Introduction

Ore Deposit Models & Classification Training Course is designed to equip geologists, mining engineers, exploration professionals, resource analysts, and technical decision-makers with advanced knowledge of modern ore deposit systems, mineral exploration strategies, and classification frameworks. The course integrates economic geology, mineral systems analysis, geometallurgy, structural geology, geochemistry, GIS-based targeting, machine learning in exploration, and sustainable mining practices to provide participants with practical and industry-relevant expertise. Through real-world case studies and applied technical exercises, participants gain the ability to identify, evaluate, classify, and interpret ore-forming environments across diverse geological settings.

As the global mining industry accelerates toward critical minerals, ESG compliance, digital transformation, AI-assisted exploration, decarbonization, and resource optimization, there is increasing demand for professionals capable of understanding advanced ore deposit models and mineral classification systems. This training emphasizes trending industry concepts such as critical raw materials (CRM), battery minerals, data-driven exploration, predictive targeting, mineral resource governance, 3D geological modeling, remote sensing integration, and sustainable resource development. Participants will develop practical competencies to support exploration success, improve investment decisions, reduce geological uncertainty, and enhance operational efficiency in modern mining environments.

Programme Curriculum

Ore Deposit Models & Classification Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

Understand modern ore deposit models and mineral systems frameworks.
Apply advanced mineral exploration targeting techniques for resource discovery.
Interpret geological, geochemical, and geophysical datasets for ore evaluation.
Classify ore deposits using globally accepted economic geology standards.
Analyze critical minerals and battery metals deposit environments.
Utilize GIS, remote sensing, and 3D geological modeling tools in exploration.
Integrate AI and machine learning applications in mineral prospectivity analysis.
Evaluate structural controls influencing mineralization systems.
Assess hydrothermal, magmatic, sedimentary, and metamorphic ore-forming processes.
Conduct mineral resource estimation and reporting aligned with international codes.
Apply ESG and sustainable mining principles in exploration and resource development.
Examine global case studies on gold, copper, lithium, REE, iron ore, and polymetallic deposits.
Develop strategic exploration programs using data-driven decision-making methodologies.

Target Audience

Exploration Geologists
Mining Engineers
Resource Geologists
Geochemists and Geophysicists
GIS & Remote Sensing Specialists
Mineral Resource Analysts
Government Geological Survey Professionals
Mining Investors and Technical Consultants

Course Modules

Module 1: Fundamentals of Ore Deposit Geology

Introduction to ore-forming processes
Tectonic settings and mineralization
Magmatic, hydrothermal, and sedimentary systems
Ore textures, alteration, and paragenesis
Global mineral systems overview
Case Studies: Witwatersrand Basin Gold Deposits

Module 2: Ore Deposit Classification Systems

Genetic classification of ore deposits
Metallic vs non-metallic deposits
Porphyry, epithermal, skarn, and VMS systems
IOCG and SEDEX deposit models
Critical minerals classification frameworks
Case Studies: Olympic Dam Mine IOCG Deposit

Module 3: Structural Geology & Mineralization Controls

Faults, folds, and fracture systems
Structural controls on ore emplacement
Shear-hosted mineralization
Fluid pathways and deformation
Structural mapping techniques
Case Studies: Carlin Trend Gold Mineralization

Module 4: Geochemistry & Geophysical Applications

Exploration geochemistry principles
Pathfinder elements and anomalies
Geophysical survey interpretation
Geochemical modeling techniques
Integration of exploration datasets
Case Studies: Kupferschiefer Deposits Copper-Silver Systems

Module 5: Critical Minerals & Battery Metals

Lithium, cobalt, graphite, and REE deposits
Energy transition mineral demand
Pegmatite and brine-hosted lithium systems
Strategic minerals exploration
Sustainable supply chain considerations
Case Studies: Greenbushes Mine Lithium Deposit

Module 6: Digital Exploration Technologies

GIS-based mineral targeting
Remote sensing applications
AI and machine learning in exploration
3D geological modeling
Big data analytics for mining
Case Studies: Pilbara Region AI-driven Iron Ore Exploration

Module 7: Resource Estimation & Reporting

Mineral resource estimation fundamentals
Ore reserve classification systems
Sampling and QA/QC procedures
International reporting codes
Risk and uncertainty management
Case Studies: Escondida Mine Copper Resource Modeling

Module 8: Sustainable Mining & ESG Integration

ESG frameworks in mining
Environmental risk assessment
Responsible resource development
Social license to operate
Mine closure and rehabilitation strategies
Case Studies: Voisey's Bay Mine Sustainable Nickel Mining

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Ore classification Geological modeling Mineral exploration Resource evaluation

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Nov 02 2026

02 Nov — 06 Nov 2026

💻 Online / Virtual session

Online $1,000