Mineral Resource Modelling, Estimation and Classification Training Course

Course Introduction

Mineral resource modelling, estimation, and classification are essential processes that transform geological exploration data into reliable resource information for strategic mining decisions. This comprehensive training course provides participants with advanced knowledge of geological modelling, geostatistics, resource estimation methodologies, block modelling, uncertainty analysis, and internationally recognized resource classification standards. Participants will develop practical competencies to generate accurate mineral resource models that support mine planning, feasibility studies, investment decisions, and sustainable mineral resource development.

As mining companies increasingly rely on high-quality geological data and advanced digital technologies, resource estimation has become a highly specialized engineering discipline. This course examines the complete resource evaluation workflow, beginning with data acquisition and validation through geological interpretation, domain modelling, variography, interpolation techniques, resource classification, reporting, and model validation. Participants will gain the expertise required to improve estimation accuracy while reducing technical uncertainty and project risk across diverse mineral deposit types.

The program integrates geological interpretation, sampling methodologies, drilling data management, geostatistical analysis, three-dimensional geological modelling, and resource estimation software into a comprehensive resource modelling framework. Practical case studies and real-world mining examples demonstrate how multidisciplinary datasets are combined to develop robust resource models that comply with international reporting codes while supporting operational planning and long-term business objectives.

Special emphasis is placed on internationally accepted mineral resource reporting frameworks, including JORC, NI 43-101, SAMREC, and other recognized industry standards. Participants will learn best practices for quality assurance and quality control (QA/QC), geological domaining, estimation validation, reconciliation, uncertainty assessment, and technical documentation to ensure transparent, reliable, and defensible mineral resource reporting for stakeholders and investors.

The course also explores emerging technologies that are reshaping mineral resource evaluation, including artificial intelligence, machine learning, cloud computing, digital twins, automated geological interpretation, hyperspectral analysis, advanced geostatistics, predictive analytics, and integrated resource management platforms. Participants will understand how digital transformation enhances modelling efficiency, improves estimation confidence, accelerates project delivery, and supports data-driven resource management decisions.

Upon successful completion of the program, participants will possess advanced competencies in mineral resource modelling, estimation, classification, validation, and reporting. They will be equipped to develop accurate resource models, apply internationally recognized classification standards, manage geological uncertainty, optimize resource confidence, and contribute effectively to exploration, mine planning, feasibility studies, and sustainable mining operations.

Duration

10 days

Who Should Attend

• Resource Geologists

• Mining Geologists

• Exploration Geologists

• Mining Engineers

• Mine Planning Engineers

• Geostatisticians

• Geological Database Managers

• Mineral Resource Consultants

• Technical Services Engineers

• GIS and Spatial Data Specialists

• Project Geologists

• Competent Persons and Qualified Persons

• Mining Project Managers

• Metallurgical Engineers

• Government Geological Survey Professionals

Course Objectives

• Develop advanced expertise in mineral resource modelling, estimation, and classification methodologies that improve geological confidence, resource accuracy, and strategic mining decision-making across diverse mineral deposit types.

• Apply geological interpretation, domaining techniques, drilling information, sampling protocols, and structural analysis to develop robust three-dimensional geological models supporting reliable resource estimation.

• Utilize advanced geostatistical techniques including variography, kriging, inverse distance weighting, and simulation methods to improve estimation precision and quantify geological uncertainty effectively.

• Design and validate block models using internationally recognized geological modelling principles, estimation workflows, and industry-leading resource modelling software applications.

• Implement rigorous quality assurance and quality control procedures to ensure data integrity, sampling reliability, laboratory accuracy, and confidence in mineral resource estimation outcomes.

• Evaluate mineral resource classification criteria using JORC, NI 43-101, SAMREC, and other international reporting standards to produce transparent and defensible technical reports.

• Perform comprehensive estimation validation, reconciliation analysis, sensitivity testing, and uncertainty assessments that improve confidence in mineral resource reporting and operational planning.

• Integrate geological, geochemical, geophysical, structural, and drilling datasets into comprehensive digital resource models that support exploration success and mine development strategies.

• Apply modern software platforms, automation technologies, cloud-based collaboration, and digital workflows to improve resource modelling efficiency, consistency, and project delivery performance.

• Evaluate emerging technologies including artificial intelligence, machine learning, predictive analytics, and digital twins for next-generation mineral resource modelling and estimation applications.

