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© ABB
Slide 1
November 10,
2015
Intelligent Mining
Integrated Mine Planning and Operations
Rafal Walecki – Head of EMEA Delivery, Mining Solutions, ABB
© ABB
Slide 2
November 10,
2015
 Challenges & History
 Our vision
 ABB’s Solution Components
 How it all fits together
© ABB
Slide 3
November 10,
2015
OUR VISION
© ABB
Slide 4
November 10,
2015
Challenges driving shareholders returns
Depleting Reserves
Export Tonnage
Inland Tonnage
Declining Grades
PrimaryGrade,%
1.5
1.4
1.3
1.2
1.1
0.9
Increasing Costs
80
60
40
20
0
2000 2011
Consumables
Labor
Energy
Other
Source: Xstrata Copper
Ore grade quality is
declining
Reserves are
depleting in some
commodities. Assets
and ore bodies are
becoming more
complex.
Labor is more costly,
energy costs are
going up and the
doing business in
new markets puts
pressure on margins
The bottom line: how to continue to deliver high returns to shareholders
1980 2000 20202000 2015 2030
© ABB
Slide 5
November 10,
2015
Step-changes in mining technology
• Standardization of processes
• Mechanization means dramatic
shifts in production capabilities
• Operation of equipment still
requires human interaction
• Integrated modeling and planning
for higher quality yield
• Greater visibility into parts of the
value chain
• More detailed information coming
from equipment and plant to enable
remote mining
• More responsive demand and
supply
• Higher level of automation driven
by labor shortages and remote
mining locations
• Limiting bottlenecks by adopting
more continuous processes
• High levels of visibility across the
value chain and between operations
Mechanization Automation Optimization
The mining industry has been through a
number of technology ‘step-changes’ which
have driven dramatic increases in productivity.
Research into mining technologies indicate
significant new technologies heralding the next
era of mining productivity
© ABB
Slide 6
November 10,
2015
ABB Mining Vision Coverage
To drive fundamental
change in the way a
Mining Enterprise works,
creating dramatic
increases in
Health and Safety
Productivity
Predictability
Asset Availability
Energy Efficiency
Quality
© ABB
Slide 9
November 10,
2015
Mining Conveyer Asset Health
Temperature sensors
detect overcurrent
condition on conveyor
drive and create alarm
Control system slows
belt speed to reduce
risk of an issue
Work order
automatically raises a
parts requisition
Work order is sent to
maintenance crew
mobile devices and
work is completed
Condition, inspection,
and work combines for
a unified view of
conveyer health and
optimization of the
current maintenance
programs
1 2 3
456
The old way:
 No information on upstream
downstream impact
 Cant prioritize significant data
volumes - manual
 Production, equipment and
other control systems not
integrated
 Work order scheduling in
disparate systems
 No optimization of assets
Value Proposition
Transform real-time and
historical asset data into
strategic insights on the
health of your mission-critical
assets.
© ABB
Slide 10
November 10,
2015
Mining Plant Operations Optimization
Advanced process
control (APC) manages
reagent dosing and
flow rates in real-time
(OT)
Geological model and
real-time material
tracking provides short
term feed
characteristic schedule
to APC
Sales system monitors
global index pricing for
products
Sales system
periodically provides
relative pricing updates
to APC
APC refines control set
points to maximize
returns for current
feed material and
product pricing
On stream analyzers in
plant reconcile actual
feed with model to
further improve
predictability and
optimization
1 2 3
567
The old way:
 No information on relative
product pricing
 No information on feed
material
 Plant set points static
 Production, equipment and
other control systems not
integrated
Value Proposition
Increase plant recovery and
optimize product mix based
on current pricing.
