Beak Consultants GmbH

Am St. Niclas Schacht 13

09599 Freiberg / Germany

Phone +49-3731-781350

Fax +49-3731-781352

Digitalisierung in der

Rohstofferkundung: Von der

Intuition zu quantitativer

hybrider Datenanalyse

Andreas Barth, Andreas Brosig, Andreas Knobloch,

Peggy Hielscher, Peter Bock, Hartmut Kühne,

Martin Köhler, Andreas Kempe

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Geospatial Data Management

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Machine Learning, Big Data Processing

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Customised Software Development

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Applied Geology, Geo-hazard analysis,

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Remote Sensing

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Environmental Sciences

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EU for Research and Development

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World wide for IT & Mining Sector services

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Focus: Africa

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ISO 9001:2015 certificate

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More & innovative technologies:

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Remote sensing

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Own drone is flying

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AI in 3D modelling

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Geophysics

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International competence:

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8 nationalities at Beak: India, Russia,

Albania, Colombia, Germany,

Mozambique, Brazil, Spain

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Currently: Projects in 10 countries

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Mix of experienced and young scientists

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52 employees and trainees

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27 male and 25 female

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Average age: 43 years

Data Management

Machine Learning

Data capture

• Applied Geosciences

• Data Management

• Artificial Intelligence

Combination of

Knowledge and Data Based Mapping

2D & 2,5D

Predictive

Mapping

eCommerce

3D Predictive Mapping

Web IS

Mobile Data Capture

Data Base & GIS

2D Predictive Mapping

• No more paper

• No more duplicate numbers

• Correct coordinates

• Structured data captured

• Data independent of people

• Full background maps

available

• Internet connectivity

• Synchronised with central

database

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1996-2000: Karte oberflächennaher

Rohstoffe: Daten und Software –

ACCESS und ARCVIEW 3.2

→

Gewinnung, Speicherung,

Verfügbarmachung, Bewertung von

Rohstoffdaten

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: Development of AI application in Geosciences, mainly for mineral predictive mapping and geo-

hazard modelling

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Our playground is the

with its enormous historical database: geology, minerals, geophysics,

geochemistry –

2010 - 2013

Sn in Silikaten

2012

• Die

→

Nutzung der historischen Daten zur Erstellung von „Value-adding

products“: Qualitative and Quantitative 2.5D Predictive Mapping in the Central Erzgebirge (2016)

• In 2018: Development of

real 3D AI – applications

• The Erzgebirgsnordrand

– Project

• 3D Modelling of a

concealed granite and of

the potentially related Sn

• 3D-Modelling of the Sn

potential in skarns and

structures

Distance to

granites

Distance to NE-SW

faults

Distance to NW-

SE faults

Fracture

proneness

Lime content

Training

data

Sn potential in

structures

R/D project and new data

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were spent for

mineral resources and geological

exploration

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is the key issue for:

• mining sector development

• land use and infrastructure

planning

• environmental protection

• geo-hazard prevention

• forestry, agriculture

• water management

• …

• Data

is of top priority

for investment attraction

Data is Money ?

→

Data is money !

Political framework?

Mining Legislation?

Decision making

processes?

Licensing procedures?

Taxation?

Infrastructure?

Labour Forces?

Security of investment?

Social environment?

Investment

Decision making

Factors:

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Availability of Data

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→

Geology and Minerals

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Opportunities

Advertisement of airborne

geophysical data (Director of the

GGSA, 2009, New Orleans)

Au predictive map SW Ghana

(Beak, GGSA, TU BAF: 2013)

Full IMS

The Datashop

The web portal

Institut. Website

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Start form

Look up tables,

User management,

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View

Docu-

ments

Library,

Archive

Spatial

data, Maps

Mineral

occurrences

Bore holes

Drill core

depot

Map printing

Cadastre

Geophysics

Geochem

Geol. Maps,

Legends

.........

Map printing

Meta data & files

Database

Management

Real data

Connectivity to GIS

GIS

1. Identification of Au targets for ASM

activities - Ghana

2. Mineral Development Plan –

Burkina Faso

3. Mining Sector Decision Support

System Nigeria

GHANA

FORMALISATION PROJECT (GASMFP)

Andreas Barth, Samuel Torkornoo, Kwame Boamah,

Edmund Hassan, Andreas Brosig, Stefan Schäfer

500 m

Within just10 years about 50 % of the land was lost.