• Develop sustainable resource evaluation strategies that support environmental stewardship, responsible resource management, investment confidence, and long-term mining project success.

• Strengthen technical leadership, multidisciplinary collaboration, and professional reporting capabilities through practical case studies, modelling exercises, peer reviews, and internationally recognized industry best practices.

Comprehensive Course Outline

Module 1: Fundamentals of Mineral Resource Estimation

• Principles of mineral resource modelling and estimation workflows

• Resource evaluation terminology, concepts, and industry applications

• Mineral resource lifecycle from exploration to mine planning

• International reporting standards and professional responsibilities

Module 2: Geological Data Collection and QA/QC

• Geological database design and quality management principles

• Sampling protocols ensuring representative geological information

• Drillhole validation and quality assurance procedures for exploration

• Laboratory data verification and analytical quality control methods

Module 3: Geological Interpretation and Domaining

• Geological interpretation techniques supporting resource modelling accuracy

• Mineralized domain construction using geological continuity principles

• Structural geology integration into three-dimensional resource models

• Lithological modelling supporting reliable estimation methodologies

Module 4: Three-Dimensional Geological Modelling

• Three-dimensional geological wireframe construction methodologies

• Implicit and explicit geological modelling techniques comparison

• Geological solids generation supporting block model development

• Model refinement through multidisciplinary geological interpretation

Module 5: Geostatistics for Resource Estimation

• Statistical analysis of exploration datasets supporting estimation quality

• Variography development and interpretation for spatial continuity analysis

• Probability distributions influencing mineral resource estimation decisions

• Data transformation techniques improving estimation reliability outcomes

Module 6: Resource Estimation Techniques

• Ordinary kriging applications for advanced mineral resource estimation

• Inverse distance weighting and nearest neighbor estimation approaches

• Conditional simulation methods supporting uncertainty evaluation

• Selection of estimation techniques for varying deposit characteristics

Module 7: Block Model Development

• Block model design aligned with mining selectivity requirements

• Parent and sub-block modelling methodologies for complex orebodies

• Attribute coding and geological parameter assignment procedures

• Block model optimization supporting operational mine planning

Module 8: Validation and Reconciliation

• Validation techniques ensuring estimation accuracy and reliability

• Swath plots and visual comparisons supporting model verification

• Grade reconciliation methodologies between models and production

• Sensitivity analysis improving estimation confidence and robustness

Module 9: Mineral Resource Classification

• Classification criteria based on geological confidence and data quality

• Application of JORC, NI 43-101, and SAMREC reporting frameworks

• Measured, Indicated, and Inferred resource classification methodologies

• Documentation supporting transparent resource reporting practices

Module 10: Uncertainty and Risk Assessment

• Quantifying geological uncertainty using advanced statistical methods

• Risk assessment supporting investment and operational decisions

• Scenario analysis for strategic resource evaluation planning

• Managing estimation uncertainty throughout project lifecycles

Module 11: Digital Resource Modelling Technologies

• Industry-standard software applications for resource modelling projects

• Cloud-based collaboration improving multidisciplinary modelling workflows

• Automated geological interpretation using intelligent digital tools

• Database integration supporting efficient resource management systems

Module 12: Emerging Technologies in Resource Estimation

• Artificial intelligence applications improving estimation performance

• Machine learning techniques supporting geological pattern recognition

• Digital twins enhancing mineral resource management capabilities

• Predictive analytics supporting exploration and resource growth strategies

Module 13: Resource Reporting and Governance

• Preparation of compliant mineral resource technical reports

• Professional ethics and governance in resource estimation practices

• Regulatory compliance supporting investor confidence and transparency

• Technical documentation standards for resource evaluation projects

Module 14: Resource Modelling for Mine Planning

• Integration of resource models into strategic mine planning workflows

• Cut-off grade optimization supporting economic resource evaluation

• Resource conversion supporting reserve estimation methodologies

• Long-term production scheduling using resource model outputs

Module 15: Sustainability and Future Resource Management

• Responsible mineral resource management supporting sustainable mining

• ESG considerations influencing resource evaluation and reporting

• Innovation trends shaping future resource modelling methodologies

• Critical mineral resource evaluation for energy transition projects

Module 16: Integrated Case Studies and Practical Applications

• Comprehensive mineral resource modelling using real-world datasets

• End-to-end estimation workflow from drilling to classification

• Resource validation and reporting through multidisciplinary case studies

• Final project demonstrating advanced modelling and estimation competencies

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.