4
© ABB
Slide 11
November 10,
2015
SOLUTION COMPONENTS
© ABB
Slide 12
November 10,
2015
Solution Components
Plant Reporting
Mass Balance
Plant Efficiency
Material Logistics & Blending
Inventory Management
Sales & Marketing
Enterpise Asset Management
Work and Projects Management
Maintenance Management System
Lab Management
Sample Tracking
QA/QC Quality
Geological Modeling
Mine Planning/Scheduling
Mine Operations
© ABB
Slide 13
November 10,
2015
Geoloigical Modeling & Mine Planning
Geology &
Mine Planning
Other Geological
Database
Geological Model Excavations Model
Production SchedulingMine Design
Geological
Database
Exploration
Survey
Asset & Work Management Product Logistics & Sales
© ABB
Slide 14
November 10,
2015
Material Logistics and Sales
Mining Activities
Processing
Transportation
Top Soil Drilling Overburden Waste Dump Parting Removal Loading Hauling Reject Disposal Rehabilitation
ROM StockpilesHauling Processing Plant Product Stockpiles Load Products
Transporting Train Loading Ship LoadingPort StockpilesTrain UnloadingRail Head Stockpiles
© ABB
Slide 15
November 10,
2015
Mining Laboratory Management System (LIMS)
Q
B
L Lab Status
QA Flag
Budget / Actual
Sample
Analytical Result
Dispatch
S
A
D
Legend
Assay Mgmt
Lab
Instrument
Integration/Interface Layer
ABB CCLAS Modules
Lab
Config.
Web Interface, Dashboards & Reporting
BI
Reporting
Rules User Forms
QA &
SPC
ERP
System
D A AS
DataAudit
Sample
Registrat’n
Data
Capture
& MDE
Data
Calculat’n
Scripting
Sample
Tracking
Lab
Maint.
L
Invoice &
Revenue
Task
Automt’n
Consum-
ables
Instr.
Mgmt
Archive/
Retrieve
A A
© ABB
Slide 16
November 10,
2015
Production Accounting
Management Systems (e.g. ERP)
Total production by period, KPIs, qualities, inventories
tons, volume, grade, moisture, hardness, penalty elements - transaction, shift, day, week, month
METAL ACCOUNTING BUSINESS PROCESS
© ABB
Slide 17
November 10,
2015
Asset Management
Enable PAS 55
• Standardize Asset Management practice
Mobile Workforce Management
• Manage assets from the point of inspection
• Automate field-based processes
• Optimize mobile workforce, including 3rd party contractors
Asset Management Paradigms for Critical Assets
• Manage in terms of both Risk and Criticality
• Location based asset management with GIS integration
Advanced Work Planning
• Closed-loop long and real-time work planning and scheduling
Materials Management
• Total asset visibility
• Financial fidelity of assets and improved inventory management
Enterprise Visibility
• Highly flexible, open analytics and reporting
© ABB
Slide 18
November 10,
2015
How it fits together – Complete Integration
PA MineScape
CCLAS
• Supply Chain Network Configuration
• Inventory & Stockpile Management
• Material Tracking
• Waste Dump Management
• Outbound Logistics Scheduling
• Blending to and Optimization
• Port operations & Ship loading
• Sales & Invoicing
• Shipping documents
• Supply & Demand Balancing
• Contract Fulfilment & Management
• Mining Data Reconciliation
• Transaction assays
• Transport assays
• Ship loading assays
MineMarket
Laboratory Information Management System
Resource block model
Production Schedule
Pit/UG Surveys
Actual Production
Aggregated transactions
Daily stock balance
End of period survey
Reconciled transactions
• Sample ID
• Transaction details
Block ID
Assay data
Moisture
Assay data
• Geological DB
• Stratmodel
• Block model
• Opencut design
• Underground design
• Ring design
• Scheduling
• Mine & pit survey
• Dragline
• Haul roads
• Drill & blast
• Auto data acquisition
• Auto data validation
• Statistical validation
• Data checks
• Data sign-offs
• Auditing
• Cascading calculations
• Check in – Check out
• Statistical balancing
• Data locking (quarantined)
• Data publishing
Ellipse
ASSETS
• Asset Policy
• Capital Work
• Register Asset
• Develop Strategy
• Deploy Strategy
• Asset Analysis
WORK
• Create
• Plan
• Schedule
• Execute
• Complete
• Work Analysis
MATERIALS
• Requirements
• Source Materials
• Procure
• Use Materials
• Distribution
• Performance Analysis
PEOPLE
• Maintain Organization
• Workforce Planning
• Organizational Development
• Time & Attendance
• Pay & Benefits
• HSSRE
FINANCIAL
• Financial Model
• Accounts Payable
• Accounts Receivable
• Fixed Assets
• General Ledger
• Performance & Compliance
ProductionSchedule
EquipmentData
Equip.Availability
Productionbyperiod
Qualitydata
Inventories
Financial&KPI
Reserves
