance intensive and were challenged to recover quickly when off-spec product entered the system. In some cases this resulted in less than acceptable machine up-time & it was determined (in 2003) that t he bulk of the system downtime occurred, not during the actual product processing, but during product handling.
Kidd Process Copper Stripping
A GLENCORE Company
Application of Robotics
1. In 2003 the system was completely redesigned by Ionic Engineering (Sudbury, Ontario, Canada) in cooperation with Xstrata Technology (the Falconbridge Kidd Process).
2. The new design featured the world’s first use of high capacity, high reliability industrial robotics in a copper refinery application.
Kidd Process Copper Stripping
First Installations – Robotic CSM
1. The first two systems were installed at the LS Nikko Copper refinery in Ulsan South Korea in 2005/2006.
2. The next system was installed at the Jinlong refinery in Tongling China in 2008, with subsequent further installations at other facilities in China.
Kidd Process Copper Stripping
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Some Key Metrics
Success by the Numbers
Kidd Process Copper Stripping
Machine Uptime
In excess of 95% - far better than all prior designs
Power Consumption Over 50% Reduction – 390 kw down to 175 kw
Number of Sensors 48% Reduction – 140 down from 270
Number of Actuators 53% Reduction – 22 down from 47
www.ionic-eng.com
Advanced Process Control (APC)
“In terms of automation functionality, regulatory control & APC serve much
different purposes.”
“The primary role of regulatory control is to ensure stable, safe, and reliable
operations while maintaining process units at a desired or specified condition.”
“It does not attempt to continuously improve operation s in an economically
optimal manner.”
“APC, on the other hand, is a supervisory control ap plication ( unfortunately
rarely found in the DCS ) that coordinates a large number of parameters to
maintain control closer to operating constraints and more favorable economic
operating conditions.”
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Advanced Process Control (APC)
“ARC (Advisory Group) believes that those companies which are able to methodically implement, use, and maintain APC applications, at the lowest cost and generate the highest value, over its lifecycle will have a distinct competitive advantage.”
ARC INSIGHTSINSIGHT # 2005-49MP Nov. 2005 by Tom Fiske
But, they must be robust & make the Operator’s job easier!
Advanced Process Control (APC)
“Economic Benefits of Supervisory Process Control at Kidd Creek”Dec. 1993 Noranda Technology Conference, by P. Thwaites, J. Carriere
• Hydro Management & Site Peak Control Objectives:• Improve knowledge & awareness of power costs
• Improve & stabilize SITE power control (at approx. 1 33 MW of power consumption)
• Control the ‘daily’ Peak load and shift power consump tion to ‘Off Peak’ while maintaining production• Using 3 zinc plating rectifiers at approx. 22 MW max imum power each
• Results:1. Lowest overall (c/kWh) Ontario Hydro Mining customer using TOU (time of use)
Hydro rates2. Cumulative (5 year) total savings from 1989 to 1993 incl. = $17,600,000
1. 1989 = $2.0M saving on 1,089,851 MWh
2. 1990 = $2.4M
3. 1991 = $3.5M
4. 1992 = $5.6M
5. 1993 = $4.1M saving on 1,076,755 MWh
• Conclusions:1. There are MANY more OPPORTUNITIES throughout
the Metallurgical processes for supervisory control
“ APC, can have considerable returns…. to help the Business!”
Hydro Management & Site Peak Power Control
In 1993!
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DeltaV (Emerson) – Systematic ApproachDeltaV APC blocks are “Drag-n-Drop” &Embedded in controllers, not in a separate system
Advanced Control:● Fuzzy Logic● Neural● MPC (Model Predictive Control)
Predict / PredictPro
Other Control System Suppliers MUST, should follow Emerson’s lead making Advanced Control more easily available / configurable in the Control Systems used by Mineral Processing Plants.
