Reserves and Resources Classification and Reporting Training Course

Reserves and Resources Classification and Reporting Training Course

Introduction

Reserves and Resources Classification and Reporting Training Course is designed to equip professionals in the mining, oil and gas, and natural resources industries with advanced knowledge and practical skills in mineral resource estimation, reserves evaluation, resource classification, technical reporting, and asset valuation. Participants will develop a deeper understanding of geological confidence, data quality assurance, estimation methodologies, modifying factors, technical assumptions, and the reporting requirements that support reliable resource evaluation. The course also highlights emerging industry trends such as digital resource modelling, geospatial analytics, data-driven geological interpretation, ESG integration, and risk-based resource assessment.

Through practical exercises, industry-based case studies, and expert-led discussions, participants will learn how to transform geological information and technical studies into defensible resource and reserve statements that support strategic planning, investment evaluation, project financing, and operational decision-making. The programme emphasizes international reporting compliance, competent person responsibilities, uncertainty analysis, economic viability assessment, and transparent disclosure to help organizations reduce technical risks and enhance stakeholder confidence. Participants will explore how mining and petroleum projects can improve resource conversion, optimize exploration expenditure, assess project feasibility, and maintain accurate resource inventories throughout the asset lifecycle. The training also addresses common reporting challenges, including inconsistent geological databases, classification errors, changes in commodity prices, regulatory expectations, and the impact of environmental, social, legal, and infrastructure constraints on reserve estimation. By the end of the course, delegates will be better prepared to contribute to robust resource evaluation processes, strengthen corporate governance, improve reporting quality, and support sustainable value creation across exploration, development, production, and asset closure.

Course Duration

5 days

Course Objectives

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

1. Master international reporting standards: Understand the principles and requirements of JORC, NI 43-101, CRIRSCO, and UNFC classification frameworks.
2. Differentiate mineral resources and reserves: Accurately distinguish exploration results, inferred, indicated, and measured resources from probable and proven reserves.
3. Improve geological resource estimation: Apply appropriate geological modelling and estimation principles to support reliable resource evaluation.
4. Evaluate data quality and integrity: Implement quality assurance and quality control (QA/QC) procedures for geological sampling, drilling, and analytical data.
5. Apply resource classification criteria: Assess geological confidence, data density, continuity, and uncertainty when assigning resource categories.
6. Understand competent person responsibilities: Identify professional accountability, qualification requirements, and disclosure obligations under relevant reporting codes.
7. Integrate modifying factors: Evaluate mining, metallurgical, economic, legal, environmental, social, and infrastructure considerations in reserve conversion.
8. Strengthen technical reporting compliance: Prepare transparent, consistent, and auditable reserves and resources statements.
9. Conduct resource uncertainty analysis: Apply sensitivity analysis, risk assessment, and scenario modelling to understand estimation uncertainty.
10. Enhance digital resource modelling: Explore 3D geological modelling, geospatial technologies, database management, and advanced estimation tools.
11. Improve economic feasibility assessment: Connect resource estimates with mine planning, production schedules, project economics, and investment decisions.
12. Integrate ESG and sustainability considerations: Assess how environmental permits, social commitments, climate risks, and closure liabilities affect project viability.
13. Optimize resource management strategies: Develop continuous monitoring and reconciliation processes that improve reserve replacement, reporting accuracy, and long-term asset value.

Target Audience

1. Exploration geologists and senior geologists.
2. Mining engineers and mine planning professionals.
3. Resource geologists and mineral resource estimation specialists.
4. Petroleum geologists, reservoir engineers, and subsurface evaluation professionals.
5. Competent persons, qualified persons, and technical reporting consultants.
6. Mining project managers and natural resources investment analysts.
7. Geostatisticians, geological modellers, and data analytics specialists.
8. Regulatory professionals, auditors, corporate reporting officers, and technical due diligence teams.

Course Modules

Module 1: Fundamentals of Reserves and Resources Classification

• Definitions and principles of exploration results, mineral resources, and mineral reserves.
• Key differences between geological confidence and economic mineability.
• Classification categories: inferred, indicated, measured, probable, and proven.
• Resource development lifecycle from exploration to production and closure.
• Case Study: Evaluating a developing mineral deposit and identifying the evidence required to progress from exploration results to a classified resource estimate.

Module 2: International Reporting Standards and Regulatory Frameworks

• Overview of the JORC Code and its transparency, materiality, and competence principles.
• NI 43-101 requirements for mineral project disclosure in Canada.
• CRIRSCO International Reporting Template and global reporting harmonization.
• UNFC classification principles and their application to resource management.
• Case Study: Comparing the reporting requirements for a mining project preparing disclosures for Australian and Canadian investors.

Module 3: Geological Data Collection, Validation, and QA/QC

• Geological mapping, drilling programmes, sampling, and assay data management.
• Data verification, database validation, and digital audit trails.
• QA/QC protocols involving blanks, standards, duplicates, and laboratory checks.
• Managing missing data, sampling bias, analytical errors, and geological uncertainty.
• Case Study: Investigating inconsistent assay results from a gold exploration project and developing a data validation and corrective-action plan.

Module 4: Geological Modelling and Resource Estimation Techniques

• Geological interpretation, lithological domains, structural controls, and mineralization continuity.
• Three-dimensional geological modelling and block model construction.
• Introduction to geostatistics, variography, and spatial data analysis.
• Comparison of estimation methods, including inverse distance weighting and ordinary kriging.
• Case Study: Developing a conceptual block model for a copper deposit and assessing how geological domaining affects estimated resource tonnage and grade.

Module 5: Resource Classification, Confidence, and Uncertainty

• Criteria for assigning inferred, indicated, and measured resource categories.
• Influence of drilling density, sample quality, geological continuity, and estimation uncertainty.
• Confidence assessment and validation of geological interpretations.
• Sensitivity analysis, estimation risk, and uncertainty communication.
• Case Study: Reclassifying sections of an iron ore resource model after additional drilling reveals differences in geological continuity and confidence.

Module 6: Mineral Reserve Estimation and Modifying Factors

• Principles of converting mineral resources into probable and proven reserves.
• Mining methods, dilution, ore loss, recovery, and mine design considerations.
• Metallurgical testing, processing recovery, and product quality assessment.
• Economic, legal, environmental, social, infrastructure, and permitting factors.
• Case Study: Assessing whether an indicated copper resource can support a probable reserve declaration following mine design, metallurgical testing, and economic evaluation.

Module 7: Technical Reporting, Disclosure, and Competent Person Responsibilities

• Preparation of compliant mineral resource and reserve statements.
• Competent person and qualified person responsibilities under applicable codes.
• Material assumptions, technical disclosures, limitations, and supporting documentation.
• Internal reviews, independent verification, audit trails, and governance controls.
• Case Study: Reviewing a draft resource statement that contains unsupported classification claims and incomplete disclosure of material assumptions.

Module 8: Resource Reconciliation, Digital Innovation, and Strategic Optimization

• Resource-to-reserve conversion tracking and production reconciliation.
• Integrating exploration updates, grade control, and mine production data.
• Digital resource management using GIS, 3D models, automation, and advanced analytics.
• Incorporating ESG considerations, closure obligations, and changing economic scenarios.
• Case Study: Evaluating differences between predicted and actual mine production, updating the geological model, and developing a resource replacement and reporting improvement strategy.

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@datastatresearch.org or call +254724527104 

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 DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.