• Production by period
• Stock balance
• Equipment delays
• Equipment usage
• Shipment actuals
• Invoicing details
• Budget & Forecasts
• Production plans
• Contracts details
• Shipment schedule
• Equipment master
© ABB
Slide 19
November 10,
2015
How it fits together - Operations Visibility
VP Health,
Safety &
Compliance
VP OPS
CFO
CIO
VP
Procurement
KW-hours/ton
Delay penalties
per month
Equipment-
incidents /
month
Ship over-under
load/month
Drill-blast
cost/ton
Reagents/ton
Fuel/ton
Metric per
Unit-Product-
Produced
Dig rate by
shovel
Dilution
Availability
Throughput
Shipping
queue length
© ABB
Slide 20
November 10,
2015
How it fits together - Intelligent Operation
Data Processing
and Analytics
Subject Matter Workbench
Geology & Mine Planing Product Logistics
Equipment
Performance
Work Parameters
Technical Specifications
Sensors
SCADA
SCADA
Feedback Information
Volume
Mass
Quality
Feedback
Conditional
Monitoring
Operations Control Center
InformationDecisions
Results
Historian
Enterprise Data Sources
EA
M
© ABB
Slide 21
November 10,
2015
How it fits together - One Control Room
© ABB
Slide 23
November 10,
2015
FIND OUT MORE
Visit www.abb.com/enterprise-software
Email info.PGES@abb.com
Intelligent Mining: Integrated Mine Planning and Operations

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Intelligent Mining: Integrated Mine Planning and Operations

  • 1. © ABB Slide 1 November 10, 2015 Intelligent Mining Integrated Mine Planning and Operations Rafal Walecki – Head of EMEA Delivery, Mining Solutions, ABB
  • 2. © ABB Slide 2 November 10, 2015  Challenges & History  Our vision  ABB’s Solution Components  How it all fits together
  • 3. © ABB Slide 3 November 10, 2015 OUR VISION
  • 4. © ABB Slide 4 November 10, 2015 Challenges driving shareholders returns Depleting Reserves Export Tonnage Inland Tonnage Declining Grades PrimaryGrade,% 1.5 1.4 1.3 1.2 1.1 0.9 Increasing Costs 80 60 40 20 0 2000 2011 Consumables Labor Energy Other Source: Xstrata Copper Ore grade quality is declining Reserves are depleting in some commodities. Assets and ore bodies are becoming more complex. Labor is more costly, energy costs are going up and the doing business in new markets puts pressure on margins The bottom line: how to continue to deliver high returns to shareholders 1980 2000 20202000 2015 2030
  • 5. © ABB Slide 5 November 10, 2015 Step-changes in mining technology • Standardization of processes • Mechanization means dramatic shifts in production capabilities • Operation of equipment still requires human interaction • Integrated modeling and planning for higher quality yield • Greater visibility into parts of the value chain • More detailed information coming from equipment and plant to enable remote mining • More responsive demand and supply • Higher level of automation driven by labor shortages and remote mining locations • Limiting bottlenecks by adopting more continuous processes • High levels of visibility across the value chain and between operations Mechanization Automation Optimization The mining industry has been through a number of technology ‘step-changes’ which have driven dramatic increases in productivity. Research into mining technologies indicate significant new technologies heralding the next era of mining productivity
  • 6. © ABB Slide 6 November 10, 2015 ABB Mining Vision Coverage To drive fundamental change in the way a Mining Enterprise works, creating dramatic increases in Health and Safety Productivity Predictability Asset Availability Energy Efficiency Quality
  • 7. © ABB Slide 9 November 10, 2015 Mining Conveyer Asset Health Temperature sensors detect overcurrent condition on conveyor drive and create alarm Control system slows belt speed to reduce risk of an issue Work order automatically raises a parts requisition Work order is sent to maintenance crew mobile devices and work is completed Condition, inspection, and work combines for a unified view of conveyer health and optimization of the current maintenance programs 1 2 3 456 The old way:  No information on upstream downstream impact  Cant prioritize significant data volumes - manual  Production, equipment and other control systems not integrated  Work order scheduling in disparate systems  No optimization of assets Value Proposition Transform real-time and historical asset data into strategic insights on the health of your mission-critical assets.