AI based method, implemented in

advangeo® prediction software

Three steps:

• Initial targeting for general target

area identification

• Interim targeting for field work

planning (after stream sediment

sampling)

• Final targeting using all field work

results (considering all data)

The target map improves as new

data is considered.

• Cut off grade assumed as 0.01 g/m

3

• Adjusted to geomorphological features

• 47 blocks outlined

• Total area: 11.2 km

2

containing 379 kg of fine gold

• Thickness: 1m, overburden: 0.7m

• Contained gold value of 1 m

2

: 1.9 USD

• Compensation Value of a Cocoa tree: 10 USD

• The Cocoa tree occupies 7.5 m

2

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• Rehabilitation, salary and cap expenses not

considered.

Geophysical data only

Geophysical data

and thrust faults

Geophysical data,

geology and thrust

faults

Expected parameters of the

mineralised zones

• Shape: lense-like; scenery-like

and staggered arranged

• striking extension: several

hundred meters,

• Thickness: n * 10 m

• grades: between 0.2 and > 10 g/t

• vertical extension: at least as the

striking extension: several

hundred meters

• dipping: vertical or steep to NW

• Bearing high-grade and low

thickness quartz veins.

• The mountainous area allows

typical vein mining by adits, drifts

and steep stopes.

• Much less environmental

footprint

• Better organised and better to

control

Presentation as Investor friendly

advertisement materials

1. Creation of a strategic planning

document for mineral sector

development

2. Consideration of all existing

data

3. Development of a

communication strategy

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Metallogenic scheme based on known-deposits

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Knowledge-based approach

9/13

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Au is found in 3 main settings:

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Tarkwaian conglomerates

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Birimian veins & stockworks in shear-zones

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and, as a product of both, in meso-cenozoic eluvial and alluvial placers

Fig. 5 – Metallogenic scheme of Burkina Faso and

its legend

Data inventory & mineral potential maps

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The Birimian belts host

most mines and mining

projects of the country

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Au

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Gaoua, Bissa, Boungou,

Essakane, Poura…

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Zn

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Perkoa

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Other metals (not in operation):

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Mn (Tambao, in the Oudalan –

Gourouol - belt),

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Sb (Mafoufou, in the Goren

Arc),

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Cu (Gaoua, in the Boromo belt)

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Need for diversification of

the mining sector

8/13

Fig. 4 – Map of mines of Burkina Faso

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Example of Ni

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Locations of all nickel deposits and occurrences

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Geophysics – Spectrometry – Potassium\Potassium

(resampled)

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Geophysics – Spectrometry – Thorium\Thorium (resampled)

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Geophysics – Spectrometry – Uranium\Uranium (resampled)

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Magnetism reduced to equator (resampled)

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Magnetism reduced to equator; slope (resampled)

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Geophysics – Magnetics\Analytical signal

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Geophysics – Magnetics\Analytical signal ; Slope

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Geophysics – Magnetics\General derivative

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Geophysics – Magnetics\Horizontal gradient

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Geophysics – Magnetics\Tilt gradient

10/13

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per type / per priority: each substance receives a score

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General project management, including management of the database and the

communication platform

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Short-term activities (years 0 – 2): study of known Li-U-Sulphides anomalies

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Medium- and long-term activities (years 2 – 8): progressive coverage of the country (5 zones)

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National stream sediments survey

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EM surveys

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Long-term activities (years 4 – 10): data

processing & target-reconnaissance fieldwork

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Geodata Web Portal

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Public conferences & Workshops

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Publication of findings in scientific reviews

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Product releases

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Annual mining event

11/13

Implementation of the Nigerian

Mineral Resources Decision Support

System (NMRDSS)

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– Backend data management and processing

– Public Web Portal for data presentation and processing

– Data distribution

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– Integrate the system into the daily working processes

– Offer innovative value adding products, as:

• Mineral predictive maps

• Metallogenic maps

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Cameroun

BUREAU DES MINES ET

DE LA GÉOLOGIE DU

BURKINA (BUMIGEB)

Ministère des Mines et

du Pétrole

Projet de Gouvernance

du Secteur des Mines

(PGSM)

This project

has received funding from the European Union’s Horizon 2020 research and innovation programme

under the Grant Agreement No. 869398.

Beak Consultants GmbH, Germany

Geological Survey of Finland (GTK), Finland

Technical Research Centre of Finland (VTT), Finland

UNSW Sydney, Australia

Geoscience Australia, Australia

University of Western Australia / Centre for Exploration Targeting, Australia

United States Geological Survey (USGS), USA

Natural Resources Canada (NRCan), Canada

1-3 November 2022