The Collahuasi Solution: MPC ProfitSAG
replaces Expert Systems (Rules)
Honeywell’s ProfitSAG is an MPC solution for SAG Mills– Objective function designed to accomplish the goals (maximize fresh feed rate)
– Fault tolerant policies (anti-windup integration wit h regulatory control level)
– Fully integrated with measured disturbances
SAG 1011
• Fresh Feed• Mill Speed• Solids
• Mill’s Weight• Mill’s Power• Mill’s Noise• Mill’s Torque• Produced Pebbles
• Returned pebble• Particle size
Process Process ValueValue PredictionsPredictions
MVs (Manipulated)
DVs (Disturbance)
CVs (Controlled)
(CMP 2010 Presentation from Iván Yutronic (CMDIC), Rodrigo Toro (Honeywell); see also automining2012
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Elements Necessary for SuccessfulProcess Control in Mineral Plants
ProcessControl ->
OperationalPerformance Excellence
Tools:Instruments; Systems etc.
People:Control / Process
Knowledge
Successes:Results & Examples
Actions:Support
Management; Technology Transfer
P. Thwaites - IFAC MMM’07, Quebec City, 3rd plenary lecture
i.e. the TEAM!
Flow Measurement – Cidra SONAR
SONAR SONAR –– A New Class of Meters with Distinct Application AdvantagesA New Class of Meters with Distinct Application Advantages
SONAR
VOLUMETRIC FLOW METERS
Ultrasonic
Coriolis
Vortex
Multivariable DP
Magmeter
Ref: Christian O’Keefe and Bob [email protected]
Hydrocylone feed line –as used by Collahuasi, Chile; also Antamina, Perú
Xstrata Cu - Standard Concentrator (5): - Antapaccay, - Las Bambas, (Perú)
selected SONARtrac for the principal slurry lines
First meter installed in 2006
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Flow Measurement - In Circuit
Platinum 2012: Platinum 2012: The Impact of Entrained Air and Enhanced Flow Measurements at thThe Impact of Entrained Air and Enhanced Flow Measurements at the Eland Concentratore Eland Concentrator
SONAR
VOLUMETRIC FLOW METER
Ref: Christian O’Keefe, [email protected], Peacock, Huysamen, Thwaites
“Your accurate flow measurements are helping us with flotation control:
• We have automated mass pull control across the cleaner section.• Our next phase is utilising the Level controllers, Flow Optimiser,
Analyser & Cidra meters to implement our advanced flotation control.”Buang Moloto (Eland – Xstrata Alloys, Concentrator Manager)
140 SONARtracs at 16 GlencoreXstrata Facilities
• Alumbrera, Argentina• Antamina, Perú• Antapaccay, Perú• Brunswick Mine, Canada• CEZinc Refinery, Canada• Collahuasi, Chile• Eland Platinum, South Africa• Ernest Henry, Australia
From Hydrocyclone feeds, to concentrate lines, to transfer pipelines to tailings lines ….
• Horne, Canada• Las Bambas, Perú• Mt. Isa, Australia• Perseverance, Canada• Tintaya, Perú• Sudbury Ni Rim South, Canada• Sudbury Smelter, Canada• Xstrata Coal, Australia
32” cyclone feed line at Antapaccay 2x10” conc. thickener feed linesSudbury Smelter, Canada
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Operational Excellence
Manufacturers Set “Operational Excellence” as a Key Metric
The Need for Operational Excellence, Control Excellence
Environment & Safety Excellence
Asset Excellence
People Excellence
Control Excellence
Focus on Safety and Security intensifies as incidents rise, regulations tighten, and cyber threats proliferate. Environmental impact and rising energy costs are key concerns for process industries, while Carbon taxes are becoming reality.
Limited capital investment in the past two years is driving programmes that focus on extending the life and capability of existing assets.
Skill set shortages due to inexperienced or retiring workforces continue to drive industry, along with finding new ways to capture knowledge and increase productivity with interactions between people and systems.
Closed loop production and business control (being able to use real-time feedback to better run the operation) will continue to be an important goal for clients.