  • 8. © ABB Slide 10 November 10, 2015 Mining Plant Operations Optimization Advanced process control (APC) manages reagent dosing and flow rates in real-time (OT) Geological model and real-time material tracking provides short term feed characteristic schedule to APC Sales system monitors global index pricing for products Sales system periodically provides relative pricing updates to APC APC refines control set points to maximize returns for current feed material and product pricing On stream analyzers in plant reconcile actual feed with model to further improve predictability and optimization 1 2 3 567 The old way:  No information on relative product pricing  No information on feed material  Plant set points static  Production, equipment and other control systems not integrated Value Proposition Increase plant recovery and optimize product mix based on current pricing. 4
  • 9. © ABB Slide 11 November 10, 2015 SOLUTION COMPONENTS
  • 10. © ABB Slide 12 November 10, 2015 Solution Components Plant Reporting Mass Balance Plant Efficiency Material Logistics & Blending Inventory Management Sales & Marketing Enterpise Asset Management Work and Projects Management Maintenance Management System Lab Management Sample Tracking QA/QC Quality Geological Modeling Mine Planning/Scheduling Mine Operations
  • 11. © ABB Slide 13 November 10, 2015 Geoloigical Modeling & Mine Planning Geology & Mine Planning Other Geological Database Geological Model Excavations Model Production SchedulingMine Design Geological Database Exploration Survey Asset & Work Management Product Logistics & Sales
  • 12. © ABB Slide 14 November 10, 2015 Material Logistics and Sales Mining Activities Processing Transportation Top Soil Drilling Overburden Waste Dump Parting Removal Loading Hauling Reject Disposal Rehabilitation ROM StockpilesHauling Processing Plant Product Stockpiles Load Products Transporting Train Loading Ship LoadingPort StockpilesTrain UnloadingRail Head Stockpiles
  • 13. © ABB Slide 15 November 10, 2015 Mining Laboratory Management System (LIMS) Q B L Lab Status QA Flag Budget / Actual Sample Analytical Result Dispatch S A D Legend Assay Mgmt Lab Instrument Integration/Interface Layer ABB CCLAS Modules Lab Config. Web Interface, Dashboards & Reporting BI Reporting Rules User Forms QA & SPC ERP System D A AS DataAudit Sample Registrat’n Data Capture & MDE Data Calculat’n Scripting Sample Tracking Lab Maint. L Invoice & Revenue Task Automt’n Consum- ables Instr. Mgmt Archive/ Retrieve A A
  • 14. © ABB Slide 16 November 10, 2015 Production Accounting Management Systems (e.g. ERP) Total production by period, KPIs, qualities, inventories tons, volume, grade, moisture, hardness, penalty elements - transaction, shift, day, week, month METAL ACCOUNTING BUSINESS PROCESS
  • 15. © ABB Slide 17 November 10, 2015 Asset Management Enable PAS 55 • Standardize Asset Management practice Mobile Workforce Management • Manage assets from the point of inspection • Automate field-based processes • Optimize mobile workforce, including 3rd party contractors Asset Management Paradigms for Critical Assets • Manage in terms of both Risk and Criticality • Location based asset management with GIS integration Advanced Work Planning • Closed-loop long and real-time work planning and scheduling Materials Management • Total asset visibility • Financial fidelity of assets and improved inventory management Enterprise Visibility • Highly flexible, open analytics and reporting
  • 16. © ABB Slide 18 November 10, 2015 How it fits together – Complete Integration PA MineScape CCLAS • Supply Chain Network Configuration • Inventory & Stockpile Management • Material Tracking • Waste Dump Management • Outbound Logistics Scheduling • Blending to and Optimization • Port operations & Ship loading • Sales & Invoicing • Shipping documents • Supply & Demand Balancing • Contract Fulfilment & Management • Mining Data Reconciliation • Transaction assays • Transport assays • Ship loading assays MineMarket Laboratory Information Management System Resource block model Production Schedule Pit/UG Surveys Actual Production Aggregated transactions Daily stock balance End of period survey Reconciled transactions • Sample ID • Transaction details Block ID Assay data Moisture Assay data • Geological DB • Stratmodel • Block model • Opencut design • Underground design • Ring design • Scheduling • Mine & pit survey • Dragline • Haul roads • Drill & blast • Auto data acquisition • Auto data validation • Statistical validation • Data checks • Data sign-offs • Auditing • Cascading calculations • Check in – Check out • Statistical balancing • Data locking (quarantined) • Data publishing Ellipse ASSETS • Asset