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Johannesburg Mining Indaba

3-4 October 2018

Digital Technologies

in Mining

Nic Schoeman

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A Global Company Founded in

1984 with skills across

a wide range of commodities in the

Minerals & Metals Mining Industry

A leading multi-disciplinary

engineering and project management

company

Global Reach over 5 continents

Main engineering & design centre in

Johannesburg, South Africa

Private Company

354 Employee Shareholders

OUR COMPANY

DRA Global: May 2018 Strictly Private & Confidential 3

PRIVATE COMPANY

✓ 30 YEAR TRACK RECORD

✓ GLOBAL FOOTPRINT

✓ > 3,200 PEOPLE

✓ 15 OFFICES

✓ > 50% ANNUITY BASED EARNINGS

A Global Company

Strictly Private & Confidential

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Total Solutions Partner: Mine-to-port.

Open cast mining1

Underground mining2

Winding systems3

Materials handling4Minerals processing5

Operations6

Infrastructure7

Energy / Water8

Ports8

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OUR BUSINESS

Mineral Processing Plants & Engineering

Mine Design, Engineering & Equipping

Infrastructure Engineering

Project & Study Management

Construction Management

Contract Operations

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Machine Learning

What is Machine Learning?

What it is:

• “Field of study that gives computers the ability to learn without being explicitly

programmed.” (Samual, 1959)

• “Machine learning and statistics are closely related fields. The ideas of machine learning,

from methodological principles to theoretical tools, have had a long pre-history in

statistics.” (Jordan,2014)

• M.I. Jordan also suggested the term data science as a placeholder to call the overall field.

What it’s not:

• Unlike rules-based systems which require a human expert to hard-core domain knowledge

directly into the system, a machine learning algorithm learns how to make decisions from

the data alone.

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Data Science Value vs Difficulty

Descriptive

Analytics

Diagnostic

Analytics

Predictive

Analytics

Prescriptive

Analytics

How can we

make it happen?

What will

happen?

Why did it

happen?

What

happened?

Difficulty

Valu

e

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Drill Core Database mapped to Resource Model

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Resource Model showing mapped drill holes

Total database of mapped drill core points in Resource Model

Indicated Resource

Area Drill Holes

Inferred & Unclassified

Resource Area Drill

Holes

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Area 1

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GeoMet Resource model grade map vs Pt Equivalent map vs POV map

Area 1 4E map vs. Pt Equivalent map vs POV Map

4E Head grade map Pt Equivalent grade map POV map

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BIM

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BIM Services

• Existing Conditions

Models

• Safety & Logistics

Models

• Animations,

renderings,

walkthroughs

• bIM driven

prefabrication

• Laser accurate bIM

driven field layout

– Scanning

– Ground Penetration SCHDULING

• Project Phasing

Simulations

• Lean Scheduling

• Visual Validation for

Payment Approval

– Last Planner

– Just In Time (JIT)

– Detailed Simulation

Installation

ESTIMATING

• Real time

conceptual

modelling and cost

planning

• Quality extraction to

support detailed

cost estimates

• Trade Verifications

• Value Engineering

• Prefabrication

Solutions

– Structural Steel

– Mechanical Plumbing

– Electrical

– Visualisations

– Quantity Extractions

– Equipment Rooms

– MEP Systems

– Unique architectural

and structural

elements

SUSTAINABILITY

• Conceptual energy

analysis via D Profiler

• Detailed energy

analysis via Eco

Tech

• Sustainable element

tracking

• LEED tracking

FACILITY

MANAGEMENT

APPLICATIONS

• Life Cycle bIM

Strategies

• bIM As_Builts

• bIM embedded O&M

Manuals

• COBie data

population and

extraction

• bIM Maintenance

Plans and Technical

Support

• bIM file hosting on

Lend Lease’s Digital

Exchange System

3D4D

5D 6D 7D

BIM Services

BIM

Dim

en

sio

ns

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DRA - Mine Operating Management System

DRA have developed an Operations Management Information System, called MOMS.

• MOMS 1.0 conforms to ISA 95 standard, to a high degree

MOMS can collect all relevant data into one central data model

• Across multiple production sites,

• Or a single production site,

• From any enterprise data source, such as :-

• SCADAs, PLCs, Laboratory Information Management Systems (LIMS),

• Condition Monitoring Maintenance Systems (CMMS),

• Enterprise Resources Planning (ERP) and Enterprise Asset Management (EAM) systems,

• Manually captured data via desktop software like Microsoft Excel, etc.

These data are logically structured, time stamped, and archived in a dedicated process historian.

Such data can be processed and displayed

• in real time or historical

• in several possible layouts

• through dashboards, interactive reports, and notifications

• to any specified user on either his PC / Laptop / smartphone, or a smart device using HTML.

MOMS supports quicker, more informed decisions, to improve the mine site performance.

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Systems Integration –Digitized information sharing

Sage X3

Materials Resource

Planning (Supply Chain)

Workflow

Financial Management

& Accounting

Human Resources

Management

Collaboration

Business Intelligence

Procurement

Management

Information System

Enterprise Asset

Management

Safety &

Compliance

Orb Fusion

Sage

Financials

Sage Payroll

HR Manage

SharePoint

Office 365

Power BI

Sage X3

Moms

Pragma V5

Minopex SRMA

(DigiLex)

Firefly

(T&A)

Supporting & Enabling

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THANK YOU

Questions ?