[AMR/Gartner in a 2010 Survey]Business optimization by definition requires a focus on operational excellence, with
particular emphasis on 4 major areas as identified by industry analysts AMR/Gartner:
Flotation Level Control -Best Practices Example ofOperational Excellence
1. Basic Level Device2. Level Control
Tuning (PID Feedback)
5. Level Control Tuning(+ Feedforward)
4. Smart Positioner
(Valve opening Feedback)
3. Split Range Actuation(2 Valves)
8. Best Practices –Control to Metallurgy ($$)Flotation Level Control
6. Surge TankControlTuning
7. Level SetpointOptimization(e.g. Froth Velocity Controller)
Emerson Smart Positioners
Most Mills stop here at 2. !!
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Flotation Reagent Control -Best Practices Example (of Operations Excellence):
1. Basic MeasurementMag meter, or Coriolis,or pulsed device?
3. Flow Control tuning (eng. Units)
Robust Reagent Control(Feedforward only)
5. Met. Control(Ratio) GMU g/Metal Unit
4. Ratio Controlg/Tonne
7. Met. Control with feedbackOptimization(Mass Pull;Analyzer recovery or froth quality)
8. Best PracticesFlotation reagent Control=> Optimum Metallurgy ($$)+ 25% lower reagent costs
2. Specialty (pure, undiluted)
collectors?
6. Met. Control with strategies forstart-up, shutdown, & short stoppages, or losses in XRF data
Metallurgical (Met.) Control is really the goal here …….
Always use Coriolis for HIGHEST Precision, Accuracy – this is your consumable!
E+H Coriolis
Plant Asset Monitoring (at the Instrument level)
• Leverage intelligence in device:– Key is use of some information bus (HART, Profibus, FF) to access parameters– Want to integrate all devices
• Desired benefits:– Increased performance:
• Higher online time• Assets properly configured and calibrated
– Decreased cost:• Reduce unnecessary work• Reduce effort to accomplish a task
• Two main technologies:– EDDL– FDT
• Functions in asset monitoring:– Configuration; Calibration– Performance monitoring & Troubleshooting
“The first need is to solve instrumentation problems by means of predictive maintenance and fault detection. The use of “hard technologies” such as smart instrumentation Fieldbuses and ‘soft’ technologies, such as multivariate online analysis shows a great potential on this topic. ”
AMIRA P893 (2005) Concentrator Benchmark Study – Section 7 Future Needs:
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Control System Loop Diagnostics (e.g. ABB, and DeltaV InSight)
Diagnostic Conditions Monitored are:• Final Control Element (FCE)
Stiction, Size & Leakage• Excessive FCE Action• Tuning Problem• Loop Oscillations• External Disturbances• Loop Nonlinearity• Data Reliability• Insufficient Travel• No Response to Signal Change• Noisy or Unstable Output• Sluggish Response• Valve Body/Seat Wear
Diagnostics …. are you using them?
Classic & HART I/O
H1AS-i
DeviceNet/Profibus
PIConsisting of:• Flexible I/O structure• 10/100 MBaud Ethernet• PC technology• Integrated Historians• Plant LAN connectivity using OPC
• Easy to use Software Integrating it all Together
Plant LAN
Modern Data Acquisition & Control System (Emerson DeltaV DCS):
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Process (& Plant) MonitoringOSIsoft PI System 2010Used extensively by GlencoreXstrata, Vale, Anglo (S. America) etc .
Control Performance Monitor (CPM)
Control Performance Monitor (CPM) {Matrikon/Honeywell} is…
Plant Control
a control performance improvement product that can diagnose causes of poor control at all levels of the plant control hierarchy:
CPM can enable a sustainable workflow that enables tracking of maintenance efforts as well as archiving maintenance history on each loop.
• MONITORS advanced control assets for poor performance & provides detailed diagnoses
• PROVIDES TOOLS detecting instrument freezes, data spikes, rate of change alarms and high-low limit violations
• MONITORS regulatory control assets for poor performance & provides detailed diagnoses
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UK’s Perceptive Engineering’s Focus / Vision (Dr. D. Sandoz, D.J. Lovett)
Optimisation & Scheduling
Advanced Process Control
Conventional Regulatory Controls
Management Information Systems
Intelligent & “Soft” Sensors
Conventional Sensors & Instrumentation
Operating Constraints
Valve position
Setpoints
Performance Reports
Operating Plans
0 20 40 60 80 100 120 140 160 1800
5
10
15
20
25
30
35
40
Time
SP
E
SPEConfidence Limit
Early Warning Process
Condition Monitors
Classification for
Quality Control0 20 40 60 80 100 120
10
15
20
25
30
35
40
Sample No.