Policy • Capital Work • Register Asset • Develop Strategy • Deploy Strategy • Asset Analysis WORK • Create • Plan • Schedule • Execute • Complete • Work Analysis MATERIALS • Requirements • Source Materials • Procure • Use Materials • Distribution • Performance Analysis PEOPLE • Maintain Organization • Workforce Planning • Organizational Development • Time & Attendance • Pay & Benefits • HSSRE FINANCIAL • Financial Model • Accounts Payable • Accounts Receivable • Fixed Assets • General Ledger • Performance & Compliance ProductionSchedule EquipmentData Equip.Availability Productionbyperiod Qualitydata Inventories Financial&KPI Reserves • Production by period • Stock balance • Equipment delays • Equipment usage • Shipment actuals • Invoicing details • Budget & Forecasts • Production plans • Contracts details • Shipment schedule • Equipment master
  • 17. © ABB Slide 19 November 10, 2015 How it fits together - Operations Visibility VP Health, Safety & Compliance VP OPS CFO CIO VP Procurement KW-hours/ton Delay penalties per month Equipment- incidents / month Ship over-under load/month Drill-blast cost/ton Reagents/ton Fuel/ton Metric per Unit-Product- Produced Dig rate by shovel Dilution Availability Throughput Shipping queue length
  • 18. © ABB Slide 20 November 10, 2015 How it fits together - Intelligent Operation Data Processing and Analytics Subject Matter Workbench Geology & Mine Planing Product Logistics Equipment Performance Work Parameters Technical Specifications Sensors SCADA SCADA Feedback Information Volume Mass Quality Feedback Conditional Monitoring Operations Control Center InformationDecisions Results Historian Enterprise Data Sources EA M
  • 19. © ABB Slide 21 November 10, 2015 How it fits together - One Control Room
  • 20. © ABB Slide 23 November 10, 2015 FIND OUT MORE Visit www.abb.com/enterprise-software Email info.PGES@abb.com

Editor's Notes

  1. The slide shows an It/OT convergence scenario from the perspective of asset health. By using real-time condition data, in this case the temperature sensors on conveyer drive, the actual condition of the asset can be detected allowing proactive actions to be initiated automatically greatly reducing the risk of potential failure which would cause a loss of production. Old way: No information on upstream /downstream impact makes it hard to prioritize the manual review of significant data volumes Network, outage, equipment and other control systems not integrated making it difficult to automate actions Highly reliant on skilled operators – difficult with aging workforce Not integrated with EAM and mobility to optimize work order scheduling Lack of integration between systems makes it hard to get a holistic view on asset health – making it difficult to optimize asset management strategies.
  2. The slide shows an It/OT convergence scenario from the perspective of asset health. By using real-time condition data, in this case the temperature sensors on conveyer drive, the actual condition of the asset can be detected allowing proactive actions to be initiated automatically greatly reducing the risk of potential failure which would cause a loss of production. Old way: No information on upstream /downstream impact makes it hard to prioritize the manual review of significant data volumes Network, outage, equipment and other control systems not integrated making it difficult to automate actions Highly reliant on skilled operators – difficult with aging workforce Not integrated with EAM and mobility to optimize work order scheduling Lack of integration between systems makes it hard to get a holistic view on asset health – making it difficult to optimize asset management strategies.
  3. KPI – Key Performance Indices OEE – Overall Equipment Effectiveness SLA – Service Level Agreement
  4. The slide shows an It/OT convergence scenario from the perspective of asset health. By using real-time condition data, in this case the temperature sensors on conveyer drive, the actual condition of the asset can be detected allowing proactive actions to be initiated automatically greatly reducing the risk of potential failure which would cause a loss of production. Old way: No information on upstream /downstream impact makes it hard to prioritize the manual review of significant data volumes Network, outage, equipment and other control systems not integrated making it difficult to automate actions Highly reliant on skilled operators – difficult with aging workforce Not integrated with EAM and mobility to optimize work order scheduling Lack of integration between systems makes it hard to get a holistic view on asset health – making it difficult to optimize asset management strategies.