Gold Exploration Course

Lesson 1 • Physical and Chemical Properties of Gold

Covers gold's atomic structure, density, malleability, and chemical inertness. Establishes the property baseline needed to recognize gold in field and laboratory settings.

Lesson 2 • Alteration Mineralogy Associated with Gold

Identifies silicification, sericitization, argillic, and propylitic alteration halos. Alteration recognition is a primary field tool for vectoring toward gold mineralization.

Lesson 3 • Geological Processes Forming Gold Deposits

Explains magmatic, hydrothermal, and sedimentary processes that concentrate gold. Links process understanding to deposit-type recognition in later chapters.

Lesson 4 • Major Gold Deposit Classifications

Introduces orogenic, epithermal, porphyry, and placer deposit types with defining characteristics. Provides the classification framework applied throughout the course.

Lesson 1 • Desktop Study and Data Compilation

Teaches systematic compilation of geological maps, reports, and remote sensing data before fieldwork. Reduces redundant work and focuses field programs on high-priority areas.

Lesson 2 • Exploration Models and Target Criteria

Defines deposit models and the geological, structural, and geochemical criteria used to rank targets. Provides the conceptual framework for all subsequent exploration decisions.

Lesson 3 • Exploration Budget and Program Design

Guides students through phased program design, cost estimation, and milestone-based decision gates. Aligns technical objectives with financial constraints and investor expectations.

Lesson 4 • Land Acquisition and Tenure Management

Covers mineral rights systems, staking procedures, and tenure maintenance obligations. Ensures students can secure and manage exploration ground legally and efficiently.

Lesson 1 • Satellite Imagery for Lithological Mapping

Covers multispectral and hyperspectral image processing to distinguish rock types and alteration zones. Directly supports deposit model application from Chapter 1.

Lesson 2 • Digital Elevation Models and Structural Interpretation

Uses DEM-derived products to identify lineaments, drainage anomalies, and structural trends. Structural interpretation builds on Chapter 1 structural geology concepts.

Lesson 3 • Prospectivity Modeling and Target Ranking

Applies weighted overlay and machine-learning methods to combine datasets into prospectivity maps. Produces ranked target lists that feed directly into field program design.

Lesson 4 • Airborne Geophysical Survey Interpretation

Introduces magnetic, radiometric, and gravity airborne datasets and their interpretation for gold exploration. Geophysical signatures are linked to deposit types from Chapter 1.

Lesson 1 • Rock and Soil Sampling Methods

Teaches chip, channel, grab, and soil sampling protocols with emphasis on representativeness and contamination prevention. Sample quality directly controls assay data reliability.

Lesson 2 • Stream Sediment and Panning Surveys

Applies stream sediment geochemistry and gold panning to detect catchment-scale gold anomalies. Connects drainage basin analysis from Chapter 3 to ground-truth sampling.

Lesson 3 • Field Data Management and QA/QC

Establishes digital data entry standards, field QA/QC checks, and data submission workflows. Ensures field data integrity before laboratory and interpretation stages.

Lesson 4 • Field Safety and Logistics Planning

Establishes safety protocols, emergency procedures, and logistical planning for remote field operations. Safety competency is a prerequisite for all subsequent field activities.

Lesson 1 • Statistical Analysis of Geochemical Data

Applies univariate and multivariate statistics to identify threshold values and element associations. Statistical rigor separates meaningful anomalies from background noise.

Lesson 2 • Laboratory Analytical Methods for Gold

Compares fire assay, aqua regia digestion, and instrumental techniques for gold and pathfinder elements. Method selection directly affects detection limits and data quality.

Lesson 3 • Pathfinder Element Interpretation

Uses arsenic, antimony, mercury, bismuth, and tellurium signatures to vector toward gold sources. Pathfinder interpretation extends the reach of geochemistry beyond direct gold detection.

Lesson 4 • Geochemical Map Production and Reporting

Produces interpolated geochemical maps, anomaly outlines, and interpretive reports for exploration decisions. Integrates geochemical outputs with geological and geophysical datasets from prior chapters.

Lesson 1 • Core and Chip Sample Recovery and Handling

Establishes procedures for core orientation, recovery measurement, and chip tray preparation. Sample integrity at this stage is critical for reliable assay and geological interpretation.

Lesson 2 • Drill Method Selection and Program Design

Compares RC, diamond, and RAB drilling methods for cost, sample quality, and geological suitability. Method selection is the first decision in any drill program and affects all subsequent data.

Lesson 3 • Geological Core Logging Procedures

Teaches systematic lithology, structure, alteration, and mineralization logging using standardized codes. Consistent logging is the foundation for resource estimation and mine planning.

Lesson 4 • Downhole Geophysics and Drill Hole Surveying

Applies downhole EM, IP, and optical televiewer tools to extend geological information beyond the drill hole. Hole surveying ensures accurate three-dimensional collar and trace positioning.

Lesson 1 • Exploratory Data Analysis for Grade Estimation

Applies statistical analysis to composited drill hole data to understand grade distribution and variability. Data understanding guides capping, compositing, and variogram modeling decisions.

Lesson 2 • Resource Classification and Compliant Reporting

Applies confidence criteria to classify resources as inferred, indicated, or measured and prepares compliant public reports. Reporting standards protect investor confidence and regulatory integrity.

Lesson 3 • Variography and Spatial Continuity Modeling

Models experimental variograms and fits theoretical models to quantify gold grade spatial continuity. Variogram parameters directly control kriging estimation quality.

Lesson 4 • Grade Estimation Methods

Applies inverse distance weighting, ordinary kriging, and indicator kriging to estimate block grades. Method comparison and validation ensure the most appropriate estimator is selected.

Lesson 1 • Emerging Technologies in Gold Exploration

Evaluates drone-based surveys, AI-assisted targeting, and novel geochemical methods reshaping gold exploration. Technology adoption decisions require cost-benefit analysis against conventional methods.

Lesson 2 • Greenfield Exploration in Underexplored Terrains

Addresses exploration challenges in remote, covered, or politically complex terrains using innovative methods. Greenfield discovery requires higher risk tolerance and creative geological thinking.

Lesson 3 • Brownfield Exploration and Mine Life Extension

Applies near-mine exploration techniques to extend resources around existing deposits. Brownfield programs offer lower discovery cost and faster value creation than greenfield programs.

Lesson 4 • Portfolio Management and Exploration Risk

Applies probability of success modeling and portfolio theory to manage exploration risk across multiple projects. Strategic portfolio management maximizes discovery probability within budget constraints.