FeO
Soft Sensors
Integrated Condition Monitoring & Advanced Process Control
Control System
Integration
CMP 2010 PAPER #27 by: CMP 2010 PAPER #27 by:
Kairos Mining (Chile) – A ComprehensiveApproach to Sustained Benefits in Automation
TESTING LABORATORY
TRAINING CENTER
KAIROS REMOTE SUPPORT CENTER
REMOTE MONITORING & SUPPORT CENTER
DATACENTER
Giselle Schifferli
Original Focus:
• Automation deployment &
support
• Multiple sites supported from Santiago, Chile
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Honeywell Remote Support Centre –Kairos Mining, Santiago, Chile
CollahuasiXstrata Cu, AngloAmericanCodelco
-Chuquicamata-El Teniente-Andina-Salvador-Ministro Hales
Casarones
Honeywell Kairos
• Plant Eq. Monitoring• OEM Process Monitoring• Instrument Support
Original Focus:
• Automation deployment &
support
• Multiple sites supported from Santiago
Expanded for Asset Management:
• Provide access/network to many service providers:- remote servicing/configuration- on demand analysis & diagnostics
• Core Honeywell team
ensures success
• Adding real-time expert monitoring for fixed equipment
Manual Control, Process Automation – or Operational
Performance Excellence? What is the difference?
We can, we MUST, do MUCH MORE and be More Efficient . The Process Automation area remains a major opportunity for improved efficiency, minimizing tailings losses and other costs.
My Recommendations:– Instrumentations & Instrumentation Solutions ….
• Make them work for you and use more of the great ins trumentation currently available.
– Control Systems ….• Push your control system to keep delivering for you, reducing variability;• Use more feedforward, cascade controls & ensure cont rollers are tuned;• Seek input from you supplier and ensure you use what the system can do;• Automate tedious and repetitive, known tasks;• Focus on optimization and see better business perfor mance.
– Employ a, or more, Control Engineers to complement y our Operations & Instrumentation Teams.
– Use Asset, Performance Monitoring tools to be more p roactive.– Analyze, Act and ensure data becomes knowledge for B usiness ($$)
actions – always.
Wrap Up ….
(P. Thwaites, CMP 2013 Plenary Lecture; CIM Distinguished Lecture (DL) Series 2012-13: CTI IV Symposium Closing Keynote Lecture (Lima, Peru))
A GLENCORE Company
For More on XPSsee: www.myxps.ca
Thank you.Come visit us in Sudbury,
Ontario, Canada
Process Control,
Process Mineralogy,
Extractive Metallurgy,
Materials Technology,
EIT (Engineers in Training) Program
XPS Business Groups Summary
Process Control – Identify and deliver robust process control techno logy and engineering solutions to achieve ‘Operational Performance Excellence’. We have experts embedded in our operating plants . +95% Internal
Process Mineralogy – Design, implement and optimize mineral processing flowsheets by matching the flowsheet to the mineralogy. Apply quantitative mineralogy using QEMSCAN. Testwork, modeling and Plant Support to commission and maximize operations efficiency. +80% External
Extractive Metallurgy – Provide specialized extractive metallurgy services in leaching and smelting. Flowsheet / project development using modeling and piloting, new process development and plant optimization . +80% External
Materials Technology – Improve the reliability of critical equipment throu gh appropriate implementation of proven materials engineering practices at essential stages of design, procurement and operation. +80% Internal
“ Decisive. Dynamic. Different.”
See also: www.myxps.ca
A GLENCORE Company
ADDENDUM - Key Follow-up References –
….. for Further Info & Details
Note, Out of Print!