Geological Data Analysis, Sampling and 3D Geological Modelling

Reliable geological data is essential for exploration targeting, resource evaluation, mine planning, operational decision-making, and technical reporting. Weak data control, inconsistent naming, poor sampling discipline, unverified assay information, or unsupported geological interpretation can lead to major technical errors and costly project decisions. This program provides a structured applied learning pathway for geologists, exploration teams, database managers, resource staff, mine planners, and technical professionals working with geological data. Participants will learn how geological information is generated from mapping, drilling, sampling, assays, geophysical observations, structural measurements, lithological logging, alteration mapping, and mineralization interpretation. The course explains how geological databases should be organized, validated, corrected, and prepared before interpretation and modelling. It also emphasizes sampling techniques and quality control procedures as essential safeguards for reliable exploration and mining decisions. Participants will review geological logging, lithological coding, structural analysis, mineralized zone interpretation, and two-dimensional section preparation. The program then connects interpretation outputs with practical two-dimensional and three-dimensional geological modelling workflows using common industry software concepts. It is ideal for professionals seeking to improve geological data quality, sampling reliability, interpretation consistency, and model validation in exploration and mining projects.

Participants will achieve the following objectives by this course:

This program targets a professional audience seeking to improve knowledge and skills:

• Geological data lifecycle from field mapping to digital modelling.

• Mapping, drill holes, samples, assays, geophysics, and structures.

• Lithology, alteration, mineralization, and geological coding.

• Database formats, nomenclature, duplicates, inconsistencies, and errors.

• Assay control and validation before interpretation and modelling.

• Sampling protocols, chain of custody, and traceability.

• Quality assurance and quality control using blanks, standards, and duplicates.

• Geological logging, structural analysis, and mineralized zone interpretation.

• Two-dimensional sections and three-dimensional geological modelling.

• Model validation checks and uncertainty communication.

• Organize and validate geological, drilling, sample, and assay data.

• Apply correct sampling and quality control procedures.

• Identify data quality issues before interpretation and modelling.

• Interpret logs and build consistent geological sections.

• Define mineralized zones using geological and assay evidence.

• Create practical two-dimensional and three-dimensional geological models.

• Validate geological models against source data and interpretations.

• Support exploration and mine planning with reliable geological information.

• Professional technical instruction supported by exploration and mining examples.

• Applied case studies in geological data management and validation.

• Practical exercises on sampling protocols and quality control review.

• Geological logging and lithological coding discussions.

• Interpretation exercises using drilling, assay, and structural information.

• Two-dimensional section-building activities.

• Geological modelling workflow demonstrations.

• Development of practical geological data and modelling recommendations.

This training program is delivered over five intensive training days in a professional applied format, combining technical instruction, applied case studies, geological data lifecycle review, database validation exercises, sampling and quality control discussions, geological interpretation activities, section-building exercises, digital modelling workflow review, model validation checks, and practical recommendations for exploration and mining projects.